# SWE-bench Pro → LiveCodeBench v6

Calibration · https://benchgap.net/calibration/1466 · data retrieved 2026-10-29

LiveCodeBench v6 is estimated from SWE-bench Pro with a Michaelis–Menten + offset curve fitted on 22 models measured on both: y = 0.6337 + 2.0000·x / (3.98152 + x), R² = 0.85, cross-validated error 2.7 pp. It is used for 24 estimates.

| Estimated model | SWE-bench Pro | LiveCodeBench v6 | Source |
|---|---|---|---|
| [Claude Opus 5.5](https://benchgap.net/model/claude-opus-5-5.md) | 89.9% | 100.0% | estimated ± 2.7 pp, medium confidence |
| [Claude Sonnet 5.5](https://benchgap.net/model/claude-sonnet-5-5.md) | 81.3% | 97.3% | estimated ± 2.7 pp, medium confidence |
| [Claude Mythos 5](https://benchgap.net/model/claude-mythos-5.md) | 80.3% | 96.9% | estimated ± 2.7 pp, medium confidence |
| [Ling 3.1 Flash](https://benchgap.net/model/ling-3-1-flash.md) | 68.7% | 92.8% | estimated ± 2.7 pp, high confidence |
| [Beam 1.0 501B-A23B](https://benchgap.net/model/reflection-beam.md) | 66.1% | 91.8% | estimated ± 2.7 pp, high confidence |
| [Beam 1.0 501B-A23B FP8](https://benchgap.net/model/reflection-beam-fp8.md) | 65.9% | 91.8% | estimated ± 2.7 pp, high confidence |
| [Beam 1.0 501B-A23B NVFP4](https://benchgap.net/model/reflection-beam-nvfp4.md) | 65.6% | 91.7% | estimated ± 2.7 pp, high confidence |
| [Claude Opus 4.7 (Adaptive)](https://benchgap.net/model/claude-opus-4-7-adaptive.md) | 64.3% | 91.2% | estimated ± 2.7 pp, high confidence |
| [GPT-5.6 Luna](https://benchgap.net/model/gpt-5-6-luna.md) | 62.7% | 90.6% | estimated ± 2.7 pp, high confidence |
| [Sage-A1.5](https://benchgap.net/model/sage-a1-5.md) | 61.2% | 90.0% | estimated ± 2.7 pp, high confidence |
| [Atria Dawn Preview](https://benchgap.net/model/atria-dawn-preview.md) | 59.6% | 89.4% | estimated ± 2.7 pp, high confidence |
| [Laguna S 2.1](https://benchgap.net/model/laguna-s-2-1.md) | 59.4% | 89.3% | estimated ± 2.7 pp, high confidence |
| [GPT-5.4](https://benchgap.net/model/gpt-5-4.md) | 57.7% | 88.7% | estimated ± 2.7 pp, high confidence |
| [Step 3.7 Flash](https://benchgap.net/model/step-3-7-flash.md) | 56.3% | 88.1% | estimated ± 2.7 pp, high confidence |
| [GPT-5.2](https://benchgap.net/model/gpt-5-2.md) | 55.6% | 87.9% | estimated ± 2.7 pp, high confidence |
| [Spark-X2.6-4B](https://benchgap.net/model/spark-x2-6-4b.md) | 54.3% | 87.4% | estimated ± 2.7 pp, high confidence |
| [Claude Opus 4.6](https://benchgap.net/model/claude-opus-4-6.md) | 53.4% | 87.0% | estimated ± 2.7 pp, high confidence |
| [Muse Spark](https://benchgap.net/model/muse-spark.md) | 52.4% | 86.6% | estimated ± 2.7 pp, high confidence |
| [Muse Glimmer 30B](https://benchgap.net/model/muse-glimmer-30b.md) | 51.2% | 86.2% | estimated ± 2.7 pp, high confidence |
| [Laguna M.1](https://benchgap.net/model/laguna-m-1.md) | 49.2% | 85.4% | estimated ± 2.7 pp, high confidence |
| [Laguna XS 2.1](https://benchgap.net/model/laguna-xs-2-1.md) | 47.6% | 84.7% | estimated ± 2.7 pp, high confidence |
| [Laguna XS.2](https://benchgap.net/model/laguna-xs-2.md) | 46.3% | 84.2% | estimated ± 2.7 pp, high confidence |
| [LongCat-Flash-Lite-Sparse](https://benchgap.net/model/longcat-flash-lite-sparse.md) | 40.6% | 81.9% | estimated ± 2.7 pp, high confidence |
| [LLaDA2.2-flash](https://benchgap.net/model/llada2-2-flash.md) | 30.1% | 77.4% | estimated ± 2.7 pp, high confidence |

