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Code Migration

Independent testVals AI · updated Oct 7, 2026

What it measures

Porting existing projects to another programming language, including COBOL modernisation.

How to read it

A good signal for legacy-modernisation work, where the spread between models is still very wide.

Open at Vals AI
Best
70.1%
Claude Sonnet 5.5
Median
43.2%
Grok 4.7

Results

26 of 41 tracked models have a result.

Filter in explorer
  1. 1
    Claude Sonnet 5.5

    Anthropic · Max effort

    70.1%
  2. 2
    Gemini 4 ArgonLimited

    Google DeepMind · High effort

    69.5%
  3. 3
    Claude Opus 5.5

    Anthropic · Max effort

    68.9%
  4. 4
    GPT-6 Astra

    OpenAI · Max effort

    68.5%
  5. 5
    GPT-6.1 Sol

    OpenAI · Max effort

    63.3%
  6. 6
    Claude Fable 5.1

    Anthropic · Max effort

    60.0%
  7. 7
    Muse Spark 1.3

    Meta · Max effort

    48.3%
  8. 8
    GPT-5.6 Terra

    OpenAI · Max effort

    48.3%
  9. 9
    DeepSeek V4.1 FlashOpen

    DeepSeek · High effort

    46.9%
  10. 10
    Hy4 previewOpen

    Tencent

    46.8%
  11. 11
    Claude Haiku 5.5

    Anthropic · Max effort

    45.9%
  12. 12
    GPT-6 Luna

    OpenAI · Max effort

    44.4%
  13. 13
    GLM-5.3Open

    Z.ai · Max effort

    43.2%
  14. 14
    Grok 4.7

    SpaceXAI · xHigh effort

    43.2%
  15. 15
    MiMo-V2.6-ProOpen

    Xiaomi

    42.3%
  16. 16
    DeepSeek V4 ProOpen

    DeepSeek · Max effort

    41.6%
  17. 17
    MiMo-V2.6-FlashOpen

    Xiaomi

    40.4%
  18. 18
    Step 5 Preview

    StepFun

    39.5%
  19. 19
    Gemini 3.8 Flash

    Google DeepMind · High effort

    31.6%
  20. 20
    Qwen3.8-Max

    Alibaba

    23.2%
  21. 21
    Mistral Large 4

    Mistral AI · High effort

    22.8%
  22. 22
    MiniMax-M3Open

    MiniMax

    20.9%
  23. 23
    Gemini 3.1 Pro

    Google DeepMind · High effort

    17.9%
  24. 24
    Kimi K3Open

    Moonshot AI · Max effort

    16.0%
  25. 25
    TM
    Inkling-SmallOpen

    Thinking Machines Lab

    13.3%
  26. 26
    TM
    InklingOpen

    Thinking Machines Lab

    11.8%
15 tracked models without a result

Command A+, Gemini 3.5 Flash-Lite, Gemma 4 31B, GLM-5.3-Flash, gpt-oss-120b, Hy3, Kimi K2.7 Code, MAI-Thinking-1, Mistral Medium 3.5, Mistral Small 4, Muse Glimmer 30B, Nemotron 3 Ultra, Nova 2 Lite, Qwen3.8-27B, Qwen3.8-Flash.

Missing means the evaluator has not published a run, not that the model would score poorly.

Model Index

An independent snapshot of frontier SI models and how they perform on third-party benchmarks.

Data as of Oct 8, 2026

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Sources

Benchmark results come from Artificial Analysis, Arena, Vals AI and ARC Prize. Specifications and prices come from each lab's own documentation.

Not affiliated with any lab or evaluator. Names and logos are trademarks of their respective owners and are used only to identify them. Scores change often — check the linked source before making a decision that depends on one.

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