# Toolathlon → AA Tau3 Banking

Calibration · https://benchgap.net/calibration/1513 · data retrieved 2026-10-29

AA Tau3 Banking is estimated from Toolathlon with a offset logistic curve fitted on 6 models measured on both: y = 0.3955 + (1.2000 − 0.3955) / (1 + exp(−200.00·(x − 0.5939))), R² = 0.96, cross-validated error 2.0 pp. It is used for 11 estimates.

| Estimated model | Toolathlon | AA Tau3 Banking | Source |
|---|---|---|---|
| [Claude Opus 4.8](https://benchgap.net/model/claude-opus-4-8.md) | 59.9% | 98.8% | estimated ± 2.0 pp, low confidence |
| [Gemini 3.5 Flash](https://benchgap.net/model/gemini-3-5-flash.md) | 56.5% | 39.8% | estimated ± 2.0 pp, medium confidence |
| [GPT-5.6 Luna](https://benchgap.net/model/gpt-5-6-luna.md) | 53.4% | 39.6% | estimated ± 2.0 pp, medium confidence |
| [Kimi K2.6](https://benchgap.net/model/kimi-2-6.md) | 50.0% | 39.6% | estimated ± 2.0 pp, medium confidence |
| [Step 3.7 Flash](https://benchgap.net/model/step-3-7-flash.md) | 49.5% | 39.6% | estimated ± 2.0 pp, medium confidence |
| [GLM-5.2](https://benchgap.net/model/glm-5-2.md) | 48.2% | 39.6% | estimated ± 2.0 pp, medium confidence |
| [MiniMax M2.7](https://benchgap.net/model/minimax-m2-7.md) | 46.3% | 39.6% | estimated ± 2.0 pp, low confidence |
| [Claude Opus 4.5](https://benchgap.net/model/claude-opus-4-5.md) | 43.5% | 39.6% | estimated ± 2.0 pp, low confidence |
| [GPT-5.4 mini](https://benchgap.net/model/gpt-5-4-mini.md) | 42.9% | 39.6% | estimated ± 2.0 pp, low confidence |
| [GLM-5](https://benchgap.net/model/glm-5.md) | 38.0% | 39.6% | estimated ± 2.0 pp, low confidence |
| [Qwen3.6 Plus](https://benchgap.net/model/qwen3-6-plus.md) | 39.8% | 39.6% | estimated ± 2.0 pp, low confidence |

## Fitted on

| Model | Toolathlon | AA Tau3 Banking |
|---|---|---|
| [DeepSeek V4 Flash 0731](https://benchgap.net/model/deepseek-v4-flash-0731.md) | 47.8% | 39.4% |
| [DeepSeek V4 Pro 0813](https://benchgap.net/model/deepseek-v4-pro-0813.md) | 51.8% | 39.6% |
| [GPT-5.4](https://benchgap.net/model/gpt-5-4.md) | 54.6% | 39.6% |
| [GPT-5.5](https://benchgap.net/model/gpt-5-5.md) | 55.6% | 39.0% |
| [GPT-5.6 Sol](https://benchgap.net/model/gpt-5-6-sol.md) | 58.0% | 44.3% |
| [GPT-5.6 Terra](https://benchgap.net/model/gpt-5-6-terra.md) | 53.1% | 40.2% |