# SWE-bench Pro → Vals LiveCodeBench

Calibration · https://benchgap.net/calibration/1472 · data retrieved 2026-10-29

Vals LiveCodeBench is estimated from SWE-bench Pro with a Hill curve fitted on 32 models measured on both: y = 0.0000 + (0.8931 − 0.0000)·x^6.00 / (0.36733^6.00 + x^6.00), R² = 0.40, cross-validated error 4.7 pp. It is used for 19 estimates.

| Estimated model | SWE-bench Pro | Vals LiveCodeBench | Source |
|---|---|---|---|
| [Claude Mythos 5](https://benchgap.net/model/claude-mythos-5.md) | 80.3% | 88.5% | estimated ± 4.7 pp, medium confidence |
| [Ling 3.1 Flash](https://benchgap.net/model/ling-3-1-flash.md) | 68.7% | 87.3% | estimated ± 4.7 pp, medium confidence |
| [Hy4 preview](https://benchgap.net/model/hy4-preview.md) | 65.7% | 86.7% | estimated ± 4.7 pp, medium confidence |
| [Ornith-1.5-397B](https://benchgap.net/model/ornith-1-5-397b.md) | 65.1% | 86.5% | estimated ± 4.7 pp, medium confidence |
| [Claude Opus 4.7 (Adaptive)](https://benchgap.net/model/claude-opus-4-7-adaptive.md) | 64.3% | 86.3% | estimated ± 4.7 pp, medium confidence |
| [Ornith-1.0-397B](https://benchgap.net/model/ornith-1-0-397b.md) | 62.2% | 85.7% | estimated ± 4.7 pp, medium confidence |
| [Atria Dawn Preview](https://benchgap.net/model/atria-dawn-preview.md) | 59.6% | 84.7% | estimated ± 4.7 pp, medium confidence |
| [Ornith-1.5-35B-A3B](https://benchgap.net/model/ornith-1-5-35b-a3b.md) | 59.6% | 84.7% | estimated ± 4.7 pp, medium confidence |
| [Laguna S 2.1](https://benchgap.net/model/laguna-s-2-1.md) | 59.4% | 84.6% | estimated ± 4.7 pp, medium confidence |
| [Step 3.7 Flash](https://benchgap.net/model/step-3-7-flash.md) | 56.3% | 82.9% | estimated ± 4.7 pp, medium confidence |
| [GPT-5.2](https://benchgap.net/model/gpt-5-2.md) | 55.6% | 82.5% | estimated ± 4.7 pp, medium confidence |
| [Muse Spark](https://benchgap.net/model/muse-spark.md) | 52.4% | 79.8% | estimated ± 4.7 pp, medium confidence |
| [Ornith-1.0-35B](https://benchgap.net/model/ornith-1-0-35b.md) | 50.4% | 77.7% | estimated ± 4.7 pp, medium confidence |
| [Laguna XS 2.1](https://benchgap.net/model/laguna-xs-2-1.md) | 47.6% | 73.7% | estimated ± 4.7 pp, medium confidence |
| [Ornith-1.5-9B](https://benchgap.net/model/ornith-1-5-9b.md) | 47.5% | 73.6% | estimated ± 4.7 pp, medium confidence |
| [Ornith-1.0-9B](https://benchgap.net/model/ornith-1-0-9b.md) | 42.9% | 64.1% | estimated ± 4.7 pp, low confidence |
| [LongCat-Flash-Lite-Sparse](https://benchgap.net/model/longcat-flash-lite-sparse.md) | 40.6% | 57.8% | estimated ± 4.7 pp, low confidence |
| [LLaDA2.2-flash](https://benchgap.net/model/llada2-2-flash.md) | 30.1% | 20.8% | estimated ± 4.7 pp, low confidence |
| [MiniCPM5-2B](https://benchgap.net/model/minicpm5-2b.md) | 14.4% | 0.3% | estimated ± 4.7 pp, low confidence |

## Fitted on

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