# SWE-bench Verified → Vals SWE-bench

Calibration · https://benchgap.net/calibration/1485 · data retrieved 2026-10-29

Vals SWE-bench is estimated from SWE-bench Verified with a linear curve fitted on 24 models measured on both: y = 1.3755·x + -0.3368, R² = 0.69, cross-validated error 6.8 pp. It is used for 48 estimates.

| Estimated model | SWE-bench Verified | Vals SWE-bench | Source |
|---|---|---|---|
| [Claude Mythos 5](https://benchgap.net/model/claude-mythos-5.md) | 95.5% | 97.7% | estimated ± 6.8 pp, medium confidence |
| [Ember-1](https://benchgap.net/model/ember-1.md) | 92.2% | 93.1% | estimated ± 6.8 pp, medium confidence |
| [BTL-4](https://benchgap.net/model/btl-4.md) | 78.4% | 74.2% | estimated ± 6.8 pp, medium confidence |
| [MiMo-V2-Pro](https://benchgap.net/model/mimo-v2-pro.md) | 78.0% | 73.6% | estimated ± 6.8 pp, medium confidence |
| [Claude Sonnet 4.5](https://benchgap.net/model/claude-sonnet-4-5.md) | 77.2% | 72.5% | estimated ± 6.8 pp, medium confidence |
| [MiMo-V2-Omni](https://benchgap.net/model/mimo-v2-omni.md) | 74.8% | 69.2% | estimated ± 6.8 pp, medium confidence |
| [Claude 4.1 Opus](https://benchgap.net/model/claude-4-1-opus.md) | 74.5% | 68.8% | estimated ± 6.8 pp, medium confidence |
| [Step 3.5 Flash](https://benchgap.net/model/step-3-5-flash.md) | 74.4% | 68.7% | estimated ± 6.8 pp, medium confidence |
| [Flint](https://benchgap.net/model/flint-40b-a2-5b.md) | 74.2% | 68.4% | estimated ± 6.8 pp, medium confidence |
| [MAI-Thinking-1](https://benchgap.net/model/mai-thinking-1.md) | 73.5% | 67.4% | estimated ± 6.8 pp, medium confidence |
| [Jais-3-MoVA-36B-A4B](https://benchgap.net/model/jais-3-mova-36b-a4b.md) | 72.8% | 66.5% | estimated ± 6.8 pp, medium confidence |
| [Claude 4 Sonnet](https://benchgap.net/model/claude-4-sonnet.md) | 72.7% | 66.3% | estimated ± 6.8 pp, medium confidence |
| [MAI-Code-1.1-Flash](https://benchgap.net/model/mai-code-1-1-flash.md) | 72.6% | 66.2% | estimated ± 6.8 pp, medium confidence |
| [Claude 4 Opus](https://benchgap.net/model/claude-4-opus.md) | 72.5% | 66.0% | estimated ± 6.8 pp, medium confidence |
| [Jais-3-32B](https://benchgap.net/model/jais-3-32b.md) | 72.4% | 65.9% | estimated ± 6.8 pp, medium confidence |
| [Qwen3.5-27B](https://benchgap.net/model/qwen3-5-27b.md) | 72.4% | 65.9% | estimated ± 6.8 pp, medium confidence |
| [Nemotron 3.5 Super VL 120B A12B](https://benchgap.net/model/nemotron-3-5-super-vl-120b-a12b.md) | 71.1% | 64.1% | estimated ± 6.8 pp, medium confidence |
| [Nemotron 3.5 Super VL 120B A12B NVFP4](https://benchgap.net/model/nemotron-3-5-super-vl-120b-a12b-nvfp4.md) | 71.1% | 64.1% | estimated ± 6.8 pp, medium confidence |
| [Laguna XS 2.1](https://benchgap.net/model/laguna-xs-2-1.md) | 70.9% | 63.8% | estimated ± 6.8 pp, medium confidence |
| [Grok Code Fast 1](https://benchgap.net/model/grok-code-fast-1.md) | 70.8% | 63.7% | estimated ± 6.8 pp, medium confidence |
| [Solar Pro 4](https://benchgap.net/model/solar-pro-4.md) | 70.6% | 63.4% | estimated ± 6.8 pp, medium confidence |
| [Solar Open 2](https://benchgap.net/model/solar-open-2.md) | 70.4% | 63.2% | estimated ± 6.8 pp, medium confidence |
