# Vals Index / overall > Source: Benchize (https://benchize.com) — https://benchize.com/benchmarks/vals-ai%3Avals_index%3Aoverall. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/benchmarks/vals-ai%3Avals_index%3Aoverall. A single measure of AI's potential economic impact — agentic model performance across finance, coding, legal, and tax tasks, weighted by each sector's share of U.S. GDP. Canonical URL: https://benchize.com/benchmarks/vals-ai%3Avals_index%3Aoverall 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. A single measure of AI's potential economic impact — agentic model performance across finance, coding, legal, and tax tasks, weighted by each sector's share of U.S. GDP. Composite indexes · Models tested: 14 · Score publishers: Vals AI ## Model results | # | Model | Score | ± | Cost | Latency | | | --- | --- | --- | --- | --- | --- | --- | | 1 | [Claude Sonnet 5.5](https://benchize.com/models/claude-sonnet-5-5-max.md)Max | 70.85% | SE ±0.93 pp | $18.7 | 5,158.77source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 70.854 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 18.69955 \| USD \| per_test \| Lower is better \| \| `latency` \| 5158.766 \| 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: ±0.93 pp sourcePopulation 23 stderr 0.928 tokenTotals {"cache_read_tokens":43320518175,"cache_write_tokens":1766865965,"input_tokens":45087854954,"output_tokens":654942865,"reasoning_tokens":510663474} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label anthropic/claude-sonnet-5-5 Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/overall/anthropic~1claude-sonnet-5-5` | | | | | | | | 2 | [Claude Opus 5.5](https://benchize.com/models/claude-opus-5-5-max.md)Max | 70.18% | SE ±1 pp | $28.12 | 5,071.09source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 70.177 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 28.122421 \| USD \| per_test \| Lower is better \| \| `latency` \| 5071.089 \| 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: ±1 pp sourcePopulation 23 stderr 1.004 tokenTotals {"cache_read_tokens":30671467913,"cache_write_tokens":1290041704,"input_tokens":31961837560,"output_tokens":499754233,"reasoning_tokens":381319414} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label anthropic/claude-opus-5-5 Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/overall/anthropic~1claude-opus-5-5` | | | | | | | | 3 | [Gemini 4 Argon](https://benchize.com/models/gemini-4-argon-high.md)High | 69.24% | SE ±1.09 pp | $13.37 | 2,697.95source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 69.237 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 13.372731 \| USD \| per_test \| Lower is better \| \| `latency` \| 2697.953 \| 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: ±1.09 pp sourcePopulation 23 stderr 1.09 tokenTotals {"cache_read_tokens":12071919973,"cache_write_tokens":null,"input_tokens":13360828360,"output_tokens":146167290,"reasoning_tokens":59887853} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label google/gemini-4-argon Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/overall/google~1gemini-4-argon` | | | | | | | | 4 | [GPT-6 Astra](https://benchize.com/models/gpt-6-astra-max.md)Max | 65.02% | SE ±1.1 pp | $21.28 | 2,018.88source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 65.023 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 21.277828 \| USD \| per_test \| Lower is better \| \| `latency` \| 2018.879 \| 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: ±1.1 pp sourcePopulation 23 stderr 1.098 tokenTotals {"cache_read_tokens":4484842803,"cache_write_tokens":null,"input_tokens":4924948729,"output_tokens":96766878,"reasoning_tokens":59928445} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label openai/gpt-6-astra Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/overall/openai~1gpt-6-astra` | | | | | | | | 5 | [Muse Wonder](https://benchize.com/models/muse-wonder-max.md)Max | 64.88% | SE ±1.07 pp | $10.65 | 2,123.58source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 64.877 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 10.647504 \| USD \| per_test \| Lower is better \| \| `latency` \| 2123.575 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131072 provider Meta reasoning Not reported Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.07 pp sourcePopulation 23 stderr 1.067 tokenTotals {"cache_read_tokens":17645554776,"cache_write_tokens":0,"input_tokens":18224226557,"output_tokens":97195877,"reasoning_tokens":52653929} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label meta/muse-wonder Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/overall/meta~1muse-wonder` | | | | | | | | 6 | [GPT-6.1 Sol](https://benchize.com/models/gpt-6-1-sol-max.md)Max | 63.94% | SE ±1.07 pp | $3.61 | 2,664.03source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 63.944 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 3.614054 \| USD \| per_test \| Lower is better \| \| `latency` \| 2664.03 \| 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: ±1.07 pp sourcePopulation 23 stderr 1.072 tokenTotals {"cache_read_tokens":5078686427,"cache_write_tokens":406706672,"input_tokens":5486504345,"output_tokens":103203979,"reasoning_tokens":64580497} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label openai/gpt-6.1-sol Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/overall/openai~1gpt-6.1-sol` | | | | | | | | 7 | [DeepSeek V4.1 Flash 1017](https://benchize.com/models/deepseek-v4-1-flash-1017-max.md)Max | 61.26% | SE ±1.06 pp | $0.66 | 2,394.71source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 61.257 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.65747 \| USD \| per_test \| Lower is better \| \| `latency` \| 2394.709 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 384000 provider DeepSeek reasoning Not reported Reasoning effort max Temperature 1 topP 1 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.06 pp sourcePopulation 23 stderr 1.055 tokenTotals {"cache_read_tokens":26546819188,"cache_write_tokens":null,"input_tokens":27106524900,"output_tokens":324131672,"reasoning_tokens":251666265} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label