# SWE-bench Multimodal / overall > Source: Benchize (https://benchize.com) — https://benchize.com/benchmarks/vals-ai%3Aswebench-multimodal%3Aoverall. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/benchmarks/vals-ai%3Aswebench-multimodal%3Aoverall. Resolving GitHub issues in JavaScript front-end repositories where the report is a screenshot as much as a description Canonical URL: https://benchize.com/benchmarks/vals-ai%3Aswebench-multimodal%3Aoverall Last updated: Wed, 21 Oct 2026 18:05:10 GMT Reproduction and quotation must name Benchize, link to the canonical HTML URL, and retain individual source citations. Resolving GitHub issues in JavaScript front-end repositories where the report is a screenshot as much as a description Multimodal · Models tested: 14 · Score publishers: Vals AI ## Model results | # | Model | Score | ± | Cost | Latency | | | --- | --- | --- | --- | --- | --- | --- | | 1 | [Claude Opus 5.5](https://benchize.com/models/claude-opus-5-5-max.md)Max | 70.21% | SE ±2.09 pp | $4.92 | 1,111.6source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 70.208 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 4.920591 \| USD \| per_test \| Lower is better \| \| `latency` \| 1111.602 \| 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: ±2.09 pp sourcePopulation 20 stderr 2.09 tokenTotals {"cache_read_tokens":3106799485,"cache_write_tokens":71481242,"input_tokens":3178343409,"output_tokens":38075346,"reasoning_tokens":28587621} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_swebench_multimodal.C7UOLrm7.json) Source Vals AI Original model label anthropic/claude-opus-5-5 Source version 1 Observed 2026-10-21T16:46:12.211Z Evidence SHA-256 `5302c42065b017d7deaa43d9e34be1ec69893b7ec4cceb6c07bfbabbd20b1f82` Source locator `/tasks/overall/anthropic~1claude-opus-5-5` | | | | | | | | 2 | [Claude Fable 5.1](https://benchize.com/models/claude-fable-5-1-max.md)Max | 61.25% | SE ±2.23 pp | $5.46 | 912.13source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 61.25 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 5.463719 \| USD \| per_test \| Lower is better \| \| `latency` \| 912.134 \| 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: ±2.23 pp sourcePopulation 20 stderr 2.226 tokenTotals {"cache_read_tokens":2150887536,"cache_write_tokens":55199879,"input_tokens":2206144347,"output_tokens":27943847,"reasoning_tokens":19675139} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_swebench_multimodal.C7UOLrm7.json) Source Vals AI Original model label anthropic/claude-fable-5-1 Source version 1 Observed 2026-10-21T16:46:12.211Z Evidence SHA-256 `5302c42065b017d7deaa43d9e34be1ec69893b7ec4cceb6c07bfbabbd20b1f82` Source locator `/tasks/overall/anthropic~1claude-fable-5-1` | | | | | | | | 3 | [Claude Sonnet 5.5](https://benchize.com/models/claude-sonnet-5-5-max.md)Max | 58.33% | SE ±2.25 pp | $4.53 | 1,452.55source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 58.333 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 4.528625 \| USD \| per_test \| Lower is better \| \| `latency` \| 1452.55 \| 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: ±2.25 pp sourcePopulation 20 stderr 2.253 tokenTotals {"cache_read_tokens":6097813282,"cache_write_tokens":111671460,"input_tokens":6209566764,"output_tokens":67483450,"reasoning_tokens":53457799} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_swebench_multimodal.C7UOLrm7.json) Source Vals AI Original model label anthropic/claude-sonnet-5-5 Source version 1 Observed 2026-10-21T16:46:12.211Z Evidence SHA-256 `5302c42065b017d7deaa43d9e34be1ec69893b7ec4cceb6c07bfbabbd20b1f82` Source locator `/tasks/overall/anthropic~1claude-sonnet-5-5` | | | | | | | | 4 | [Gemini 4 Argon](https://benchize.com/models/gemini-4-argon-high.md)High | 56.04% | SE ±2.27 pp | $11.4 | 2,017.53source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 56.042 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 11.397153 \| USD \| per_test \| Lower is better \| \| `latency` \| 2017.534 \| 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: ±2.27 pp sourcePopulation 20 stderr 2.268 tokenTotals {"cache_read_tokens":5745350936,"cache_write_tokens":null,"input_tokens":6541366791,"output_tokens":56305127,"reasoning_tokens":51883087} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_swebench_multimodal.C7UOLrm7.json) Source Vals AI Original model label google/gemini-4-argon Source version 1 Observed 2026-10-21T16:46:12.211Z Evidence SHA-256 `5302c42065b017d7deaa43d9e34be1ec69893b7ec4cceb6c07bfbabbd20b1f82` Source locator `/tasks/overall/google~1gemini-4-argon` | | | | | | | | 5 | [DeepSeek V4.1 