# Vals LiveCodeBench → SWE-bench Verified

Calibration · https://benchgap.net/calibration/1583 · data retrieved 2026-10-29

SWE-bench Verified is estimated from Vals LiveCodeBench with a offset logistic curve fitted on 21 models measured on both: y = 0.7626 + (0.9646 − 0.7626) / (1 + exp(−200.00·(x − 0.8777))), R² = 0.72, cross-validated error 4.4 pp. It is used for 8 estimates.

| Estimated model | Vals LiveCodeBench | SWE-bench Verified | Source |
|---|---|---|---|
| [Gemini 3.8 Flash](https://benchgap.net/model/gemini-3-8-flash.md) | 89.5% | 95.8% | estimated ± 4.4 pp, high confidence |
| [Grok 4.6](https://benchgap.net/model/grok-4-6.md) | 88.2% | 90.5% | estimated ± 4.4 pp, high confidence |
| [Gemini 3.6 Flash](https://benchgap.net/model/gemini-3-6-flash.md) | 88.1% | 89.6% | estimated ± 4.4 pp, high confidence |
| [Kimi K3](https://benchgap.net/model/kimi-k3.md) | 87.2% | 81.2% | estimated ± 4.4 pp, high confidence |
| [Grok 4.3](https://benchgap.net/model/grok-4-3.md) | 84.5% | 76.3% | estimated ± 4.4 pp, high confidence |
| [Qwen3.5 Flash](https://benchgap.net/model/qwen3-5-flash.md) | 83.3% | 76.3% | estimated ± 4.4 pp, high confidence |
| [Kimi K2.7 Code](https://benchgap.net/model/kimi-k2-7-code.md) | 82.1% | 76.3% | estimated ± 4.4 pp, high confidence |
| [GLM-4.5](https://benchgap.net/model/glm-4-5.md) | 67.4% | 76.3% | estimated ± 4.4 pp, high confidence |

## Fitted on

| Model | Vals LiveCodeBench | SWE-bench Verified |
|---|---|---|
| [Claude Fable 5](https://benchgap.net/model/claude-fable.md) | 89.8% | 95.0% |
| [Claude Haiku 4.5](https://benchgap.net/model/claude-haiku-4-5.md) | 41.2% | 73.3% |
| [Claude Opus 4.8](https://benchgap.net/model/claude-opus-4-8.md) | 87.8% | 88.6% |
| [Claude Opus 5](https://benchgap.net/model/claude-opus-5.md) | 89.0% | 96.0% |
| [Claude Sonnet 4.6](https://benchgap.net/model/claude-sonnet-4-6.md) | 82.1% | 79.6% |
| [Claude Sonnet 5](https://benchgap.net/model/claude-sonnet-5.md) | 82.4% | 85.2% |
| [DeepSeek V4 Flash 0731](https://benchgap.net/model/deepseek-v4-flash-0731.md) | 87.3% | 79.0% |
| [DeepSeek V4 Pro 0813](https://benchgap.net/model/deepseek-v4-pro-0813.md) | 87.5% | 80.6% |
| [GLM-4.7](https://benchgap.net/model/glm-4-7.md) | 82.2% | 73.8% |
| [GPT-5.3 Codex](https://benchgap.net/model/gpt-5-3-codex.md) | 87.3% | 85.0% |
| [Grok 4.20](https://benchgap.net/model/grok-4-20-beta.md) | 84.3% | 76.7% |
| [Grok Code Fast 1](https://benchgap.net/model/grok-code-fast-1.md) | 62.0% | 70.8% |
| [Inkling](https://benchgap.net/model/inkling.md) | 85.5% | 77.6% |
| [Inkling-Small](https://benchgap.net/model/inkling-small.md) | 85.9% | 80.2% |
| [Kimi K2.6](https://benchgap.net/model/kimi-2-6.md) | 86.8% | 80.2% |
| [Laguna M.1](https://benchgap.net/model/laguna-m-1.md) | 68.1% | 74.6% |
| [Laguna XS.2](https://benchgap.net/model/laguna-xs-2.md) | 67.8% | 69.9% |
| [MiniMax M3](https://benchgap.net/model/minimax-m3.md) | 82.2% | 80.5% |
| [Nemotron 3 Ultra](https://benchgap.net/model/nemotron-3-ultra.md) | 86.0% | 71.9% |
| [Qwen3.6 Plus](https://benchgap.net/model/qwen3-6-plus.md) | 86.0% | 78.8% |
| [Qwen3.7 Max](https://benchgap.net/model/qwen3-7-max.md) | 87.1% | 80.4% |