## Fitted on

| Model | SWE-bench Pro | LiveCodeBench v6 |
|---|---|---|
| [Claude Opus 4.5](https://benchgap.net/model/claude-opus-4-5.md) | 57.1% | 84.8% |
| [dots3-note Preview](https://benchgap.net/model/dots3-note-preview.md) | 61.0% | 91.5% |
| [Granite 4.2 30B](https://benchgap.net/model/granite-4-2-30b.md) | 33.3% | 75.8% |
| [Granite 4.2 8B](https://benchgap.net/model/granite-4-2-8b.md) | 19.1% | 73.2% |
| [Kimi K2.6](https://benchgap.net/model/kimi-2-6.md) | 58.6% | 89.6% |
| [Kimi K2.5](https://benchgap.net/model/kimi-k2-5.md) | 50.7% | 85.0% |
| [MAI-Thinking-1](https://benchgap.net/model/mai-thinking-1.md) | 52.8% | 87.7% |
| [Mellum2.1-12B-A2.5B-Thinking](https://benchgap.net/model/mellum2-1-12b-a2-5b-thinking.md) | 28.0% | 82.0% |
| [MiniCPM5-2B](https://benchgap.net/model/minicpm5-2b.md) | 14.4% | 69.1% |
| [Nemotron 3.5 Super VL 120B A12B](https://benchgap.net/model/nemotron-3-5-super-vl-120b-a12b.md) | 51.8% | 88.2% |
| [Nemotron 3.5 Super VL 120B A12B NVFP4](https://benchgap.net/model/nemotron-3-5-super-vl-120b-a12b-nvfp4.md) | 51.3% | 87.4% |
| [Qwen3.5 397B](https://benchgap.net/model/qwen3-5-397b.md) | 50.9% | 83.6% |
| [Qwen3.6-27B](https://benchgap.net/model/qwen3-6-27b.md) | 53.5% | 83.9% |
| [Qwen3.6-35B-A3B](https://benchgap.net/model/qwen3-6-35b-a3b.md) | 49.5% | 80.4% |
| [Qwen3.6 Plus](https://benchgap.net/model/qwen3-6-plus.md) | 56.6% | 87.1% |
| [Qwen3.7 Max](https://benchgap.net/model/qwen3-7-max.md) | 60.6% | 91.6% |
| [Qwen3.7 Plus](https://benchgap.net/model/qwen3-7-plus.md) | 57.6% | 89.6% |
| [Qwen3.8-27B](https://benchgap.net/model/qwen3-8-27b.md) | 61.7% | 90.3% |
| [Qwen3.8-Flash-Next](https://benchgap.net/model/qwen3-8-flash-next.md) | 62.5% | 91.9% |
| [Qwen3.8-Omni-Flash](https://benchgap.net/model/qwen3-8-omni-flash.md) | 63.3% | 92.6% |
| [Sakana Fugu](https://benchgap.net/model/sakana-fugu.md) | 59.0% | 92.9% |
| [Sakana Fugu-Ultra](https://benchgap.net/model/sakana-fugu-ultra.md) | 73.7% | 93.2% |