# SAGE / linear algebra > Source: Benchize (https://benchize.com) — https://benchize.com/benchmarks/vals-ai%3Asage%3Alinear_algebra. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/benchmarks/vals-ai%3Asage%3Alinear_algebra. Student Assessment with Generative Evaluation Canonical URL: https://benchize.com/benchmarks/vals-ai%3Asage%3Alinear_algebra Last updated: Wed, 21 Oct 2026 18:52:20 GMT Reproduction and quotation must name Benchize, link to the canonical HTML URL, and retain individual source citations. Student Assessment with Generative Evaluation Professional work · Models tested: 41 · Score publishers: Vals AI ## Model results | # | Model | Score | ± | Cost | Latency | | | --- | --- | --- | --- | --- | --- | --- | | 1 | [Claude Opus 4.8](https://benchize.com/models/claude-opus-4-8-max.md)Max | 78.25% | SE ±4.69 pp | $0.41 | 116.99source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 78.253 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.40882 \| USD \| per_test \| Lower is better \| \| `latency` \| 116.985 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 30000 provider Anthropic reasoning Not reported Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.69 pp sourcePopulation 91 stderr 4.694 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label anthropic/claude-opus-4-8 Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/anthropic~1claude-opus-4-8` | | | | | | | | 2 | [Claude Opus 4.7](https://benchize.com/models/claude-opus-4-7-max.md)Max | 77.04% | SE ±4.78 pp | $0.31 | 97.42source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 77.039 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.309413 \| USD \| per_test \| Lower is better \| \| `latency` \| 97.423 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 128000 provider Anthropic reasoning Not reported Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.78 pp sourcePopulation 91 stderr 4.779 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label anthropic/claude-opus-4-7 Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/anthropic~1claude-opus-4-7` | | | | | | | | 3 | [Claude Opus 5](https://benchize.com/models/claude-opus-5-max.md)Max | 76.06% | SE ±4.88 pp | $0.2 | 39.3source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 76.056 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.195615 \| USD \| per_test \| Lower is better \| \| `latency` \| 39.301 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 30000 provider Anthropic reasoning Not reported Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.88 pp sourcePopulation 91 stderr 4.88 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label anthropic/claude-opus-5 Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/anthropic~1claude-opus-5` | | | | | | | | 4 | [GPT-5.5](https://benchize.com/models/gpt-5-5-xhigh.md)Extra high | 74.44% | SE ±4.92 pp | $0.11 | 44.7source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 74.436 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.114649 \| USD \| per_test \| Lower is better \| \| `latency` \| 44.698 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider OpenAI reasoning Not reported Reasoning effort xhigh Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.92 pp sourcePopulation 91 stderr 4.923 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label openai/gpt-5.5 Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/openai~1gpt-5.5` | | | | | | | | 5 | [Gemini 3.1 Pro Preview](https://benchize.com/models/gemini-3-1-pro-preview-high.md)High | 74.21% | SE ±4.95 pp | $0.07 | 57.32source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 74.205 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.065497 \| USD \| per_test \| Lower is better \| \| `latency` \| 57.323 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider Google reasoning Not reported Reasoning effort high Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.95 pp sourcePopulation 91 stderr 4.952 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label google/gemini-3.1-pro-preview Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/google~1gemini-3.1-pro-preview` | | | | | | | | 6 | [Gemini 4 Argon](https://benchize.com/models/gemini-4-argon-high.md)High | 74.03% | SE ±4.91 pp | $0.09 | 51.09source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 74.031 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.093238 \| USD \| per_test \| Lower is better \| \| `latency` \| 51.094 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 262144 provider Google reasoning Not reported Reasoning effort high Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.91 pp sourcePopulation 91 stderr 4.909 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label google/gemini-4-argon Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/google~1gemini-4-argon` | | | | | | | | 7 | [Gemma 4 31B](https://benchize.com/models/gemma-4-31b-it-high.md)High | 72.64% | SE ±5.05 pp | $0 | 94.49source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 72.643 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0 \| USD \| per_test \| Lower is better \| \| `latency` \| 94.494 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider Google reasoning Not reported Reasoning effort high Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.05 pp sourcePopulation 91 stderr 5.046 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label google/gemma-4-31b-it Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/google~1gemma-4-31b-it` | | | | | | | | 8 | [Claude Fable 5](https://benchize.com/models/claude-fable-5-max.md)Max | 71.54% | SE ±5.18 pp | $0.55 | 76.77source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 71.544 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.55329 \| USD \| per_test \| Lower is better \| \| `latency` \| 