| [Jais-3-375B-A23B](https://benchgap.net/model/jais-3-375b-a23b.md) | 70.2% | 62.9% | estimated ± 6.8 pp, medium confidence |
| [Jais-3-7B](https://benchgap.net/model/jais-3-7b.md) | 70.2% | 62.9% | estimated ± 6.8 pp, medium confidence |
| [Qwen3-Coder 480B-A35B](https://benchgap.net/model/qwen3-coder-480b-a35b.md) | 69.6% | 62.1% | estimated ± 6.8 pp, medium confidence |
| [Qwen3.5-35B-A3B](https://benchgap.net/model/qwen3-5-35b-a3b.md) | 69.2% | 61.5% | estimated ± 6.8 pp, medium confidence |
| [LongCat-Flash-Lite-Sparse](https://benchgap.net/model/longcat-flash-lite-sparse.md) | 68.2% | 60.1% | estimated ± 6.8 pp, medium confidence |
| [DeepSeek V3.1](https://benchgap.net/model/deepseek-v3-1.md) | 66.0% | 57.1% | estimated ± 6.8 pp, medium confidence |
| [Kimi K2](https://benchgap.net/model/kimi-k2.md) | 65.8% | 56.8% | estimated ± 6.8 pp, medium confidence |
| [Claude 3.7 Sonnet](https://benchgap.net/model/claude-3-7-sonnet.md) | 62.3% | 52.0% | estimated ± 6.8 pp, low confidence |
| [Ternary Bonsai 2 27B](https://benchgap.net/model/ternary-bonsai-2-27b.md) | 60.8% | 50.0% | estimated ± 6.8 pp, low confidence |
| [Nemotron 3 Super 100B](https://benchgap.net/model/nemotron-3-super-100b.md) | 60.5% | 49.5% | estimated ± 6.8 pp, low confidence |
| [GLM-4.7-Flash](https://benchgap.net/model/glm-4-7-flash.md) | 59.2% | 47.8% | estimated ± 6.8 pp, low confidence |
| [DeepSeek-R1-0528](https://benchgap.net/model/deepseek-r1-0528.md) | 57.6% | 45.6% | estimated ± 6.8 pp, low confidence |
| [MiniMax M1 80k](https://benchgap.net/model/minimax-m1-80k.md) | 56.0% | 43.4% | estimated ± 6.8 pp, low confidence |
| [GPT-4.1](https://benchgap.net/model/gpt-4-1.md) | 54.6% | 41.4% | estimated ± 6.8 pp, low confidence |
| [ZAYA1-74B-Preview](https://benchgap.net/model/zaya1-74b-preview.md) | 53.2% | 39.5% | estimated ± 6.8 pp, low confidence |
| [o3-mini](https://benchgap.net/model/o3-mini.md) | 49.3% | 34.1% | estimated ± 6.8 pp, low confidence |
| [LLaDA2.2-flash](https://benchgap.net/model/llada2-2-flash.md) | 49.3% | 34.1% | estimated ± 6.8 pp, low confidence |
| [DeepSeek-R1](https://benchgap.net/model/deepseek-r1.md) | 49.2% | 34.0% | estimated ± 6.8 pp, low confidence |
| [Claude 3.5 Sonnet](https://benchgap.net/model/claude-3-5-sonnet.md) | 49.0% | 33.7% | estimated ± 6.8 pp, low confidence |
| [Mellum2.1-12B-A2.5B-Thinking](https://benchgap.net/model/mellum2-1-12b-a2-5b-thinking.md) | 47.0% | 31.0% | estimated ± 6.8 pp, low confidence |
| [Devstral Small](https://benchgap.net/model/devstral-small.md) | 46.8% | 30.7% | estimated ± 6.8 pp, low confidence |
| [MiniCPM5-2B](https://benchgap.net/model/minicpm5-2b.md) | 46.4% | 30.1% | estimated ± 6.8 pp, low confidence |
| [Sarvam 105B](https://benchgap.net/model/sarvam-105b.md) | 45.0% | 28.2% | estimated ± 6.8 pp, low confidence |
| [LFM3-1.7B](https://benchgap.net/model/lfm3-1-7b.md) | 43.4% | 26.0% | estimated ± 6.8 pp, low confidence |
| [Claude 3.5 Haiku](https://benchgap.net/model/claude-3-5-haiku.md) | 40.6% | 22.2% | estimated ± 6.8 pp, low confidence |
| [Sarvam 30B](https://benchgap.net/model/sarvam-30b.md) | 34.0% | 13.1% | estimated ± 6.8 pp, low confidence |