Flash](https://benchize.com/models/deepseek-v4-1-flash-max.md)Max | 46.46% | SE ±2.28 pp | $0.23 | 1,164.34source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 46.458 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.225505 \| USD \| per_test \| Lower is better \| \| `latency` \| 1164.341 \| 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: ±2.28 pp sourcePopulation 20 stderr 2.279 tokenTotals {"cache_read_tokens":7079609940,"cache_write_tokens":null,"input_tokens":7132824792,"output_tokens":41500077,"reasoning_tokens":30954177} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_swebench_multimodal.C7UOLrm7.json) Source Vals AI Original model label deepseek/deepseek-v4.1-flash Source version 1 Observed 2026-10-21T16:46:12.211Z Evidence SHA-256 `5302c42065b017d7deaa43d9e34be1ec69893b7ec4cceb6c07bfbabbd20b1f82` Source locator `/tasks/overall/deepseek~1deepseek-v4.1-flash` | | | | | | | | 6 | [Muse Wonder](https://benchize.com/models/muse-wonder-max.md)Max | 45.63% | SE ±2.28 pp | $1.7 | 584.45source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 45.625 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.697976 \| USD \| per_test \| Lower is better \| \| `latency` \| 584.451 \| 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: ±2.28 pp sourcePopulation 20 stderr 2.276 tokenTotals {"cache_read_tokens":1725136932,"cache_write_tokens":0,"input_tokens":1771386813,"output_tokens":14250084,"reasoning_tokens":10027048} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_swebench_multimodal.C7UOLrm7.json) Source Vals AI Original model label meta/muse-wonder Source version 1 Observed 2026-10-21T16:46:12.211Z Evidence SHA-256 `5302c42065b017d7deaa43d9e34be1ec69893b7ec4cceb6c07bfbabbd20b1f82` Source locator `/tasks/overall/meta~1muse-wonder` | | | | | | | | 7 | [Claude Haiku 5.5](https://benchize.com/models/claude-haiku-5-5-max.md)Max | 43.96% | SE ±2.27 pp | $0.7 | 975.9source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 43.958 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.704848 \| USD \| per_test \| Lower is better \| \| `latency` \| 975.904 \| 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: ±2.27 pp sourcePopulation 20 stderr 2.268 tokenTotals {"cache_read_tokens":4549542924,"cache_write_tokens":93785405,"input_tokens":4643396325,"output_tokens":62236326,"reasoning_tokens":49493415} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_swebench_multimodal.C7UOLrm7.json) Source Vals AI Original model label anthropic/claude-haiku-5-5 Source version 1 Observed 2026-10-21T16:46:12.211Z Evidence SHA-256 `5302c42065b017d7deaa43d9e34be1ec69893b7ec4cceb6c07bfbabbd20b1f82` Source locator `/tasks/overall/anthropic~1claude-haiku-5-5` | | | | | | | | 8 | [GPT-6.1 Sol](https://benchize.com/models/gpt-6-1-sol-max.md)Max | 43.54% | SE ±2.27 pp | $0.35 | 415.53source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 43.542 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.35065 \| USD \| per_test \| Lower is better \| \| `latency` \| 415.53 \| 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: ±2.27 pp sourcePopulation 20 stderr 2.265 tokenTotals {"cache_read_tokens":218556086,"cache_write_tokens":23559495,"input_tokens":242137916,"output_tokens":8751306,"reasoning_tokens":4864804} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_swebench_multimodal.C7UOLrm7.json) Source Vals AI Original model label openai/gpt-6.1-sol Source version 1 Observed 2026-10-21T16:46:12.211Z Evidence SHA-256 `5302c42065b017d7deaa43d9e34be1ec69893b7ec4cceb6c07bfbabbd20b1f82` Source locator `/tasks/overall/openai~1gpt-6.1-sol` | | | | | | | | 9 | [GPT-6 Astra](https://benchize.com/models/gpt-6-astra-max.md)Max | 43.33% | SE ±2.26 pp | $1.81 | 423.27source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 43.333 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.80573 \| USD \| per_test \| Lower is better \| \| `latency` \| 423.272 \| 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: ±2.26 pp sourcePopulation 20 stderr 2.264 tokenTotals {"cache_read_tokens":200740149,"cache_write_tokens":22143289,"input_tokens":222905104,"output_tokens":7780051,"reasoning_tokens":4452235} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_swebench_multimodal.C7UOLrm7.json) Source Vals AI Original model label openai/gpt-6-astra Source version 1 Observed 2026-10-21T16:46:12.211Z Evidence SHA-256 `5302c42065b017d7deaa43d9e34be1ec69893b7ec4cceb6c07bfbabbd20b1f82` Source locator `/tasks/overall/openai~1gpt-6-astra` | | | | | | | | 10 | [MiMo-V2.6-Pro](https://benchize.com/models/mimo-v2-6-pro.md) | 41.25% | SE ±2.25 pp | $0.12 | 2,763.07source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 