# Vals LiveCodeBench → SWE-bench Pro

Calibration · https://benchgap.net/calibration/1582 · data retrieved 2026-10-29

SWE-bench Pro is estimated from Vals LiveCodeBench with a offset logistic curve fitted on 32 models measured on both: y = 0.5697 + (0.8227 − 0.5697) / (1 + exp(−200.00·(x − 0.8833))), R² = 0.69, cross-validated error 4.8 pp. It is used for 4 estimates.

| Estimated model | Vals LiveCodeBench | SWE-bench Pro | Source |
|---|---|---|---|
| [Gemini 3.7 Flash](https://benchgap.net/model/gemini-3-7-flash.md) | 88.7% | 74.1% | estimated ± 4.8 pp, high confidence |
| [Grok 4.3](https://benchgap.net/model/grok-4-3.md) | 84.5% | 57.0% | estimated ± 4.8 pp, high confidence |
| [Qwen3.5 Flash](https://benchgap.net/model/qwen3-5-flash.md) | 83.3% | 57.0% | estimated ± 4.8 pp, high confidence |
| [GLM-4.5](https://benchgap.net/model/glm-4-5.md) | 67.4% | 57.0% | estimated ± 4.8 pp, medium confidence |

## Fitted on

| Model | Vals LiveCodeBench | SWE-bench Pro |
|---|---|---|
| [Claude Fable 5](https://benchgap.net/model/claude-fable.md) | 89.8% | 80.0% |
| [Claude Fable 5.1](https://benchgap.net/model/claude-fable-5-1.md) | 90.5% | 81.2% |
| [Claude Opus 4.8](https://benchgap.net/model/claude-opus-4-8.md) | 87.8% | 69.2% |
| [Claude Opus 5](https://benchgap.net/model/claude-opus-5.md) | 89.0% | 79.2% |
| [Claude Sonnet 5](https://benchgap.net/model/claude-sonnet-5.md) | 82.4% | 63.2% |
| [DeepSeek V4 Flash 0731](https://benchgap.net/model/deepseek-v4-flash-0731.md) | 87.3% | 52.6% |
| [DeepSeek V4 Pro 0813](https://benchgap.net/model/deepseek-v4-pro-0813.md) | 87.5% | 55.4% |
| [Gemini 3.5 Flash](https://benchgap.net/model/gemini-3-5-flash.md) | 87.6% | 55.1% |
| [Gemini 3.5 Flash-Lite](https://benchgap.net/model/gemini-3-5-flash-lite.md) | 79.0% | 54.2% |
| [GLM-5.1](https://benchgap.net/model/glm-5-1.md) | 81.4% | 58.4% |
| [GLM-5.2](https://benchgap.net/model/glm-5-2.md) | 69.5% | 62.1% |
| [GPT-5.3 Codex](https://benchgap.net/model/gpt-5-3-codex.md) | 87.3% | 56.8% |
| [GPT-5.5](https://benchgap.net/model/gpt-5-5.md) | 85.3% | 58.6% |
| [GPT-5.6 Sol](https://benchgap.net/model/gpt-5-6-sol.md) | 82.6% | 64.6% |
| [GPT-5.6 Terra](https://benchgap.net/model/gpt-5-6-terra.md) | 85.9% | 63.4% |
| [Grok 4.20](https://benchgap.net/model/grok-4-20-beta.md) | 84.3% | 51.8% |
| [Grok 4.5](https://benchgap.net/model/grok-4-5.md) | 87.4% | 64.7% |
| [Inkling](https://benchgap.net/model/inkling.md) | 85.5% | 54.3% |
| [Inkling-Small](https://benchgap.net/model/inkling-small.md) | 85.9% | 55.9% |
| [Kimi K2.6](https://benchgap.net/model/kimi-2-6.md) | 86.8% | 58.6% |
| [Laguna M.1](https://benchgap.net/model/laguna-m-1.md) | 68.1% | 49.2% |
| [Laguna XS.2](https://benchgap.net/model/laguna-xs-2.md) | 67.8% | 46.3% |
| [Ling 3.0 Flash](https://benchgap.net/model/ling-3-0-flash.md) | 84.0% | 56.6% |
| [MiMo-V2.5](https://benchgap.net/model/mimo-v2-5.md) | 81.5% | 56.1% |
| [MiMo-V2.5-Pro](https://benchgap.net/model/mimo-v2-5-pro.md) | 81.4% | 57.2% |
| [MiniMax M2.7](https://benchgap.net/model/minimax-m2-7.md) | 79.9% | 56.2% |
| [MiniMax M3](https://benchgap.net/model/minimax-m3.md) | 82.2% | 59.0% |
| [Muse Spark 1.1](https://benchgap.net/model/muse-spark-1-1.md) | 85.9% | 61.5% |
| [Qwen3.6 Plus](https://benchgap.net/model/qwen3-6-plus.md) | 86.0% | 56.6% |
| [Qwen3.7 Max](https://benchgap.net/model/qwen3-7-max.md) | 87.1% | 60.6% |
| [Qwen3.8-27B](https://benchgap.net/model/qwen3-8-27b.md) | 84.0% | 61.7% |
| [Qwen3.8 Max](https://benchgap.net/model/qwen3-8-max.md) | 87.9% | 67.7% |