benchgap
Calibration

Vals SWE-bench → DeepSWE

DeepSWE is estimated from Vals SWE-bench with a offset logistic curve fitted on 18 models measured on both: y = 0.5632 + (0.6782 − 0.5632) / (1 + exp(−200.00·(x − 0.9175))), R² = 0.43, cross-validated error 7.2 pp. It is used for 21 estimates.

Estimated modelVals SWE-benchDeepSWESource
Inkling-Small82.2%56.3%estimated ± 7.2 pp, low confidence
Composer 2.579.6%56.3%estimated ± 7.2 pp, low confidence
GPT-5.3 Codex78.0%56.3%estimated ± 7.2 pp, low confidence
Claude Sonnet 4.677.4%56.3%estimated ± 7.2 pp, low confidence
Gemini 3.5 Flash-Lite75.0%56.3%estimated ± 7.2 pp, low confidence
Gemini 3 Flash75.0%56.3%estimated ± 7.2 pp, low confidence
Claude Haiku 4.566.6%56.3%estimated ± 7.2 pp, low confidence
Gemini 3.1 Flash-Lite62.8%56.3%estimated ± 7.2 pp, low confidence
GLM-4.769.4%56.3%estimated ± 7.2 pp, low confidence
GPT-5.2-Codex72.4%56.3%estimated ± 7.2 pp, low confidence
Grok 4.2072.2%56.3%estimated ± 7.2 pp, low confidence
Grok 4.371.4%56.3%estimated ± 7.2 pp, low confidence
Ling 3.0 Flash65.2%56.3%estimated ± 7.2 pp, low confidence
MiMo-V2.571.0%56.3%estimated ± 7.2 pp, low confidence
MiniMax M2.773.8%56.3%estimated ± 7.2 pp, low confidence
Mistral Medium 3.5 128B66.4%56.3%estimated ± 7.2 pp, low confidence
Nemotron 3 Ultra69.0%56.3%estimated ± 7.2 pp, low confidence
Qwen3.5 Flash64.4%56.3%estimated ± 7.2 pp, low confidence
Qwen3.6-27B70.0%56.3%estimated ± 7.2 pp, low confidence
Qwen 3.6 Max (preview)72.8%56.3%estimated ± 7.2 pp, low confidence
Qwen3.6 Plus73.4%56.3%estimated ± 7.2 pp, low confidence

Fitted on

ModelVals SWE-benchDeepSWE
Claude Opus 597.0%68.8%
DeepSeek V4 Flash 073188.8%54.4%
DeepSeek V4 Pro 081396.4%62.7%
Gemini 3.6 Flash79.6%49.0%
Gemini 3.7 Flash80.8%65.3%
Gemini 3.8 Flash80.0%73.8%
GLM-5.395.4%66.9%
GLM-5.3-Flash92.0%63.4%
GPT-5.6 Luna93.0%67.2%
GPT-5.6 Sol96.2%72.7%
GPT-5.6 Terra95.4%69.6%
Grok 4.586.6%53.0%
Grok 4.695.6%65.9%
Kimi K393.4%67.5%
Muse Spark 1.182.0%53.3%
Muse Spark 1.286.6%59.3%
Qwen3.8-27B86.0%42.2%
Qwen3.8 Max85.6%56.6%