# Vals LiveCodeBench → LiveCodeBench v6

Calibration · https://benchgap.net/calibration/1579 · data retrieved 2026-10-29

LiveCodeBench v6 is estimated from Vals LiveCodeBench with a Michaelis–Menten + offset curve fitted on 6 models measured on both: y = 0.0000 + 2.0000·x / (1.06966 + x), R² = 0.41, cross-validated error 2.4 pp. It is used for 38 estimates.

| Estimated model | Vals LiveCodeBench | LiveCodeBench v6 | Source |
|---|---|---|---|
| [Claude Fable 5.1](https://benchgap.net/model/claude-fable-5-1.md) | 90.5% | 91.7% | estimated ± 2.4 pp, low confidence |
| [Claude Fable 5](https://benchgap.net/model/claude-fable.md) | 89.8% | 91.3% | estimated ± 2.4 pp, low confidence |
| [Gemini 3.8 Flash](https://benchgap.net/model/gemini-3-8-flash.md) | 89.5% | 91.1% | estimated ± 2.4 pp, low confidence |
| [Claude Opus 5](https://benchgap.net/model/claude-opus-5.md) | 89.0% | 90.8% | estimated ± 2.4 pp, low confidence |
| [Gemini 3.7 Flash](https://benchgap.net/model/gemini-3-7-flash.md) | 88.7% | 90.7% | estimated ± 2.4 pp, low confidence |
| [Gemini 3.1 Pro](https://benchgap.net/model/gemini-3-1-pro.md) | 88.5% | 90.6% | estimated ± 2.4 pp, low confidence |
| [Grok 4.6](https://benchgap.net/model/grok-4-6.md) | 88.2% | 90.4% | estimated ± 2.4 pp, low confidence |
| [Gemini 3.6 Flash](https://benchgap.net/model/gemini-3-6-flash.md) | 88.1% | 90.3% | estimated ± 2.4 pp, low confidence |
| [GPT-5.2-Codex](https://benchgap.net/model/gpt-5-2-codex.md) | 88.0% | 90.3% | estimated ± 2.4 pp, low confidence |
| [Claude Opus 4.8](https://benchgap.net/model/claude-opus-4-8.md) | 87.8% | 90.2% | estimated ± 2.4 pp, low confidence |
| [Gemini 3.5 Flash](https://benchgap.net/model/gemini-3-5-flash.md) | 87.6% | 90.0% | estimated ± 2.4 pp, low confidence |
| [Grok 4.5](https://benchgap.net/model/grok-4-5.md) | 87.4% | 89.9% | estimated ± 2.4 pp, low confidence |
| [GPT-5.3 Codex](https://benchgap.net/model/gpt-5-3-codex.md) | 87.3% | 89.9% | estimated ± 2.4 pp, low confidence |
| [Kimi K3](https://benchgap.net/model/kimi-k3.md) | 87.2% | 89.8% | estimated ± 2.4 pp, low confidence |
| [GPT-5.6 Terra](https://benchgap.net/model/gpt-5-6-terra.md) | 85.9% | 89.1% | estimated ± 2.4 pp, low confidence |
| [Inkling-Small](https://benchgap.net/model/inkling-small.md) | 85.9% | 89.1% | estimated ± 2.4 pp, low confidence |
| [Muse Spark 1.1](https://benchgap.net/model/muse-spark-1-1.md) | 85.9% | 89.1% | estimated ± 2.4 pp, low confidence |
| [Gemini 3 Flash](https://benchgap.net/model/gemini-3-flash.md) | 85.6% | 88.9% | estimated ± 2.4 pp, low confidence |
| [GPT-5.1-Codex](https://benchgap.net/model/gpt-5-1-codex.md) | 85.6% | 88.9% | estimated ± 2.4 pp, low confidence |
