benchgap
Calibration

τ²-bench results → BFCL v4

BFCL v4 is estimated from τ²-bench results with a Hill curve fitted on 5 models measured on both: y = 0.4492 + (1.2000 − 0.4492)·x^6.00 / (1.05991^6.00 + x^6.00), R² = 0.61, cross-validated error 9.8 pp. It is used for 53 estimates.

Estimated modelτ²-bench resultsBFCL v4Source
Agents-A1-4B78.2%55.3%estimated ± 9.8 pp, low confidence
Claude 3 Haiku21.1%44.9%estimated ± 9.8 pp, low confidence
Claude 4.1 Opus Thinking71.4%51.3%estimated ± 9.8 pp, low confidence
Claude 4 Sonnet52.3%46.0%estimated ± 9.8 pp, low confidence
Claude Opus 4.5 Thinking89.5%64.9%estimated ± 9.8 pp, low confidence
Claude Opus 4.6 (Adaptive)92.1%67.5%estimated ± 9.8 pp, low confidence
Claude Opus 4.774.0%52.7%estimated ± 9.8 pp, low confidence
DeepSeek-R136.5%45.0%estimated ± 9.8 pp, low confidence
DeepSeek V3.134.8%45.0%estimated ± 9.8 pp, low confidence
DeepSeek V3.1 (Reasoning)37.4%45.1%estimated ± 9.8 pp, low confidence
Exaone 4.0 1.2B20.5%44.9%estimated ± 9.8 pp, low confidence
Exaone 4.0 32B4.1%44.9%estimated ± 9.8 pp, low confidence
Gemini 2.5 Flash14.9%44.9%estimated ± 9.8 pp, low confidence
Gemini 3 Pro87.1%62.6%estimated ± 9.8 pp, low confidence
GLM-4.5-Air46.5%45.5%estimated ± 9.8 pp, low confidence
GLM-4.676.9%54.5%estimated ± 9.8 pp, low confidence
GPT-4.147.1%45.5%estimated ± 9.8 pp, low confidence
GPT-5.1-Codex83.0%59.0%estimated ± 9.8 pp, low confidence
GPT-5.1-Codex-Max83.0%59.0%estimated ± 9.8 pp, low confidence
GPT-5.284.8%60.5%estimated ± 9.8 pp, low confidence
GPT-5.2-Codex92.1%67.5%estimated ± 9.8 pp, low confidence
GPT-5.3 Codex86.0%61.6%estimated ± 9.8 pp, low confidence
GPT-5 (medium)86.5%62.0%estimated ± 9.8 pp, low confidence
Granite-4.0-350M13.2%44.9%estimated ± 9.8 pp, low confidence
Granite-4.0-H-1B19.6%44.9%estimated ± 9.8 pp, low confidence
Granite-4.0-H-350M14.6%44.9%estimated ± 9.8 pp, low confidence
Grok 474.9%53.2%estimated ± 9.8 pp, low confidence
Grok 4.1 Fast63.7%48.3%estimated ± 9.8 pp, low confidence
Grok 4.1 Fast (Reasoning)93.3%68.8%estimated ± 9.8 pp, low confidence
Grok 4 Fast (Reasoning)65.8%49.0%estimated ± 9.8 pp, low confidence
Grok Code Fast 175.7%53.7%estimated ± 9.8 pp, low confidence
Kimi K261.1%47.6%estimated ± 9.8 pp, low confidence
LFM2.5-VL-1.6B-Extract8.5%44.9%estimated ± 9.8 pp, low confidence
Llama 3.1 405B19.0%44.9%estimated ± 9.8 pp, low confidence
Mistral Large 230.7%45.0%estimated ± 9.8 pp, low confidence
Mistral Medium 324.3%44.9%estimated ± 9.8 pp, low confidence
Nemotron Ultra 253B11.4%44.9%estimated ± 9.8 pp, low confidence
Nova Pro14.0%44.9%estimated ± 9.8 pp, low confidence
o162.6%48.0%estimated ± 9.8 pp, low confidence
o380.7%57.2%estimated ± 9.8 pp, low confidence
o3-mini28.7%44.9%estimated ± 9.8 pp, low confidence
Phi-40.0%44.9%estimated ± 9.8 pp, low confidence
Qwen3.5-27B93.9%69.4%estimated ± 9.8 pp, low confidence
Qwen3.5-35B-A3B89.2%64.6%estimated ± 9.8 pp, low confidence
Qwen3.5 397B (Reasoning)83.9%59.7%estimated ± 9.8 pp, low confidence
Qwen 3.6 Max (preview)95.9%71.5%estimated ± 9.8 pp, low confidence
Qwen3 Max74.3%52.9%estimated ± 9.8 pp, low confidence
Qwen3-Omni-30B-A3B-Instruct16.4%44.9%estimated ± 9.8 pp, low confidence
Qwen3-Omni-30B-A3B-Thinking21.3%44.9%estimated ± 9.8 pp, low confidence
Sarvam 105B46.8%45.5%estimated ± 9.8 pp, low confidence
Sarvam 30B34.5%45.0%estimated ± 9.8 pp, low confidence
Solar Pro 231.9%45.0%estimated ± 9.8 pp, low confidence
Ternary Bonsai 2 27B80.2%56.8%estimated ± 9.8 pp, low confidence