# SWE-bench Pro → Vals SWE-bench

Calibration · https://benchgap.net/calibration/1473 · data retrieved 2026-10-29

Vals SWE-bench is estimated from SWE-bench Pro with a Hill curve fitted on 35 models measured on both: y = 0.0000 + (1.0285 − 0.0000)·x^4.13 / (0.43114^4.13 + x^4.13), R² = 0.54, cross-validated error 7.5 pp. It is used for 3 estimates.

| Estimated model | SWE-bench Pro | Vals SWE-bench | Source |
|---|---|---|---|
| [Ling 3.1 Flash](https://benchgap.net/model/ling-3-1-flash.md) | 68.7% | 89.8% | estimated ± 7.5 pp, medium confidence |
| [Atria Dawn Preview](https://benchgap.net/model/atria-dawn-preview.md) | 59.6% | 81.4% | estimated ± 7.5 pp, medium confidence |
| [Laguna S 2.1](https://benchgap.net/model/laguna-s-2-1.md) | 59.4% | 81.2% | estimated ± 7.5 pp, medium confidence |

## Fitted on

| Model | SWE-bench Pro | Vals SWE-bench |
|---|---|---|
| [Claude Fable 5](https://benchgap.net/model/claude-fable.md) | 80.0% | 95.0% |
| [Claude Opus 4.8](https://benchgap.net/model/claude-opus-4-8.md) | 69.2% | 88.6% |
| [Claude Opus 5](https://benchgap.net/model/claude-opus-5.md) | 79.2% | 97.0% |
| [Claude Sonnet 5](https://benchgap.net/model/claude-sonnet-5.md) | 63.2% | 79.6% |
| [DeepSeek V4 Flash 0731](https://benchgap.net/model/deepseek-v4-flash-0731.md) | 52.6% | 88.8% |
| [DeepSeek V4 Pro 0813](https://benchgap.net/model/deepseek-v4-pro-0813.md) | 55.4% | 96.4% |
| [Gemini 3.5 Flash](https://benchgap.net/model/gemini-3-5-flash.md) | 55.1% | 78.8% |
| [Gemini 3.5 Flash-Lite](https://benchgap.net/model/gemini-3-5-flash-lite.md) | 54.2% | 75.0% |
| [GLM-5.1](https://benchgap.net/model/glm-5-1.md) | 58.4% | 76.4% |
| [GLM-5.2](https://benchgap.net/model/glm-5-2.md) | 62.1% | 82.8% |
| [GPT-5.3 Codex](https://benchgap.net/model/gpt-5-3-codex.md) | 56.8% | 78.0% |
| [GPT-5.5](https://benchgap.net/model/gpt-5-5.md) | 58.6% | 82.6% |
| [GPT-5.6 Luna](https://benchgap.net/model/gpt-5-6-luna.md) | 62.7% | 93.0% |
| [GPT-5.6 Sol](https://benchgap.net/model/gpt-5-6-sol.md) | 64.6% | 96.2% |
| [GPT-5.6 Terra](https://benchgap.net/model/gpt-5-6-terra.md) | 63.4% | 95.4% |
| [Grok 4.20](https://benchgap.net/model/grok-4-20-beta.md) | 51.8% | 72.2% |
| [Grok 4.5](https://benchgap.net/model/grok-4-5.md) | 64.7% | 86.6% |
| [Inkling](https://benchgap.net/model/inkling.md) | 54.3% | 77.6% |
| [Inkling-Small](https://benchgap.net/model/inkling-small.md) | 55.9% | 82.2% |
| [Kimi K2.6](https://benchgap.net/model/kimi-2-6.md) | 58.6% | 76.2% |
| [Laguna M.1](https://benchgap.net/model/laguna-m-1.md) | 49.2% | 57.6% |
| [Laguna XS.2](https://benchgap.net/model/laguna-xs-2.md) | 46.3% | 55.2% |
| [Ling 3.0 Flash](https://benchgap.net/model/ling-3-0-flash.md) | 56.6% | 65.2% |
| [MiMo-V2.5](https://benchgap.net/model/mimo-v2-5.md) | 56.1% | 71.0% |
| [MiMo-V2.5-Pro](https://benchgap.net/model/mimo-v2-5-pro.md) | 57.2% | 74.0% |
| [MiniMax M2.7](https://benchgap.net/model/minimax-m2-7.md) | 56.2% | 73.8% |
| [MiniMax M3](https://benchgap.net/model/minimax-m3.md) | 59.0% | 75.0% |
| [Muse Spark](https://benchgap.net/model/muse-spark.md) | 52.4% | 74.4% |
| [Muse Spark 1.1](https://benchgap.net/model/muse-spark-1-1.md) | 61.5% | 82.0% |
| [Qwen3.6-27B](https://benchgap.net/model/qwen3-6-27b.md) | 53.5% | 70.0% |
| [Qwen 3.6 Max (preview)](https://benchgap.net/model/qwen3-6-max-preview.md) | 57.3% | 72.8% |
| [Qwen3.6 Plus](https://benchgap.net/model/qwen3-6-plus.md) | 56.6% | 73.4% |
| [Qwen3.7 Max](https://benchgap.net/model/qwen3-7-max.md) | 60.6% | 68.8% |
| [Qwen3.8-27B](https://benchgap.net/model/qwen3-8-27b.md) | 61.7% | 86.0% |
| [Qwen3.8 Max](https://benchgap.net/model/qwen3-8-max.md) | 67.7% | 85.6% |