# Toolathlon-Verified → DeepsecBench-AA

Calibration · https://benchgap.net/calibration/1529 · data retrieved 2026-10-29

DeepsecBench-AA is estimated from Toolathlon-Verified with a Hill curve fitted on 8 models measured on both: y = 0.0000 + (0.6294 − 0.0000)·x^6.00 / (0.84970^6.00 + x^6.00), R² = 0.35, cross-validated error 5.2 pp. It is used for 9 estimates.

| Estimated model | Toolathlon-Verified | DeepsecBench-AA | Source |
|---|---|---|---|
| [Claude Sonnet 5.5](https://benchgap.net/model/claude-sonnet-5-5.md) | 77.8% | 23.3% | estimated ± 5.2 pp, low confidence |
| [DeepSeek V4 Pro 0813](https://benchgap.net/model/deepseek-v4-pro-0813.md) | 74.1% | 19.2% | estimated ± 5.2 pp, low confidence |
| [Hy4 preview](https://benchgap.net/model/hy4-preview.md) | 74.1% | 19.2% | estimated ± 5.2 pp, low confidence |
| [MiMo-V2.6-Flash](https://benchgap.net/model/mimo-v2-6-flash.md) | 73.6% | 18.7% | estimated ± 5.2 pp, low confidence |
| [Qwen3.8-Flash-Next](https://benchgap.net/model/qwen3-8-flash-next.md) | 73.5% | 18.6% | estimated ± 5.2 pp, low confidence |
| [Muse Spark Open](https://benchgap.net/model/muse-spark-open.md) | 72.8% | 17.8% | estimated ± 5.2 pp, low confidence |
| [Qwen3.8 Max](https://benchgap.net/model/qwen3-8-max.md) | 72.5% | 17.5% | estimated ± 5.2 pp, low confidence |
| [Ornith-1.5-397B](https://benchgap.net/model/ornith-1-5-397b.md) | 71.2% | 16.2% | estimated ± 5.2 pp, low confidence |
| [DeepSeek V4 Flash 0731](https://benchgap.net/model/deepseek-v4-flash-0731.md) | 70.3% | 15.3% | estimated ± 5.2 pp, low confidence |

## Fitted on

| Model | Toolathlon-Verified | DeepsecBench-AA |
|---|---|---|
| [Claude Fable 5.1](https://benchgap.net/model/claude-fable-5-1.md) | 77.8% | 23.5% |
| [Claude Opus 5](https://benchgap.net/model/claude-opus-5.md) | 80.6% | 25.9% |
| [Claude Opus 5.5](https://benchgap.net/model/claude-opus-5-5.md) | 77.8% | 26.9% |
| [GLM-5.3](https://benchgap.net/model/glm-5-3.md) | 73.0% | 24.3% |
| [GLM-5.3-Flash](https://benchgap.net/model/glm-5-3-flash.md) | 78.4% | 19.9% |
| [Kimi K3](https://benchgap.net/model/kimi-k3.md) | 73.2% | 12.5% |
| [MiMo-V2.6-Pro](https://benchgap.net/model/mimo-v2-6-pro.md) | 76.9% | 26.2% |
| [Step 5 Preview](https://benchgap.net/model/step-5-preview.md) | 74.1% | 15.8% |