# τ²-bench results → BFCL v4

Calibration · https://benchgap.net/calibration/1491 · data retrieved 2026-10-29

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 model | τ²-bench results | BFCL v4 | Source |
|---|---|---|---|
| [GLM-5-Turbo](https://benchgap.net/model/glm-5-turbo.md) | 98.5% | 70.6% | estimated ± 8.5 pp, low confidence |
| [GLM-5V-Turbo](https://benchgap.net/model/glm-5v-turbo.md) | 98.5% | 70.6% | estimated ± 8.5 pp, low confidence |
| [Qwen 3.6 Max (preview)](https://benchgap.net/model/qwen3-6-max-preview.md) | 95.9% | 69.4% | estimated ± 8.5 pp, low confidence |
| [Qwen3.5 397B (Reasoning)](https://benchgap.net/model/qwen3-5-397b-reasoning.md) | 95.6% | 69.2% | estimated ± 8.5 pp, low confidence |
| [MiMo-V2-Pro](https://benchgap.net/model/mimo-v2-pro.md) | 95.0% | 68.9% | estimated ± 8.5 pp, low confidence |
| [Qwen3.5-27B](https://benchgap.net/model/qwen3-5-27b.md) | 93.9% | 68.4% | estimated ± 8.5 pp, low confidence |
| [Grok 4.1 Fast (Reasoning)](https://benchgap.net/model/grok-4-1-fast-reasoning.md) | 93.3% | 68.1% | estimated ± 8.5 pp, low confidence |
| [Claude Opus 4.6 (Adaptive)](https://benchgap.net/model/claude-opus-4-6-thinking.md) | 92.1% | 67.5% | estimated ± 8.5 pp, low confidence |
| [GPT-5.2-Codex](https://benchgap.net/model/gpt-5-2-codex.md) | 92.1% | 67.5% | estimated ± 8.5 pp, low confidence |
| [Qwen3.5-4B](https://benchgap.net/model/qwen3-5-4b.md) | 92.1% | 67.5% | estimated ± 8.5 pp, low confidence |
| [MiMo-V2-Omni](https://benchgap.net/model/mimo-v2-omni.md) | 91.2% | 67.1% | estimated ± 8.5 pp, low confidence |
| [Claude Opus 4.5 Thinking](https://benchgap.net/model/claude-opus-4-5-thinking.md) | 89.5% | 66.3% | estimated ± 8.5 pp, low confidence |
| [Qwen3.5-35B-A3B](https://benchgap.net/model/qwen3-5-35b-a3b.md) | 89.2% | 66.1% | estimated ± 8.5 pp, low confidence |
| [Gemini 3 Pro](https://benchgap.net/model/gemini-3-pro.md) | 87.1% | 65.1% | estimated ± 8.5 pp, low confidence |
| [GPT-5 (medium)](https://benchgap.net/model/gpt-5-medium.md) | 86.5% | 64.8% | estimated ± 8.5 pp, low confidence |
| [GPT-5.3 Codex](https://benchgap.net/model/gpt-5-3-codex.md) | 86.0% | 64.5% | estimated ± 8.5 pp, low confidence |
| [Claude Opus 4.6](https://benchgap.net/model/claude-opus-4-6.md) | 84.8% | 63.9% | estimated ± 8.5 pp, low confidence |
| [GPT-5.2](https://benchgap.net/model/gpt-5-2.md) | 84.8% | 63.9% | estimated ± 8.5 pp, low confidence |
| [GPT-5.1-Codex](https://benchgap.net/model/gpt-5-1-codex.md) | 83.0% | 63.0% | estimated ± 8.5 pp, low confidence |
| [GPT-5.1-Codex-Max](https://benchgap.net/model/gpt-5-1-codex-max.md) | 83.0% | 63.0% | estimated ± 8.5 pp, low confidence |
| [o3](https://benchgap.net/model/o3.md) | 80.7% | 61.8% | estimated ± 8.5 pp, low confidence |
