benchgap
Calibration

τ²-bench results → GDPval-AA

GDPval-AA is estimated from τ²-bench results with a Hill curve fitted on 68 models measured on both: y = 0.0000 + (1.2000 − 0.0000)·x^5.38 / (1.17736^5.38 + x^5.38), R² = 0.57, cross-validated error 10.9 pp. It is used for 53 estimates.

Estimated modelτ²-bench resultsGDPval-AASource
GLM-5-Turbo98.5%33.2%estimated ± 10.9 pp, low confidence
Qwen 3.6 Max (preview)95.9%29.9%estimated ± 10.9 pp, low confidence
Qwen3.5 397B (Reasoning)95.6%29.5%estimated ± 10.9 pp, low confidence
Grok 4.1 Fast (Reasoning)93.3%26.7%estimated ± 10.9 pp, low confidence
Claude Opus 4.6 (Adaptive)92.1%25.3%estimated ± 10.9 pp, low confidence
Qwen3.5-4B92.1%25.3%estimated ± 10.9 pp, low confidence
MiMo-V2-Omni91.2%24.2%estimated ± 10.9 pp, low confidence
Claude Opus 4.5 Thinking89.5%22.3%estimated ± 10.9 pp, low confidence
GPT-5 (medium)86.5%19.2%estimated ± 10.9 pp, low confidence
GPT-5.1-Codex-Max83.0%15.9%estimated ± 10.9 pp, low confidence
o380.7%13.9%estimated ± 10.9 pp, low confidence
Ternary Bonsai 2 27B80.2%13.5%estimated ± 10.9 pp, low confidence
GLM-4.676.9%11.0%estimated ± 10.9 pp, low confidence
Grok Code Fast 175.7%10.2%estimated ± 10.9 pp, low confidence
Claude 4 Opus Thinking73.4%8.7%estimated ± 10.9 pp, low confidence
Claude 4.1 Opus Thinking71.4%7.6%estimated ± 10.9 pp, low confidence
Grok 4 Fast (Reasoning)65.8%5.0%estimated ± 10.9 pp, low confidence
o162.6%3.9%estimated ± 10.9 pp, low confidence
Kimi K261.1%3.4%estimated ± 10.9 pp, low confidence
o4-mini55.6%2.1%estimated ± 10.9 pp, low confidence
Nemotron 3.5 Bolt E4B BF1655.1%2.0%estimated ± 10.9 pp, low confidence
Claude 3.7 Sonnet Thinking54.7%1.9%estimated ± 10.9 pp, low confidence
Nemotron 3.5 Bolt E4B52.3%1.5%estimated ± 10.9 pp, low confidence
Claude 3.7 Sonnet50.0%1.2%estimated ± 10.9 pp, low confidence
GLM-4.5-Air46.5%0.8%estimated ± 10.9 pp, low confidence
DeepSeek V3.1 (Reasoning)37.4%0.2%estimated ± 10.9 pp, low confidence
DeepSeek-R136.5%0.2%estimated ± 10.9 pp, low confidence
DeepSeek V3.134.8%0.2%estimated ± 10.9 pp, low confidence
Solar Pro 231.9%0.1%estimated ± 10.9 pp, low confidence
Mistral Large 230.7%0.1%estimated ± 10.9 pp, low confidence
Gemini 2.0 Flash29.5%0.1%estimated ± 10.9 pp, low confidence
o3-mini28.7%0.1%estimated ± 10.9 pp, low confidence
Devstral Small28.4%0.1%estimated ± 10.9 pp, low confidence
Magistral Small26.6%0.0%estimated ± 10.9 pp, low confidence
Mistral Medium 324.3%0.0%estimated ± 10.9 pp, low confidence
Magistral Medium23.1%0.0%estimated ± 10.9 pp, low confidence
Llama 3.1 70B21.6%0.0%estimated ± 10.9 pp, low confidence
Qwen3-Omni-30B-A3B-Thinking21.3%0.0%estimated ± 10.9 pp, low confidence
Claude 3 Haiku21.1%0.0%estimated ± 10.9 pp, low confidence
Exaone 4.0 1.2B20.5%0.0%estimated ± 10.9 pp, low confidence
Granite-4.0-H-1B19.6%0.0%estimated ± 10.9 pp, low confidence
Gemini 2.5 Flash-Lite19.0%0.0%estimated ± 10.9 pp, low confidence
Llama 3.1 405B19.0%0.0%estimated ± 10.9 pp, low confidence
Qwen3-Omni-30B-A3B-Instruct16.4%0.0%estimated ± 10.9 pp, low confidence
Gemini 2.5 Flash14.9%0.0%estimated ± 10.9 pp, low confidence
Granite-4.0-H-350M14.6%0.0%estimated ± 10.9 pp, low confidence
Nova Pro14.0%0.0%estimated ± 10.9 pp, low confidence
Granite-4.0-350M13.2%0.0%estimated ± 10.9 pp, low confidence
Nemotron Ultra 253B11.4%0.0%estimated ± 10.9 pp, low confidence
LFM2.5-VL-1.6B-Extract8.5%0.0%estimated ± 10.9 pp, low confidence
Exaone 4.0 32B4.1%0.0%estimated ± 10.9 pp, low confidence
Phi-40.0%0.0%estimated ± 10.9 pp, low confidence
Phi-4-reasoning0.0%0.0%estimated ± 10.9 pp, low confidence