## Fitted on

| Model | SWE-bench Verified | Vals SWE-bench |
|---|---|---|
| [Claude Fable 5](https://benchgap.net/model/claude-fable.md) | 95.0% | 95.0% |
| [Claude Haiku 4.5](https://benchgap.net/model/claude-haiku-4-5.md) | 73.3% | 66.6% |
| [Claude Opus 4.8](https://benchgap.net/model/claude-opus-4-8.md) | 88.6% | 88.6% |
| [Claude Opus 5](https://benchgap.net/model/claude-opus-5.md) | 96.0% | 97.0% |
| [Claude Sonnet 4.6](https://benchgap.net/model/claude-sonnet-4-6.md) | 79.6% | 77.4% |
| [Claude Sonnet 5](https://benchgap.net/model/claude-sonnet-5.md) | 85.2% | 79.6% |
| [DeepSeek V4 Flash 0731](https://benchgap.net/model/deepseek-v4-flash-0731.md) | 79.0% | 88.8% |
| [DeepSeek V4 Pro 0813](https://benchgap.net/model/deepseek-v4-pro-0813.md) | 80.6% | 96.4% |
| [Gemini 2.5 Pro](https://benchgap.net/model/gemini-2-5-pro.md) | 63.8% | 54.4% |
| [GLM-4.7](https://benchgap.net/model/glm-4-7.md) | 73.8% | 69.4% |
| [GPT-5.3 Codex](https://benchgap.net/model/gpt-5-3-codex.md) | 85.0% | 78.0% |
| [Grok 4.20](https://benchgap.net/model/grok-4-20-beta.md) | 76.7% | 72.2% |
| [Inkling](https://benchgap.net/model/inkling.md) | 77.6% | 77.6% |
| [Inkling-Small](https://benchgap.net/model/inkling-small.md) | 80.2% | 82.2% |
| [Kimi K2.6](https://benchgap.net/model/kimi-2-6.md) | 80.2% | 76.2% |
| [Laguna M.1](https://benchgap.net/model/laguna-m-1.md) | 74.6% | 57.6% |
| [Laguna XS.2](https://benchgap.net/model/laguna-xs-2.md) | 69.9% | 55.2% |
| [MiniMax M3](https://benchgap.net/model/minimax-m3.md) | 80.5% | 75.0% |
| [Mistral Medium 3.5 128B](https://benchgap.net/model/mistral-medium-3-5-128b.md) | 77.6% | 66.4% |
| [Muse Spark](https://benchgap.net/model/muse-spark.md) | 77.4% | 74.4% |
| [Nemotron 3 Ultra](https://benchgap.net/model/nemotron-3-ultra.md) | 71.9% | 69.0% |
| [Qwen3.6-27B](https://benchgap.net/model/qwen3-6-27b.md) | 77.2% | 70.0% |
| [Qwen3.6 Plus](https://benchgap.net/model/qwen3-6-plus.md) | 78.8% | 73.4% |
| [Qwen3.7 Max](https://benchgap.net/model/qwen3-7-max.md) | 80.4% | 68.8% |