76.765 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 30000 provider Anthropic reasoning Not reported Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.18 pp sourcePopulation 91 stderr 5.182 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label anthropic/claude-fable-5 Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/anthropic~1claude-fable-5` | | | | | | | | 9 | [Claude Fable 5.1](https://benchize.com/models/claude-fable-5-1-max.md)Max | 71.37% | SE ±5.13 pp | $0.52 | 68.04source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 71.371 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.524375 \| USD \| per_test \| Lower is better \| \| `latency` \| 68.037 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 30000 provider Anthropic reasoning Not reported Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.13 pp sourcePopulation 91 stderr 5.132 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label anthropic/claude-fable-5-1 Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/anthropic~1claude-fable-5-1` | | | | | | | | 10 | [Gemini 3 Flash Preview](https://benchize.com/models/gemini-3-flash-preview-high.md)High | 71.02% | SE ±5.1 pp | $0.01 | 32.63source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 71.024 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.014687 \| USD \| per_test \| Lower is better \| \| `latency` \| 32.629 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider Google reasoning Not reported Reasoning effort high Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.1 pp sourcePopulation 91 stderr 5.096 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label google/gemini-3-flash-preview Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/google~1gemini-3-flash-preview` | | | | | | | | 11 | [Claude Sonnet 5.5](https://benchize.com/models/claude-sonnet-5-5-max.md)Max | 70.79% | SE ±5.2 pp | $0.12 | 76.37source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 70.792 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.120698 \| USD \| per_test \| Lower is better \| \| `latency` \| 76.371 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 128000 provider Anthropic reasoning Not reported Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.2 pp sourcePopulation 91 stderr 5.201 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label anthropic/claude-sonnet-5-5 Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/anthropic~1claude-sonnet-5-5` | | | | | | | | 12 | [GPT-5.6 Sol](https://benchize.com/models/gpt-5-6-sol-max.md)Max | 70.39% | SE ±5.15 pp | $0.11 | 43.59source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 70.388 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.112568 \| USD \| per_test \| Lower is better \| \| `latency` \| 43.593 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider OpenAI reasoning Not reported Reasoning effort max Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.15 pp sourcePopulation 91 stderr 5.146 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label openai/gpt-5.6-sol Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/openai~1gpt-5.6-sol` | | | | | | | | 13 | [Gemini 3.6 Flash](https://benchize.com/models/gemini-3-6-flash-high.md)High | 69.87% | SE ±5.14 pp | $0.04 | 18.15source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 69.867 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.042437 \| USD \| per_test \| Lower is better \| \| `latency` \| 18.148 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider Google reasoning Not reported Reasoning effort high Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.14 pp sourcePopulation 91 stderr 5.138 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label google/gemini-3.6-flash Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/google~1gemini-3.6-flash` | | | | | | | | 14 | [Gemini 3.7 Flash](https://benchize.com/models/gemini-3-7-flash-high.md)High | 69.52% | SE ±5.16 pp | $0.03 | 9.12source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 69.52 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.028788 \| USD \| per_test \| Lower is better \| \| `latency` \| 9.118 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider Google reasoning Not reported Reasoning effort high Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.16 pp sourcePopulation 91 stderr 5.164 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label google/gemini-3.7-flash Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/google~1gemini-3.7-flash` | | | | | | | | 15 | [Claude Sonnet 5](https://benchize.com/models/claude-sonnet-5-max.md)Max | 69% | SE ±5.23 pp | $0.4 | 194.63source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 68.999 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.396734 \| USD \| per_test \| Lower is better \| \| `latency` \| 194.632 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 30000 provider Anthropic reasoning Not reported Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.23 pp sourcePopulation 91 stderr 5.228 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label anthropic/claude-sonnet-5 Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/anthropic~1claude-sonnet-5` | | | | | | | | 16 | [Muse Spark 1.1](https://benchize.com/models/muse-spark-1-1-xhigh.md)Extra high | 68.88% | SE ±5.18 pp | $0.02 | 38.69source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 68.884 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.02398 \| USD \| per_test \| Lower is better \| \| `latency` \| 38.693 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider Meta reasoning Not reported Reasoning effort xhigh Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.18 pp sourcePopulation 91 stderr 5.179 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label meta/muse_spark_1_1 Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/meta~1muse_spark_1_1` | | | | | | | | 17 | [GPT-6 Luna](https://benchize.com/models/gpt-6-luna-max.md)Max | 68.48% | SE ±5.22 pp | $0.0065 | 60.37source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 68.479 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.0065 \| USD \| per_test \| Lower is better \| \| `latency` \| 60.365 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider OpenAI reasoning Not reported Reasoning effort max Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.22 pp sourcePopulation 91 stderr 5.224 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label openai/gpt-6-luna Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/openai~1gpt-6-luna` | | | | | | | | 18 | [Gemini 3.5 Flash](https://benchize.com/models/gemini-3-5-flash-high.md)High | 68.31% | SE ±5.22 pp | $0.05 | 22.84source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 68.305 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.049593 \| USD \| per_test \| Lower is better \| \| `latency` \| 22.84 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider Google reasoning Not reported Reasoning effort high Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.22 pp sourcePopulation 91 stderr 5.215 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label google/gemini-3.5-flash Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/google~1gemini-3.5-flash` | | | | | | | | 19 | [Claude Opus 5.5](https://benchize.com/models/claude-opus-5-5-max.md)Max | 66.86% | SE ±5.34 pp | $0.29 | 89.83source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 66.859 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.293876 \| USD \| per_test \| Lower is better \| \| `latency` \| 89.83 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 30000 provider Anthropic reasoning Not reported Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.34 pp sourcePopulation 91 stderr 5.337 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label anthropic/claude-opus-5-5 Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/anthropic~1claude-opus-5-5` | | | | | | | | 20 | [MiniMax M3](https://benchize.com/models/minimax-m3.md) | 66.8% | SE ±5.31 pp | $0.03 | 96.7source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 66.802 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.034489 \| USD \| per_test \| Lower is better \| \| `latency` \| 96.704 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.31 pp sourcePopulation 91 stderr 5.314 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label minimax/MiniMax-M3 Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/minimax~1MiniMax-M3` | | | | | | | | 21 | [GPT-6 Sol](https://benchize.com/models/gpt-6-sol-max.md)Max | 64.14% | SE ±5.42 pp | $0.08 | 18.92source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 64.141 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.079054 \| USD \| per_test \| Lower is better \| \| `latency` \| 18.915 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider OpenAI reasoning Not reported Reasoning effort max Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.42 pp sourcePopulation 91 stderr 5.424 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label openai/gpt-6-sol Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/openai~1gpt-6-sol` | | | | | | | | 22 | [GPT-5.6 Terra](https://benchize.com/models/gpt-5-6-terra-max.md)Max | 64.03% | SE ±5.38 pp | $0.03 | 25.33source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 64.025 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.033758 \| USD \| per_test \| Lower is better \| \| `latency` \| 25.326 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider OpenAI reasoning Not reported Reasoning effort max Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.38 pp sourcePopulation 91 stderr 5.379 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label openai/gpt-5.6-terra Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/openai~1gpt-5.6-terra` | | | | | | | | 23 | [Gemini 3.5 Flash-Lite](https://benchize.com/models/gemini-3-5-flash-lite-high.md)High | 63.74% | SE ±5.42 pp | $0.01 | 9.53source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 63.736 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.01033 \| USD \| per_test \| Lower is better \| \| `latency` \| 9.53 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider Google reasoning Not reported Reasoning effort high Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.42 pp sourcePopulation 91 stderr 5.418 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label google/gemini-3.5-flash-lite Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/google~1gemini-3.5-flash-lite` | | | | | | | | 24 | [GPT-5.6 Luna](https://benchize.com/models/gpt-5-6-luna-max.md)Max | 63.22% | SE ±5.41 pp | $0.00995 | 33.28source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 63.216 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.009948 \| USD \| per_test \| Lower is better \| \| `latency` \| 33.283 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider OpenAI reasoning Not reported Reasoning effort max Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.41 pp sourcePopulation 91 stderr 5.413 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label openai/gpt-5.6-luna Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/openai~1gpt-5.6-luna` | | | | | | | | 24 | [Muse Spark 1.2](https://benchize.com/models/muse-spark-1-2-xhigh.md)Extra high | 63.22% | SE ±5.47 pp | $0.03 | 21.03source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 63.216 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.029377 \| USD \| per_test \| Lower is better \| \| `latency` \| 21.032 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider Meta reasoning Not reported Reasoning