# Vals GPQA Diamond → HLE w/o tools

Calibration · https://benchgap.net/calibration/1549 · data retrieved 2026-10-29

HLE w/o tools is estimated from Vals GPQA Diamond with a offset logistic curve fitted on 19 models measured on both: y = 0.3058 + (0.4920 − 0.3058) / (1 + exp(−200.00·(x − 0.8931))), R² = 0.69, cross-validated error 6.6 pp. It is used for 0 estimates.

## Fitted on

| Model | Vals GPQA Diamond | HLE w/o tools |
|---|---|---|
| [Claude Fable 5.1](https://benchgap.net/model/claude-fable-5-1.md) | 93.4% | 60.9% |
| [Claude Opus 4.8](https://benchgap.net/model/claude-opus-4-8.md) | 92.4% | 49.8% |
| [Claude Opus 5](https://benchgap.net/model/claude-opus-5.md) | 93.4% | 56.3% |
| [Claude Sonnet 5](https://benchgap.net/model/claude-sonnet-5.md) | 88.9% | 43.2% |
| [Gemini 3.1 Pro](https://benchgap.net/model/gemini-3-1-pro.md) | 95.5% | 45.4% |
| [GLM-5.2](https://benchgap.net/model/glm-5-2.md) | 85.6% | 40.5% |
| [GPT-5.4 mini](https://benchgap.net/model/gpt-5-4-mini.md) | 83.1% | 28.2% |
| [GPT-5.4 nano](https://benchgap.net/model/gpt-5-4-nano.md) | 77.5% | 24.3% |
| [GPT-5.5](https://benchgap.net/model/gpt-5-5.md) | 93.2% | 41.4% |
| [Grok 4.20](https://benchgap.net/model/grok-4-20-beta.md) | 88.6% | 31.6% |
| [Inkling](https://benchgap.net/model/inkling.md) | 87.1% | 30.0% |
| [Inkling-Small](https://benchgap.net/model/inkling-small.md) | 83.6% | 31.6% |
| [Kimi K3](https://benchgap.net/model/kimi-k3.md) | 92.9% | 43.5% |
| [MiMo-V2.5-Pro](https://benchgap.net/model/mimo-v2-5-pro.md) | 82.6% | 34.0% |
| [Muse Spark](https://benchgap.net/model/muse-spark.md) | 89.6% | 42.8% |
| [Muse Spark 1.1](https://benchgap.net/model/muse-spark-1-1.md) | 91.2% | 52.2% |
| [Nemotron 3 Ultra](https://benchgap.net/model/nemotron-3-ultra.md) | 86.1% | 26.7% |
| [Qwen3.8-27B](https://benchgap.net/model/qwen3-8-27b.md) | 88.9% | 30.8% |
| [Qwen3.8 Max](https://benchgap.net/model/qwen3-8-max.md) | 93.7% | 43.6% |