| [Ternary Bonsai 2 27B](https://benchgap.net/model/ternary-bonsai-2-27b.md) | 80.2% | 61.5% | estimated ± 8.5 pp, low confidence |
| [Claude Sonnet 4.6](https://benchgap.net/model/claude-sonnet-4-6.md) | 79.5% | 61.1% | estimated ± 8.5 pp, low confidence |
| [DeepSeek V3.2](https://benchgap.net/model/deepseek-v3-2.md) | 78.9% | 60.8% | estimated ± 8.5 pp, low confidence |
| [Agents-A1-4B](https://benchgap.net/model/agents-a1-4b.md) | 78.2% | 60.4% | estimated ± 8.5 pp, low confidence |
| [GLM-4.6](https://benchgap.net/model/glm-4-6.md) | 76.9% | 59.7% | estimated ± 8.5 pp, low confidence |
| [Grok Code Fast 1](https://benchgap.net/model/grok-code-fast-1.md) | 75.7% | 59.1% | estimated ± 8.5 pp, low confidence |
| [Grok 4](https://benchgap.net/model/grok-4.md) | 74.9% | 58.6% | estimated ± 8.5 pp, low confidence |
| [Qwen3 Max](https://benchgap.net/model/qwen3-max.md) | 74.3% | 58.3% | estimated ± 8.5 pp, low confidence |
| [Claude Opus 4.7](https://benchgap.net/model/claude-opus-4-7.md) | 74.0% | 58.1% | estimated ± 8.5 pp, low confidence |
| [Claude 4 Opus Thinking](https://benchgap.net/model/claude-4-opus-thinking.md) | 73.4% | 57.8% | estimated ± 8.5 pp, low confidence |
| [Claude 4.1 Opus Thinking](https://benchgap.net/model/claude-4-1-opus-thinking.md) | 71.4% | 56.7% | estimated ± 8.5 pp, low confidence |
| [Grok 4 Fast (Reasoning)](https://benchgap.net/model/grok-4-fast-reasoning.md) | 65.8% | 53.4% | estimated ± 8.5 pp, low confidence |
| [Grok 4.1 Fast](https://benchgap.net/model/grok-4-1-fast.md) | 63.7% | 52.1% | estimated ± 8.5 pp, low confidence |
| [o1](https://benchgap.net/model/o1.md) | 62.6% | 51.5% | estimated ± 8.5 pp, low confidence |
| [Kimi K2](https://benchgap.net/model/kimi-k2.md) | 61.1% | 50.6% | estimated ± 8.5 pp, low confidence |
| [o4-mini](https://benchgap.net/model/o4-mini.md) | 55.6% | 47.1% | estimated ± 8.5 pp, low confidence |
| [Nemotron 3.5 Bolt E4B BF16](https://benchgap.net/model/nemotron-3-5-bolt-e4b-bf16.md) | 55.1% | 46.7% | estimated ± 8.5 pp, low confidence |
| [Claude 3.7 Sonnet Thinking](https://benchgap.net/model/claude-3-7-sonnet-thinking.md) | 54.7% | 46.5% | estimated ± 8.5 pp, low confidence |
| [Nemotron 3.5 Bolt E4B](https://benchgap.net/model/nemotron-3-5-bolt-e4b.md) | 52.3% | 44.9% | estimated ± 8.5 pp, low confidence |
| [Claude 4 Sonnet](https://benchgap.net/model/claude-4-sonnet.md) | 52.3% | 44.9% | estimated ± 8.5 pp, low confidence |
| [Claude 3.7 Sonnet](https://benchgap.net/model/claude-3-7-sonnet.md) | 50.0% | 43.4% | estimated ± 8.5 pp, low confidence |
| [GPT-4.1](https://benchgap.net/model/gpt-4-1.md) | 47.1% | 41.4% | estimated ± 8.5 pp, low confidence |
| [Sarvam 105B](https://benchgap.net/model/sarvam-105b.md) | 46.8% | 41.2% | estimated ± 8.5 pp, low confidence |
| [GLM-4.5-Air](https://benchgap.net/model/glm-4-5-air.md) | 46.5% | 40.9% | estimated ± 8.5 pp, low confidence |
