benchgap
Calibration

τ²-bench results → BFCL v4

BFCL v4 is estimated from τ²-bench results with a Michaelis–Menten curve fitted on 7 models measured on both: y = 2.0000·x / (1.80631 + x), R² = 0.52, cross-validated error 8.5 pp. It is used for 63 estimates.

Estimated modelτ²-bench resultsBFCL v4Source
GLM-5-Turbo98.5%70.6%estimated ± 8.5 pp, low confidence
GLM-5V-Turbo98.5%70.6%estimated ± 8.5 pp, low confidence
Qwen 3.6 Max (preview)95.9%69.4%estimated ± 8.5 pp, low confidence
Qwen3.5 397B (Reasoning)95.6%69.2%estimated ± 8.5 pp, low confidence
MiMo-V2-Pro95.0%68.9%estimated ± 8.5 pp, low confidence
Qwen3.5-27B93.9%68.4%estimated ± 8.5 pp, low confidence
Grok 4.1 Fast (Reasoning)93.3%68.1%estimated ± 8.5 pp, low confidence
Claude Opus 4.6 (Adaptive)92.1%67.5%estimated ± 8.5 pp, low confidence
GPT-5.2-Codex92.1%67.5%estimated ± 8.5 pp, low confidence
Qwen3.5-4B92.1%67.5%estimated ± 8.5 pp, low confidence
MiMo-V2-Omni91.2%67.1%estimated ± 8.5 pp, low confidence
Claude Opus 4.5 Thinking89.5%66.3%estimated ± 8.5 pp, low confidence
Qwen3.5-35B-A3B89.2%66.1%estimated ± 8.5 pp, low confidence
Gemini 3 Pro87.1%65.1%estimated ± 8.5 pp, low confidence
GPT-5 (medium)86.5%64.8%estimated ± 8.5 pp, low confidence
GPT-5.3 Codex86.0%64.5%estimated ± 8.5 pp, low confidence
Claude Opus 4.684.8%63.9%estimated ± 8.5 pp, low confidence
GPT-5.284.8%63.9%estimated ± 8.5 pp, low confidence
GPT-5.1-Codex83.0%63.0%estimated ± 8.5 pp, low confidence
GPT-5.1-Codex-Max83.0%63.0%estimated ± 8.5 pp, low confidence
o380.7%61.8%estimated ± 8.5 pp, low confidence
Ternary Bonsai 2 27B80.2%61.5%estimated ± 8.5 pp, low confidence
Claude Sonnet 4.679.5%61.1%estimated ± 8.5 pp, low confidence
DeepSeek V3.278.9%60.8%estimated ± 8.5 pp, low confidence
Agents-A1-4B78.2%60.4%estimated ± 8.5 pp, low confidence
GLM-4.676.9%59.7%estimated ± 8.5 pp, low confidence
Grok Code Fast 175.7%59.1%estimated ± 8.5 pp, low confidence
Grok 474.9%58.6%estimated ± 8.5 pp, low confidence
Qwen3 Max74.3%58.3%estimated ± 8.5 pp, low confidence
Claude Opus 4.774.0%58.1%estimated ± 8.5 pp, low confidence
Claude 4 Opus Thinking73.4%57.8%estimated ± 8.5 pp, low confidence
Claude 4.1 Opus Thinking71.4%56.7%estimated ± 8.5 pp, low confidence
Grok 4 Fast (Reasoning)65.8%53.4%estimated ± 8.5 pp, low confidence
Grok 4.1 Fast63.7%52.1%estimated ± 8.5 pp, low confidence
o162.6%51.5%estimated ± 8.5 pp, low confidence
Kimi K261.1%50.6%estimated ± 8.5 pp, low confidence
o4-mini55.6%47.1%estimated ± 8.5 pp, low confidence
Nemotron 3.5 Bolt E4B BF1655.1%46.7%estimated ± 8.5 pp, low confidence
Claude 3.7 Sonnet Thinking54.7%46.5%estimated ± 8.5 pp, low confidence
Nemotron 3.5 Bolt E4B52.3%44.9%estimated ± 8.5 pp, low confidence
Claude 4 Sonnet52.3%44.9%estimated ± 8.5 pp, low confidence
Claude 3.7 Sonnet50.0%43.4%estimated ± 8.5 pp, low confidence
GPT-4.147.1%41.4%estimated ± 8.5 pp, low confidence
Sarvam 105B46.8%41.2%estimated ± 8.5 pp, low confidence
GLM-4.5-Air46.5%40.9%estimated ± 8.5 pp, low confidence
Gemini 3 Flash43.3%38.7%estimated ± 8.5 pp, low confidence
DeepSeek V3.1 (Reasoning)37.4%34.3%estimated ± 8.5 pp, low confidence
DeepSeek-R136.5%33.6%estimated ± 8.5 pp, low confidence
DeepSeek V3.134.8%32.3%estimated ± 8.5 pp, low confidence
Sarvam 30B34.5%32.1%estimated ± 8.5 pp, low confidence
Solar Pro 231.9%30.0%estimated ± 8.5 pp, low confidence
Mistral Large 230.7%29.1%estimated ± 8.5 pp, low confidence
Gemini 2.0 Flash29.5%28.1%estimated ± 8.5 pp, low confidence
o3-mini28.7%27.4%estimated ± 8.5 pp, low confidence
Devstral Small28.4%27.2%estimated ± 8.5 pp, low confidence
Magistral Small26.6%25.7%estimated ± 8.5 pp, low confidence
Mistral Medium 324.3%23.7%estimated ± 8.5 pp, low confidence
Magistral Medium23.1%22.7%estimated ± 8.5 pp, low confidence
Llama 3.1 70B21.6%21.4%estimated ± 8.5 pp, low confidence
Qwen3-Omni-30B-A3B-Thinking21.3%21.1%estimated ± 8.5 pp, low confidence
Claude 3 Haiku21.1%20.9%estimated ± 8.5 pp, low confidence
Exaone 4.0 1.2B20.5%20.4%estimated ± 8.5 pp, low confidence
Granite-4.0-H-1B19.6%19.6%estimated ± 8.5 pp, low confidence

Fitted on

Modelτ²-bench resultsBFCL v4
Kimi K2.595.9%68.3%
LFM2.5-8B-A1B88.1%49.7%
LLaDA2.2-flash80.3%60.8%
LLaDA2.2-mini57.5%47.7%
Qwen3.7 Max94.7%75.0%
Qwen3.7 Plus93.0%72.9%
Spark-X2.6-4B86.9%71.8%