deepseek/deepseek-v4.1-flash-1017 Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/overall/deepseek~1deepseek-v4.1-flash-1017` | | | | | | | | 8 | [Claude Haiku 5.5](https://benchize.com/models/claude-haiku-5-5-max.md)Max | 58.71% | SE ±1.28 pp | $3.17 | 2,988.33source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 58.708 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 3.173012 \| USD \| per_test \| Lower is better \| \| `latency` \| 2988.332 \| 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: ±1.28 pp sourcePopulation 23 stderr 1.282 tokenTotals {"cache_read_tokens":21612053476,"cache_write_tokens":1458667521,"input_tokens":23071048400,"output_tokens":765852692,"reasoning_tokens":673025505} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label anthropic/claude-haiku-5-5 Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/overall/anthropic~1claude-haiku-5-5` | | | | | | | | 9 | [MiMo-V2.6-Pro](https://benchize.com/models/mimo-v2-6-pro.md) | 57.81% | SE ±1.24 pp | $0.43 | 4,355.89source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 57.813 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.434692 \| USD \| per_test \| Lower is better \| \| `latency` \| 4355.892 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 128000 provider Xiaomi reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.24 pp sourcePopulation 23 stderr 1.24 tokenTotals {"cache_read_tokens":9118039253,"cache_write_tokens":null,"input_tokens":9589713675,"output_tokens":116021012,"reasoning_tokens":76814385} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label xiaomi/mimo-v2.6-pro Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/overall/xiaomi~1mimo-v2.6-pro` | | | | | | | | 10 | [Gemini 3.8 Flash](https://benchize.com/models/gemini-3-8-flash-high.md)High | 55.95% | SE ±1.14 pp | $6.06 | 2,158.48source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 55.951 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 6.064799 \| USD \| per_test \| Lower is better \| \| `latency` \| 2158.482 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 65536 provider Google reasoning Not reported Reasoning effort high Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.14 pp sourcePopulation 23 stderr 1.141 tokenTotals {"cache_read_tokens":14301116094,"cache_write_tokens":null,"input_tokens":15367814865,"output_tokens":117528442,"reasoning_tokens":68777600} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label google/gemini-3.8-flash Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/overall/google~1gemini-3.8-flash` | | | | | | | | 11 | [MiMo-V2.6-Flash](https://benchize.com/models/mimo-v2-6-flash.md) | 54.83% | SE ±1.11 pp | $0.22 | 4,027.98source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 54.826 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.221566 \| USD \| per_test \| Lower is better \| \| `latency` \| 4027.975 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 128000 provider Xiaomi reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.11 pp sourcePopulation 23 stderr 1.114 tokenTotals {"cache_read_tokens":13658045739,"cache_write_tokens":null,"input_tokens":14242629902,"output_tokens":130885725,"reasoning_tokens":79837760} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label xiaomi/mimo-v2.6-flash Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/overall/xiaomi~1mimo-v2.6-flash` | | | | | | | | 12 | [MiniMax M3.1 Flash](https://benchize.com/models/minimax-m3-1-flash-max.md)Max | 53.78% | SE ±1.07 pp | $0.66 | 2,597.84source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 53.781 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.659684 \| USD \| per_test \| Lower is better \| \| `latency` \| 2597.835 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 262144 provider MiniMax reasoning Not reported Reasoning effort max Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.07 pp sourcePopulation 23 stderr 1.067 tokenTotals {"cache_read_tokens":17662797762,"cache_write_tokens":0,"input_tokens":18180722777,"output_tokens":306409526,"reasoning_tokens":243120444} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label minimax/MiniMax-M3.1-flash Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/overall/minimax~1MiniMax-M3.1-flash` | | | | | | | | 13 | [DeepSeek V4 Pro 0813](https://benchize.com/models/deepseek-v4-pro-0813-max.md)Max | 52.97% | SE ±1.04 pp | $2.5 | 3,482.91source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 52.974 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 2.499691 \| USD \| per_test \| Lower is better \| \| `latency` \| 3482.913 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 384000 provider DeepSeek reasoning Not reported Reasoning effort max Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.04 pp sourcePopulation 23 stderr 1.044 tokenTotals {"cache_read_tokens":21810722517,"cache_write_tokens":null,"input_tokens":22172718464,"output_tokens":154910470,"reasoning_tokens":106624381} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label deepseek/deepseek-v4-pro-0813 Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/overall/deepseek~1deepseek-v4-pro-0813` | | | | | | | | 14 | [GPT-6 Luna](https://benchize.com/models/gpt-6-luna-max.md)Max | 52.32% | SE ±1.12 pp | $0.45 | 1,943.19source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 52.322 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.450147 \| USD \| per_test \| Lower is better \| \| `latency` \| 1943.192 \| 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: ±1.12 pp sourcePopulation 23 stderr 1.117 tokenTotals {"cache_read_tokens":9525013908,"cache_write_tokens":525731464,"input_tokens":10052286779,"output_tokens":202172287,"reasoning_tokens":167716705} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label openai/gpt-6-luna Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/overall/openai~1gpt-6-luna` | | | | | | | --- Cite as: Vals Index / overall — Benchize, https://benchize.com/benchmarks/vals-ai%3Avals_index%3Aoverall (retrieved 2026-10-21)