# Vals SWE-bench → AA-SciCode

Calibration · https://benchgap.net/calibration/1586 · data retrieved 2026-10-29

AA-SciCode is estimated from Vals SWE-bench with a linear curve fitted on 41 models measured on both: y = 0.3844·x + 0.2041, R² = 0.48, cross-validated error 4.2 pp. It is used for 1 estimate.

| Estimated model | Vals SWE-bench | AA-SciCode | Source |
|---|---|---|---|
| [Qwen3.5 Flash](https://benchgap.net/model/qwen3-5-flash.md) | 64.4% | 45.2% | estimated ± 4.2 pp, medium confidence |

## Fitted on

| Model | Vals SWE-bench | AA-SciCode |
|---|---|---|
| [Claude Fable 5](https://benchgap.net/model/claude-fable.md) | 95.0% | 61.0% |
| [Claude Opus 4.8](https://benchgap.net/model/claude-opus-4-8.md) | 88.6% | 54.4% |
| [Claude Opus 5](https://benchgap.net/model/claude-opus-5.md) | 97.0% | 56.4% |
| [Claude Sonnet 5](https://benchgap.net/model/claude-sonnet-5.md) | 79.6% | 54.3% |
| [DeepSeek V4 Flash 0731](https://benchgap.net/model/deepseek-v4-flash-0731.md) | 88.8% | 50.3% |
| [DeepSeek V4 Pro 0813](https://benchgap.net/model/deepseek-v4-pro-0813.md) | 96.4% | 51.0% |
| [Gemini 2.5 Pro](https://benchgap.net/model/gemini-2-5-pro.md) | 54.4% | 46.3% |
| [Gemini 3.1 Pro](https://benchgap.net/model/gemini-3-1-pro.md) | 78.8% | 58.7% |
| [Gemini 3.5 Flash](https://benchgap.net/model/gemini-3-5-flash.md) | 78.8% | 53.9% |
| [Gemini 3.5 Flash-Lite](https://benchgap.net/model/gemini-3-5-flash-lite.md) | 75.0% | 41.3% |
| [Gemini 3.6 Flash](https://benchgap.net/model/gemini-3-6-flash.md) | 79.6% | 53.4% |
| [Gemini 3.7 Flash](https://benchgap.net/model/gemini-3-7-flash.md) | 80.8% | 57.2% |
| [Gemini 3.8 Flash](https://benchgap.net/model/gemini-3-8-flash.md) | 80.0% | 56.6% |
| [GLM-5.1](https://benchgap.net/model/glm-5-1.md) | 76.4% | 44.8% |
| [GLM-5.2](https://benchgap.net/model/glm-5-2.md) | 82.8% | 51.2% |
| [GLM-5.3](https://benchgap.net/model/glm-5-3.md) | 95.4% | 59.0% |
| [GPT-5.4 mini](https://benchgap.net/model/gpt-5-4-mini.md) | 73.0% | 52.1% |
| [GPT-5.4 nano](https://benchgap.net/model/gpt-5-4-nano.md) | 69.8% | 47.2% |
| [GPT-5.5](https://benchgap.net/model/gpt-5-5.md) | 82.6% | 55.8% |
| [GPT-5.6 Luna](https://benchgap.net/model/gpt-5-6-luna.md) | 93.0% | 53.6% |
| [GPT-5.6 Sol](https://benchgap.net/model/gpt-5-6-sol.md) | 96.2% | 57.1% |
| [GPT-5.6 Terra](https://benchgap.net/model/gpt-5-6-terra.md) | 95.4% | 55.0% |
| [Grok 4.3](https://benchgap.net/model/grok-4-3.md) | 71.4% | 48.3% |
| [Grok 4.5](https://benchgap.net/model/grok-4-5.md) | 86.6% | 55.0% |
| [Grok 4.6](https://benchgap.net/model/grok-4-6.md) | 95.6% | 56.5% |
| [Inkling](https://benchgap.net/model/inkling.md) | 77.6% | 47.0% |
| [Inkling-Small](https://benchgap.net/model/inkling-small.md) | 82.2% | 49.7% |
| [Kimi K2.6](https://benchgap.net/model/kimi-2-6.md) | 76.2% | 51.5% |
| [Kimi K2.7 Code](https://benchgap.net/model/kimi-k2-7-code.md) | 78.2% | 47.8% |
| [Kimi K3](https://benchgap.net/model/kimi-k3.md) | 93.4% | 59.5% |
| [Ling 3.0 Flash](https://benchgap.net/model/ling-3-0-flash.md) | 65.2% | 42.0% |
| [MiMo-V2.5-Pro](https://benchgap.net/model/mimo-v2-5-pro.md) | 74.0% | 50.6% |
| [MiniMax M2.7](https://benchgap.net/model/minimax-m2-7.md) | 73.8% | 50.1% |
| [MiniMax M3](https://benchgap.net/model/minimax-m3.md) | 75.0% | 47.1% |
| [Mistral Medium 3.5 128B](https://benchgap.net/model/mistral-medium-3-5-128b.md) | 66.4% | 40.2% |
| [Muse Spark 1.1](https://benchgap.net/model/muse-spark-1-1.md) | 82.0% | 58.8% |
| [Muse Spark 1.2](https://benchgap.net/model/muse-spark-1-2.md) | 86.6% | 57.4% |
| [Nemotron 3 Ultra](https://benchgap.net/model/nemotron-3-ultra.md) | 69.0% | 40.3% |
| [Qwen3.6-27B](https://benchgap.net/model/qwen3-6-27b.md) | 70.0% | 42.8% |
| [Qwen3.7 Max](https://benchgap.net/model/qwen3-7-max.md) | 68.8% | 49.5% |
| [Qwen3.8-27B](https://benchgap.net/model/qwen3-8-27b.md) | 86.0% | 46.6% |