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SWE-bench Multimodal (Vals AI) leaderboard

Claude Opus 5.5 leads
70.2%
models measured
18
lead over #2
+9.0 pts
median
43.4%

Leader on SWE-bench Multimodal (Vals AI) · read October 21

swe_bench_multimodal_vals_ai.py


        # SWE-bench Multimodal (Vals AI), read October 21
        leaders = {
            "Claude Opus 5.5": 70.2%,    "Claude Fable 5.1": 61.3%,    "Claude Sonnet 5.5": 58.3%,
        }
      

On October 21, 2026, 18 of our catalog's models had a SWE-bench Multimodal (Vals AI) result, and Anthropic Claude Opus 5.5 led with 70.2%, ahead of Anthropic Claude Fable 5.1 at 61.3%.

GitHub issues from visual software, such as front-end and charting libraries, where the issue comes with screenshots. Run by Vals AI. Share resolved.

Role in the index

A coding board we show beside the Vibe Coding Index, not inside it: the index keeps the six boards it was defined on, so a score does not move every time a board is added. Read the methodology

18 models with a result

Original board: Vals AI boards
SWE-bench Multimodal (Vals AI) results for models in the catalog
# Model Result Cost per test Duration, as printed Evidence Coding index Output $/Mtok
1 Claude Opus 5.5Anthropic 70.2% $4.92 18m 32s 88.8 $20.00
2 Claude Fable 5.1Anthropic 61.3% $5.46 15m 12s 84.2 $50.00
3 Claude Sonnet 5.5Anthropic 58.3% $4.53 24m 13s 87.3 $10.00
4 Gemini 4 ArgonGoogle 56.0% $11.40 33m 38s 81.0 $10.00
5 DeepSeek V4.1 FlashDeepSeek 46.5% $0.23 19m 24s 62.5 $0.78
6 Muse WonderMeta 45.6% $1.70 9m 44s 71.9 $20.00
7 Kimi K3Moonshot AI 44.2% $1.65 22m 45s 62.3 $15.00
8 Claude Haiku 5.5Anthropic 44.0% $0.70 16m 16s 70.7 $0.50
9 GPT-6.1 SolOpenAI 43.5% $0.35 6m 56s 82.4 $10.00
10 GPT-6 AstraOpenAI 43.3% $1.81 7m 03s 85.1 $50.00
11 Grok 4.7xAI 42.9% $4.66 21m 01s 66.7 $6.00
12 Qwen3.8 Max (0902)Qwen 42.5% $0.99 18m 44s 62.4 $6.00
13 MiMo-V2.6-ProXiaomi 41.3% $0.12 46m 03s 65.4 $0.87
14 Gemini 3.8 FlashGoogle 40.8% $3.69 22m 18s 61.6 $3.75
15 Step 5 PreviewStepFun 40.8% $0.61 26m 06s 61.1 $2.70
16 GPT-6 LunaOpenAI 37.5% $0.03 5m 16s 57.3 $0.50
17 MiniMax M3MiniMax 33.3% $1.02 13m 09s 39.2 $1.20
18 Mistral Large 4Mistral AI 33.1% $5.14 27m 27s 56.4 $4.18

Only models in our catalog are listed, and each appears once with its best published run. 136 rows were read from the source on October 21, 2026, and rows that match no catalog model are left out. Cost per test is what Vals AI reports one test cost on the run behind the result, in US dollars. Every other column is a figure the board publishes for the same run.