41.25 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.122089 \| USD \| per_test \| Lower is better \| \| `latency` \| 2763.074 \| 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: ±2.25 pp sourcePopulation 20 stderr 2.249 tokenTotals {"cache_read_tokens":1755109504,"cache_write_tokens":null,"input_tokens":1810237188,"output_tokens":32392842,"reasoning_tokens":27433951} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_swebench_multimodal.C7UOLrm7.json) Source Vals AI Original model label xiaomi/mimo-v2.6-pro Source version 1 Observed 2026-10-21T16:46:12.211Z Evidence SHA-256 `5302c42065b017d7deaa43d9e34be1ec69893b7ec4cceb6c07bfbabbd20b1f82` Source locator `/tasks/overall/xiaomi~1mimo-v2.6-pro` | | | | | | | | 11 | [Gemini 3.8 Flash](https://benchize.com/models/gemini-3-8-flash-high.md)High | 40.83% | SE ±2.25 pp | $3.69 | 1,338.3source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 40.833 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 3.688847 \| USD \| per_test \| Lower is better \| \| `latency` \| 1338.303 \| 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: ±2.25 pp sourcePopulation 20 stderr 2.246 tokenTotals {"cache_read_tokens":5816508549,"cache_write_tokens":null,"input_tokens":6218542064,"output_tokens":38857502,"reasoning_tokens":34183849} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_swebench_multimodal.C7UOLrm7.json) Source Vals AI Original model label google/gemini-3.8-flash Source version 1 Observed 2026-10-21T16:46:12.211Z Evidence SHA-256 `5302c42065b017d7deaa43d9e34be1ec69893b7ec4cceb6c07bfbabbd20b1f82` Source locator `/tasks/overall/google~1gemini-3.8-flash` | | | | | | | | 11 | [Step 5 Preview](https://benchize.com/models/step-5-preview.md) | 40.83% | SE ±2.25 pp | $0.61 | 1,565.64source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 40.833 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.614408 \| USD \| per_test \| Lower is better \| \| `latency` \| 1565.635 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 1024000 provider Stepfun reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±2.25 pp sourcePopulation 20 stderr 2.246 tokenTotals {"cache_read_tokens":2835132928,"cache_write_tokens":null,"input_tokens":2914876020,"output_tokens":27191106,"reasoning_tokens":0} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_swebench_multimodal.C7UOLrm7.json) Source Vals AI Original model label stepfun/step-5-preview Source version 1 Observed 2026-10-21T16:46:12.211Z Evidence SHA-256 `5302c42065b017d7deaa43d9e34be1ec69893b7ec4cceb6c07bfbabbd20b1f82` Source locator `/tasks/overall/stepfun~1step-5-preview` | | | | | | | | 13 | [GPT-6 Luna](https://benchize.com/models/gpt-6-luna-max.md)Max | 37.5% | SE ±2.21 pp | $0.03 | 315.87source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 37.5 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.03193 \| USD \| per_test \| Lower is better \| \| `latency` \| 315.874 \| 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: ±2.21 pp sourcePopulation 20 stderr 2.212 tokenTotals {"cache_read_tokens":493305377,"cache_write_tokens":30777074,"input_tokens":524114440,"output_tokens":13085746,"reasoning_tokens":9069944} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_swebench_multimodal.C7UOLrm7.json) Source Vals AI Original model label openai/gpt-6-luna Source version 1 Observed 2026-10-21T16:46:12.211Z Evidence SHA-256 `5302c42065b017d7deaa43d9e34be1ec69893b7ec4cceb6c07bfbabbd20b1f82` Source locator `/tasks/overall/openai~1gpt-6-luna` | | | | | | | | 14 | [MiniMax M3](https://benchize.com/models/minimax-m3.md) | 33.33% | SE ±2.15 pp | $1.02 | 789.22source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 33.333 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.015917 \| USD \| per_test \| Lower is better \| \| `latency` \| 789.218 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 512000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±2.15 pp sourcePopulation 20 stderr 2.154 tokenTotals {"cache_read_tokens":3533006831,"cache_write_tokens":0,"input_tokens":3573159075,"output_tokens":16495022,"reasoning_tokens":6340884} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_swebench_multimodal.C7UOLrm7.json) Source Vals AI Original model label minimax/MiniMax-M3 Source version 1 Observed 2026-10-21T16:46:12.211Z Evidence SHA-256 `5302c42065b017d7deaa43d9e34be1ec69893b7ec4cceb6c07bfbabbd20b1f82` Source locator `/tasks/overall/minimax~1MiniMax-M3` | | | | | | | --- Cite as: SWE-bench Multimodal / overall — Benchize, https://benchize.com/benchmarks/vals-ai%3Aswebench-multimodal%3Aoverall (retrieved 2026-10-21)