Fitted on

Modelτ²-bench resultsGDPval-AA
Claude 3.5 Haiku24.6%0.0%
Claude Fable 598.5%55.5%
Claude Opus 4.7 (Adaptive)88.6%42.6%
Claude Opus 4.894.4%47.7%
Command A+85.0%0.7%
DeepSeek V322.8%0.0%
DeepSeek V3 032447.1%0.0%
DeepSeek V4 Pro 081396.2%54.5%
Gemini 2.5 Pro54.1%0.0%
Gemini 3.1 Pro95.6%14.6%
Gemini 3.5 Flash95.3%42.2%
Gemma 3 27B10.5%0.0%
Gemma 4 12B36.3%0.0%
Gemma 4 26B A4B43.6%3.2%
Gemma 4 31B59.9%5.9%
Gemma 4 E2B20.8%0.0%
Gemma 4 E4B20.8%0.0%
GLM-4.795.9%25.7%
GLM-5.197.7%30.8%
GLM-5.299.1%43.6%
GPT-4.1 mini52.9%0.0%
GPT-4.1 nano17.3%0.0%
GPT-4o25.1%0.0%
GPT-5.181.9%16.3%
GPT-5.498.9%37.3%
GPT-5.4 mini93.4%25.6%
GPT-5.4 nano92.5%22.4%
GPT-5.598.0%42.5%
GPT-5.6 Sol85.1%55.4%
GPT-5.6 Terra86.3%47.6%
GPT-5 (high)84.8%20.9%
GPT-OSS 120B65.8%5.4%
GPT-OSS 20B60.2%0.0%
Grok 4.397.7%29.2%
K-Exaone74.3%0.0%
Kimi K2.695.9%26.9%
Kimi K2.595.9%17.0%
Kimi K2.5 (Reasoning)95.9%17.0%
Kimi K2.7 Code90.1%26.9%
Ling 2.6 Flash86.0%0.0%
Llama 3.3 70B26.6%0.0%
Llama 4 Maverick17.8%0.0%
Llama 4 Scout15.5%0.0%
MiMo-V2.5-Pro94.2%31.0%
MiMo-V2-Flash83.9%6.4%
MiniMax M2.784.8%25.5%
MiniMax M388.9%37.1%
Mistral Large 324.6%0.0%
Mistral Medium 3.5 128B94.2%13.0%
Mistral Small 3.125.1%0.0%
Mistral Small 441.2%0.0%
Mistral Small 4 (Reasoning)18.4%0.0%
Muse Spark91.5%24.9%
Nemotron 3 Nano 30B25.4%0.0%
Nemotron 3 Nano Omni 30B A3B45.3%0.0%
Nemotron 3 Ultra83.3%33.1%
North Mini Code37.4%0.0%
Qwen3.5-122B-A10B93.6%15.7%
Qwen3.6-27B94.2%24.3%
Qwen3.6-35B-A3B95.3%19.6%
Qwen3.6 Plus97.7%24.5%
Qwen3.7 Max94.7%31.4%
Qwen3.7 Plus93.0%13.3%
Solar Pro 386.3%0.0%
Step 3.7 Flash98.5%25.8%
Trinity-Large-Preview90.1%0.0%
Trinity-Large-Thinking90.1%0.0%
Ultravox v0.6 Llama 3.3 70B26.6%0.0%