benchgap
Calibration

SWE-bench Verified → Vals SWE-bench

Vals SWE-bench is estimated from SWE-bench Verified with a linear curve fitted on 24 models measured on both: y = 1.3755·x + -0.3368, R² = 0.69, cross-validated error 6.8 pp. It is used for 48 estimates.

Estimated modelSWE-bench VerifiedVals SWE-benchSource
Claude Mythos 595.5%97.7%estimated ± 6.8 pp, medium confidence
Ember-192.2%93.1%estimated ± 6.8 pp, medium confidence
BTL-478.4%74.2%estimated ± 6.8 pp, medium confidence
MiMo-V2-Pro78.0%73.6%estimated ± 6.8 pp, medium confidence
Claude Sonnet 4.577.2%72.5%estimated ± 6.8 pp, medium confidence
MiMo-V2-Omni74.8%69.2%estimated ± 6.8 pp, medium confidence
Claude 4.1 Opus74.5%68.8%estimated ± 6.8 pp, medium confidence
Step 3.5 Flash74.4%68.7%estimated ± 6.8 pp, medium confidence
Flint74.2%68.4%estimated ± 6.8 pp, medium confidence
MAI-Thinking-173.5%67.4%estimated ± 6.8 pp, medium confidence
Jais-3-MoVA-36B-A4B72.8%66.5%estimated ± 6.8 pp, medium confidence
Claude 4 Sonnet72.7%66.3%estimated ± 6.8 pp, medium confidence
MAI-Code-1.1-Flash72.6%66.2%estimated ± 6.8 pp, medium confidence
Claude 4 Opus72.5%66.0%estimated ± 6.8 pp, medium confidence
Jais-3-32B72.4%65.9%estimated ± 6.8 pp, medium confidence
Qwen3.5-27B72.4%65.9%estimated ± 6.8 pp, medium confidence
Nemotron 3.5 Super VL 120B A12B71.1%64.1%estimated ± 6.8 pp, medium confidence
Nemotron 3.5 Super VL 120B A12B NVFP471.1%64.1%estimated ± 6.8 pp, medium confidence
Laguna XS 2.170.9%63.8%estimated ± 6.8 pp, medium confidence
Grok Code Fast 170.8%63.7%estimated ± 6.8 pp, medium confidence
Solar Pro 470.6%63.4%estimated ± 6.8 pp, medium confidence
Solar Open 270.4%63.2%estimated ± 6.8 pp, medium confidence
Jais-3-375B-A23B70.2%62.9%estimated ± 6.8 pp, medium confidence
Jais-3-7B70.2%62.9%estimated ± 6.8 pp, medium confidence
Qwen3-Coder 480B-A35B69.6%62.1%estimated ± 6.8 pp, medium confidence
Qwen3.5-35B-A3B69.2%61.5%estimated ± 6.8 pp, medium confidence
LongCat-Flash-Lite-Sparse68.2%60.1%estimated ± 6.8 pp, medium confidence
DeepSeek V3.166.0%57.1%estimated ± 6.8 pp, medium confidence
Kimi K265.8%56.8%estimated ± 6.8 pp, medium confidence
Claude 3.7 Sonnet62.3%52.0%estimated ± 6.8 pp, low confidence
Ternary Bonsai 2 27B60.8%50.0%estimated ± 6.8 pp, low confidence
Nemotron 3 Super 100B60.5%49.5%estimated ± 6.8 pp, low confidence
GLM-4.7-Flash59.2%47.8%estimated ± 6.8 pp, low confidence
DeepSeek-R1-052857.6%45.6%estimated ± 6.8 pp, low confidence
MiniMax M1 80k56.0%43.4%estimated ± 6.8 pp, low confidence
GPT-4.154.6%41.4%estimated ± 6.8 pp, low confidence
ZAYA1-74B-Preview53.2%39.5%estimated ± 6.8 pp, low confidence
o3-mini49.3%34.1%estimated ± 6.8 pp, low confidence
LLaDA2.2-flash49.3%34.1%estimated ± 6.8 pp, low confidence
DeepSeek-R149.2%34.0%estimated ± 6.8 pp, low confidence
Claude 3.5 Sonnet49.0%33.7%estimated ± 6.8 pp, low confidence
Mellum2.1-12B-A2.5B-Thinking47.0%31.0%estimated ± 6.8 pp, low confidence
Devstral Small46.8%30.7%estimated ± 6.8 pp, low confidence
MiniCPM5-2B46.4%30.1%estimated ± 6.8 pp, low confidence
Sarvam 105B45.0%28.2%estimated ± 6.8 pp, low confidence
LFM3-1.7B43.4%26.0%estimated ± 6.8 pp, low confidence
Claude 3.5 Haiku40.6%22.2%estimated ± 6.8 pp, low confidence
Sarvam 30B34.0%13.1%estimated ± 6.8 pp, low confidence

Fitted on

ModelSWE-bench VerifiedVals SWE-bench
Claude Fable 595.0%95.0%
Claude Haiku 4.573.3%66.6%
Claude Opus 4.888.6%88.6%
Claude Opus 596.0%97.0%
Claude Sonnet 4.679.6%77.4%
Claude Sonnet 585.2%79.6%
DeepSeek V4 Flash 073179.0%88.8%
DeepSeek V4 Pro 081380.6%96.4%
Gemini 2.5 Pro63.8%54.4%
GLM-4.773.8%69.4%
GPT-5.3 Codex85.0%78.0%
Grok 4.2076.7%72.2%
Inkling77.6%77.6%
Inkling-Small80.2%82.2%
Kimi K2.680.2%76.2%
Laguna M.174.6%57.6%
Laguna XS.269.9%55.2%
MiniMax M380.5%75.0%
Mistral Medium 3.5 128B77.6%66.4%
Muse Spark77.4%74.4%
Nemotron 3 Ultra71.9%69.0%
Qwen3.6-27B77.2%70.0%
Qwen3.6 Plus78.8%73.4%
Qwen3.7 Max80.4%68.8%