effort xhigh Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.47 pp sourcePopulation 91 stderr 5.471 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label meta/muse_spark_1_2 Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/meta~1muse_spark_1_2` | | | | | | | | 26 | [Claude Sonnet 4.6](https://benchize.com/models/claude-sonnet-4-6-max.md)Max | 63.16% | SE ±5.47 pp | $0.23 | 123.11source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 63.158 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.225951 \| USD \| per_test \| Lower is better \| \| `latency` \| 123.106 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 30000 provider Anthropic reasoning true Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.47 pp sourcePopulation 91 stderr 5.474 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label anthropic/claude-sonnet-4-6 Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/anthropic~1claude-sonnet-4-6` | | | | | | | | 27 | [MiMo-V2.6-Pro](https://benchize.com/models/mimo-v2-6-pro.md) | 62.93% | SE ±5.46 pp | $0.02 | 173.85source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 62.927 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.024337 \| USD \| per_test \| Lower is better \| \| `latency` \| 173.849 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider Xiaomi reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.46 pp sourcePopulation 91 stderr 5.457 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label xiaomi/mimo-v2.6-pro Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/xiaomi~1mimo-v2.6-pro` | | | | | | | | 28 | [Claude Haiku 5.5](https://benchize.com/models/claude-haiku-5-5-max.md)Max | 62.35% | SE ±5.48 pp | $0.02 | 103.45source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 62.348 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.015403 \| USD \| per_test \| Lower is better \| \| `latency` \| 103.446 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 128000 provider Anthropic reasoning Not reported Reasoning effort max Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.48 pp sourcePopulation 91 stderr 5.481 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label anthropic/claude-haiku-5-5 Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/anthropic~1claude-haiku-5-5` | | | | | | | | 29 | [DeepSeek V4.1 Flash](https://benchize.com/models/deepseek-v4-1-flash-high.md)High | 62.29% | SE ±5.46 pp | $0.01 | 32.3source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 62.29 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.012613 \| USD \| per_test \| Lower is better \| \| `latency` \| 32.298 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider DeepSeek reasoning Not reported Reasoning effort high Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.46 pp sourcePopulation 91 stderr 5.464 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label deepseek/deepseek-v4.1-flash Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/deepseek~1deepseek-v4.1-flash` | | | | | | | | 30 | [GPT-6 Astra](https://benchize.com/models/gpt-6-astra-max.md)Max | 62.12% | SE ±5.5 pp | $0.35 | 29.31source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 62.117 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.3535 \| USD \| per_test \| Lower is better \| \| `latency` \| 29.309 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider OpenAI reasoning Not reported Reasoning effort max Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.5 pp sourcePopulation 91 stderr 5.495 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label openai/gpt-6-astra Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/openai~1gpt-6-astra` | | | | | | | | 31 | [GPT-6.1 Sol](https://benchize.com/models/gpt-6-1-sol-max.md)Max | 59.46% | SE ±5.54 pp | $0.08 | 36.39source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 59.456 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.082922 \| USD \| per_test \| Lower is better \| \| `latency` \| 36.385 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 128000 provider OpenAI reasoning Not reported Reasoning effort max Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.54 pp sourcePopulation 91 stderr 5.542 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label openai/gpt-6.1-sol Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/openai~1gpt-6.1-sol` | | | | | | | | 32 | [Gemini 3.1 Flash Lite Preview](https://benchize.com/models/gemini-3-1-flash-lite-preview-high.md)High | 58.94% | SE ±5.55 pp | $0.00762 | 15.66source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 58.936 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.007622 \| USD \| per_test \| Lower is better \| \| `latency` \| 15.659 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider Google reasoning Not reported Reasoning effort high Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.55 pp sourcePopulation 91 stderr 5.549 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label google/gemini-3.1-flash-lite-preview Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/google~1gemini-3.1-flash-lite-preview` | | | | | | | | 33 | [MiMo-V2.5](https://benchize.com/models/mimo-v2-5.md) | 58.76% | SE ±5.57 pp | $0.00686 | 42.2source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 58.762 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.006857 \| USD \| per_test \| Lower is better \| \| `latency` \| 42.202 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider Xiaomi reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.57 pp sourcePopulation 91 stderr 5.566 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label xiaomi/mimo-v2.5 Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/xiaomi~1mimo-v2.5` | | | | | | | | 34 | [Gemini 2.5 Flash](https://benchize.com/models/gemini-2-5-flash.md) | 58.47% | SE ±5.54 pp | $0.00267 | 29.01source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 58.473 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.002669 \| USD \| per_test \| Lower is better \| \| `latency` \| 29.009 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider Google reasoning Not reported Reasoning effort unknown Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.54 pp sourcePopulation 91 stderr 5.535 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label google/gemini-2.5-flash Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/google~1gemini-2.5-flash` | | | | | | | | 35 | [MiMo-V2.6-Flash](https://benchize.com/models/mimo-v2-6-flash.md) | 55.99% | SE ±5.6 pp | $0.00778 | 136.89source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 55.986 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.007778 \| USD \| per_test \| Lower is better \| \| `latency` \| 136.886 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider Xiaomi reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.6 pp sourcePopulation 91 stderr 5.595 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label xiaomi/mimo-v2.6-flash Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/xiaomi~1mimo-v2.6-flash` | | | | | | | | 36 | [Gemini 2.5 Pro](https://benchize.com/models/gemini-2-5-pro.md) | 51.94% | SE ±5.61 pp | $0.00922 | 39.77source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 51.938 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.009215 \| USD \| per_test \| Lower is better \| \| `latency` \| 39.772 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider Google reasoning Not reported Reasoning effort unknown Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.61 pp sourcePopulation 91 stderr 5.612 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label google/gemini-2.5-pro Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/google~1gemini-2.5-pro` | | | | | | | | 37 | [Mistral Large 3 2512](https://benchize.com/models/mistral-large-2512.md) | 44.42% | SE ±5.58 pp | $0.00973 | 49.23source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 44.419 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.009728 \| USD \| per_test \| Lower is better \| \| `latency` \| 49.23 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider Mistral AI reasoning Not reported Reasoning effort unknown Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.58 pp sourcePopulation 91 stderr 5.581 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label mistralai/mistral-large-2512 Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/mistralai~1mistral-large-2512` | | | | | | | | 38 | [Gemini 2.5 Flash Lite Preview 09-2025](https://benchize.com/models/gemini-2-5-flash-lite-preview-09-2025.md) | 43.84% | SE ±5.57 pp | $0.00119 | 15.7source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 43.84 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.001188 \| USD \| per_test \| Lower is better \| \| `latency` \| 15.696 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider Google reasoning Not reported Reasoning effort unknown Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.57 pp sourcePopulation 91 stderr 5.573 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label google/gemini-2.5-flash-lite-preview-09-2025 Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/google~1gemini-2.5-flash-lite-preview-09-2025` | | | | | | | | 39 | [Gemini 3.8 Flash](https://benchize.com/models/gemini-3-8-flash-high.md)High | 41.7% | SE ±5.52 pp | $0.01 | 27.38source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 41.7 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.011572 \| USD \| per_test \| Lower is better \| \| `latency` \| 27.381 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider Google reasoning Not reported Reasoning effort high Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.52 pp sourcePopulation 91 stderr 5.515 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label google/gemini-3.8-flash Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/google~1gemini-3.8-flash` | | | | | | | | 40 | [Mistral Medium 3.5](https://benchize.com/models/mistral-medium-3-5-high.md)High | 41.41% | SE ±5.54 pp | $0.07 | 46.75source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 41.411 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.072413 \| USD \| per_test \| Lower is better \| \| `latency` \| 46.749 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider Mistral AI reasoning Not reported Reasoning effort high Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.54 pp sourcePopulation 91 stderr 5.535 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label mistralai/mistral-medium-3.5 Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/mistralai~1mistral-medium-3.5` | | | | | | | | 41 | [Gemini 2.5 Flash Lite](https://benchize.com/models/gemini-2-5-flash-lite.md) | 28.63% | SE ±5.08 pp | $0.000791 | 18.12source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 28.629 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.000791 \| USD \| per_test \| Lower is better \| \| `latency` \| 18.12 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider Google reasoning Not reported Reasoning effort unknown Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.08 pp sourcePopulation 91 stderr 5.077 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_sage.RRwIIzO5.json) Source Vals AI Original model label google/gemini-2.5-flash-lite Source version 1 Observed 2026-10-21T16:46:07.515Z Evidence SHA-256 `cc5fb3fecdb0382d492ff167a42ad84b9c5c3883373c78ed87baaa972b8b6f7c` Source locator `/tasks/linear_algebra/google~1gemini-2.5-flash-lite` | | | | | | | --- Cite as: SAGE / linear algebra — Benchize, https://benchize.com/benchmarks/vals-ai%3Asage%3Alinear_algebra (retrieved 2026-10-21)