# Vals GPQA Diamond → HLE-Verified

Calibration · https://benchgap.net/calibration/1550 · data retrieved 2026-10-29

HLE-Verified is estimated from Vals GPQA Diamond with a offset logistic curve fitted on 6 models measured on both: y = 0.0000 + (0.5443 − 0.0000) / (1 + exp(−122.25·(x − 0.8867))), R² = 1.00, cross-validated error 4.6 pp. It is used for 10 estimates.

| Estimated model | Vals GPQA Diamond | HLE-Verified | Source |
|---|---|---|---|
| [Qwen3.8 Max](https://benchgap.net/model/qwen3-8-max.md) | 93.7% | 54.3% | estimated ± 4.6 pp, medium confidence |
| [Grok 4.20](https://benchgap.net/model/grok-4-20-beta.md) | 88.6% | 26.0% | estimated ± 4.6 pp, low confidence |
| [Gemini 3 Flash](https://benchgap.net/model/gemini-3-flash.md) | 87.9% | 15.3% | estimated ± 4.6 pp, low confidence |
| [GLM-5.3-Flash](https://benchgap.net/model/glm-5-3-flash.md) | 86.4% | 3.2% | estimated ± 4.6 pp, low confidence |
| [Nemotron 3 Ultra](https://benchgap.net/model/nemotron-3-ultra.md) | 86.1% | 2.3% | estimated ± 4.6 pp, low confidence |
| [Claude Sonnet 4.6](https://benchgap.net/model/claude-sonnet-4-6.md) | 85.6% | 1.2% | estimated ± 4.6 pp, low confidence |
| [Ling 3.0 Flash](https://benchgap.net/model/ling-3-0-flash.md) | 84.8% | 0.5% | estimated ± 4.6 pp, low confidence |
| [GLM-5.1](https://benchgap.net/model/glm-5-1.md) | 84.5% | 0.3% | estimated ± 4.6 pp, low confidence |
| [Gemini 3.5 Flash-Lite](https://benchgap.net/model/gemini-3-5-flash-lite.md) | 83.8% | 0.1% | estimated ± 4.6 pp, low confidence |
| [Qwen3.5 Flash](https://benchgap.net/model/qwen3-5-flash.md) | 82.8% | 0.0% | estimated ± 4.6 pp, low confidence |

## Fitted on

| Model | Vals GPQA Diamond | HLE-Verified |
|---|---|---|
| [Claude Opus 5](https://benchgap.net/model/claude-opus-5.md) | 93.4% | 54.4% |
| [Claude Sonnet 5](https://benchgap.net/model/claude-sonnet-5.md) | 88.9% | 31.0% |
| [Gemini 3.7 Flash](https://benchgap.net/model/gemini-3-7-flash.md) | 93.9% | 53.6% |
| [Gemini 3.8 Flash](https://benchgap.net/model/gemini-3-8-flash.md) | 94.4% | 54.9% |
| [GPT-5.6 Sol](https://benchgap.net/model/gpt-5-6-sol.md) | 95.2% | 54.5% |
| [GPT-5.6 Terra](https://benchgap.net/model/gpt-5-6-terra.md) | 90.9% | 51.1% |