| [Gemini 3 Flash](https://benchgap.net/model/gemini-3-flash.md) | 43.3% | 38.7% | estimated ± 8.5 pp, low confidence |
| [DeepSeek V3.1 (Reasoning)](https://benchgap.net/model/deepseek-v3-1-reasoning.md) | 37.4% | 34.3% | estimated ± 8.5 pp, low confidence |
| [DeepSeek-R1](https://benchgap.net/model/deepseek-r1.md) | 36.5% | 33.6% | estimated ± 8.5 pp, low confidence |
| [DeepSeek V3.1](https://benchgap.net/model/deepseek-v3-1.md) | 34.8% | 32.3% | estimated ± 8.5 pp, low confidence |
| [Sarvam 30B](https://benchgap.net/model/sarvam-30b.md) | 34.5% | 32.1% | estimated ± 8.5 pp, low confidence |
| [Solar Pro 2](https://benchgap.net/model/solar-pro-2.md) | 31.9% | 30.0% | estimated ± 8.5 pp, low confidence |
| [Mistral Large 2](https://benchgap.net/model/mistral-large-2.md) | 30.7% | 29.1% | estimated ± 8.5 pp, low confidence |
| [Gemini 2.0 Flash](https://benchgap.net/model/gemini-2-0-flash.md) | 29.5% | 28.1% | estimated ± 8.5 pp, low confidence |
| [o3-mini](https://benchgap.net/model/o3-mini.md) | 28.7% | 27.4% | estimated ± 8.5 pp, low confidence |
| [Devstral Small](https://benchgap.net/model/devstral-small.md) | 28.4% | 27.2% | estimated ± 8.5 pp, low confidence |
| [Magistral Small](https://benchgap.net/model/magistral-small.md) | 26.6% | 25.7% | estimated ± 8.5 pp, low confidence |
| [Mistral Medium 3](https://benchgap.net/model/mistral-medium-3.md) | 24.3% | 23.7% | estimated ± 8.5 pp, low confidence |
| [Magistral Medium](https://benchgap.net/model/magistral-medium.md) | 23.1% | 22.7% | estimated ± 8.5 pp, low confidence |
| [Llama 3.1 70B](https://benchgap.net/model/llama-3-1-70b.md) | 21.6% | 21.4% | estimated ± 8.5 pp, low confidence |
| [Qwen3-Omni-30B-A3B-Thinking](https://benchgap.net/model/qwen3-omni-30b-a3b-thinking.md) | 21.3% | 21.1% | estimated ± 8.5 pp, low confidence |
| [Claude 3 Haiku](https://benchgap.net/model/claude-3-haiku.md) | 21.1% | 20.9% | estimated ± 8.5 pp, low confidence |
| [Exaone 4.0 1.2B](https://benchgap.net/model/exaone-4-0-1-2b.md) | 20.5% | 20.4% | estimated ± 8.5 pp, low confidence |
| [Granite-4.0-H-1B](https://benchgap.net/model/granite-4-0-h-1b.md) | 19.6% | 19.6% | estimated ± 8.5 pp, low confidence |

## Fitted on

| Model | τ²-bench results | BFCL v4 |
|---|---|---|
| [Kimi K2.5](https://benchgap.net/model/kimi-k2-5.md) | 95.9% | 68.3% |
| [LFM2.5-8B-A1B](https://benchgap.net/model/lfm2-5-8b-a1b.md) | 88.1% | 49.7% |
| [LLaDA2.2-flash](https://benchgap.net/model/llada2-2-flash.md) | 80.3% | 60.8% |
| [LLaDA2.2-mini](https://benchgap.net/model/llada2-2-mini.md) | 57.5% | 47.7% |
| [Qwen3.7 Max](https://benchgap.net/model/qwen3-7-max.md) | 94.7% | 75.0% |
| [Qwen3.7 Plus](https://benchgap.net/model/qwen3-7-plus.md) | 93.0% | 72.9% |
| [Spark-X2.6-4B](https://benchgap.net/model/spark-x2-6-4b.md) | 86.9% | 71.8% |