| [Inkling](https://benchgap.net/model/inkling.md) | 85.5% | 88.8% | estimated ± 2.4 pp, low confidence |
| [GPT-5.5](https://benchgap.net/model/gpt-5-5.md) | 85.3% | 88.7% | estimated ± 2.4 pp, low confidence |
| [Claude Opus 4.7](https://benchgap.net/model/claude-opus-4-7.md) | 85.1% | 88.6% | estimated ± 2.4 pp, low confidence |
| [Grok 4.3](https://benchgap.net/model/grok-4-3.md) | 84.5% | 88.3% | estimated ± 2.4 pp, low confidence |
| [Grok 4.20](https://benchgap.net/model/grok-4-20-beta.md) | 84.3% | 88.1% | estimated ± 2.4 pp, low confidence |
| [GPT-5.4 nano](https://benchgap.net/model/gpt-5-4-nano.md) | 84.0% | 88.0% | estimated ± 2.4 pp, low confidence |
| [Ling 3.0 Flash](https://benchgap.net/model/ling-3-0-flash.md) | 84.0% | 88.0% | estimated ± 2.4 pp, low confidence |
| [GPT-5.1-Codex-Max](https://benchgap.net/model/gpt-5-1-codex-max.md) | 83.6% | 87.7% | estimated ± 2.4 pp, low confidence |
| [Qwen3.5 Flash](https://benchgap.net/model/qwen3-5-flash.md) | 83.3% | 87.6% | estimated ± 2.4 pp, low confidence |
| [GPT-5.6 Sol](https://benchgap.net/model/gpt-5-6-sol.md) | 82.6% | 87.1% | estimated ± 2.4 pp, low confidence |
| [Claude Sonnet 5](https://benchgap.net/model/claude-sonnet-5.md) | 82.4% | 87.0% | estimated ± 2.4 pp, low confidence |
| [Claude Sonnet 4.6](https://benchgap.net/model/claude-sonnet-4-6.md) | 82.1% | 86.8% | estimated ± 2.4 pp, low confidence |
| [Kimi K2.7 Code](https://benchgap.net/model/kimi-k2-7-code.md) | 82.1% | 86.8% | estimated ± 2.4 pp, low confidence |
| [GPT-5.4 mini](https://benchgap.net/model/gpt-5-4-mini.md) | 81.5% | 86.5% | estimated ± 2.4 pp, low confidence |
| [MiMo-V2.5](https://benchgap.net/model/mimo-v2-5.md) | 81.5% | 86.5% | estimated ± 2.4 pp, low confidence |
| [MiMo-V2.5-Pro](https://benchgap.net/model/mimo-v2-5-pro.md) | 81.4% | 86.4% | estimated ± 2.4 pp, low confidence |
| [GLM-4.6](https://benchgap.net/model/glm-4-6.md) | 81.0% | 86.2% | estimated ± 2.4 pp, low confidence |
| [Gemini 3.1 Flash-Lite](https://benchgap.net/model/gemini-3-1-flash-lite.md) | 80.1% | 85.6% | estimated ± 2.4 pp, low confidence |
| [Gemini 3.5 Flash-Lite](https://benchgap.net/model/gemini-3-5-flash-lite.md) | 79.0% | 85.0% | estimated ± 2.4 pp, low confidence |

## Fitted on

| Model | Vals LiveCodeBench | LiveCodeBench v6 |
|---|---|---|
| [GLM-4.7](https://benchgap.net/model/glm-4-7.md) | 82.2% | 84.9% |
| [Kimi K2.6](https://benchgap.net/model/kimi-2-6.md) | 86.8% | 89.6% |
| [Nemotron 3 Ultra](https://benchgap.net/model/nemotron-3-ultra.md) | 86.0% | 89.0% |
| [Qwen3.6 Plus](https://benchgap.net/model/qwen3-6-plus.md) | 86.0% | 87.1% |
| [Qwen3.7 Max](https://benchgap.net/model/qwen3-7-max.md) | 87.1% | 91.6% |
| [Qwen3.8-27B](https://benchgap.net/model/qwen3-8-27b.md) | 84.0% | 90.3% |