# Vals SWE-bench → PostTrainBench v1.1

Calibration · https://benchgap.net/calibration/1596 · data retrieved 2026-10-29

PostTrainBench v1.1 is estimated from Vals SWE-bench with a inverse Michaelis–Menten curve fitted on 9 models measured on both: y = 0.38080·(x − 0.0000) / (0.0000 + 2.0000 − x), R² = 0.61, cross-validated error 3.3 pp. It is used for 48 estimates.

| Estimated model | Vals SWE-bench | PostTrainBench v1.1 | Source |
|---|---|---|---|
| [DeepSeek V4 Pro 0813](https://benchgap.net/model/deepseek-v4-pro-0813.md) | 96.4% | 35.4% | estimated ± 3.3 pp, high confidence |
| [Grok 4.6](https://benchgap.net/model/grok-4-6.md) | 95.6% | 34.9% | estimated ± 3.3 pp, high confidence |
| [GLM-5.3](https://benchgap.net/model/glm-5-3.md) | 95.4% | 34.7% | estimated ± 3.3 pp, high confidence |
| [GPT-5.6 Terra](https://benchgap.net/model/gpt-5-6-terra.md) | 95.4% | 34.7% | estimated ± 3.3 pp, high confidence |
| [Claude Fable 5](https://benchgap.net/model/claude-fable.md) | 95.0% | 34.5% | estimated ± 3.3 pp, high confidence |
| [GPT-5.6 Luna](https://benchgap.net/model/gpt-5-6-luna.md) | 93.0% | 33.1% | estimated ± 3.3 pp, high confidence |
| [GLM-5.3-Flash](https://benchgap.net/model/glm-5-3-flash.md) | 92.0% | 32.4% | estimated ± 3.3 pp, high confidence |
| [DeepSeek V4 Flash 0731](https://benchgap.net/model/deepseek-v4-flash-0731.md) | 88.8% | 30.4% | estimated ± 3.3 pp, high confidence |
| [Muse Spark 1.2](https://benchgap.net/model/muse-spark-1-2.md) | 86.6% | 29.1% | estimated ± 3.3 pp, high confidence |
| [Qwen3.8-27B](https://benchgap.net/model/qwen3-8-27b.md) | 86.0% | 28.7% | estimated ± 3.3 pp, high confidence |
| [Qwen3.8 Max](https://benchgap.net/model/qwen3-8-max.md) | 85.6% | 28.5% | estimated ± 3.3 pp, high confidence |
| [Inkling-Small](https://benchgap.net/model/inkling-small.md) | 82.2% | 26.6% | estimated ± 3.3 pp, high confidence |
| [Muse Spark 1.1](https://benchgap.net/model/muse-spark-1-1.md) | 82.0% | 26.5% | estimated ± 3.3 pp, high confidence |
| [Gemini 3.7 Flash](https://benchgap.net/model/gemini-3-7-flash.md) | 80.8% | 25.8% | estimated ± 3.3 pp, high confidence |
| [Gemini 3.8 Flash](https://benchgap.net/model/gemini-3-8-flash.md) | 80.0% | 25.4% | estimated ± 3.3 pp, high confidence |
| [Claude Sonnet 5](https://benchgap.net/model/claude-sonnet-5.md) | 79.6% | 25.2% | estimated ± 3.3 pp, high confidence |
| [Composer 2.5](https://benchgap.net/model/composer-2-5.md) | 79.6% | 25.2% | estimated ± 3.3 pp, high confidence |
| [Gemini 3.6 Flash](https://benchgap.net/model/gemini-3-6-flash.md) | 79.6% | 25.2% | estimated ± 3.3 pp, high confidence |
| [Gemini 3.5 Flash](https://benchgap.net/model/gemini-3-5-flash.md) | 78.8% | 24.8% | estimated ± 3.3 pp, high confidence |
| [Kimi K2.7 Code](https://benchgap.net/model/kimi-k2-7-code.md) | 78.2% | 24.4% | estimated ± 3.3 pp, medium confidence |
| [GPT-5.3 Codex](https://benchgap.net/model/gpt-5-3-codex.md) | 78.0% | 24.3% | estimated ± 3.3 pp, medium confidence |
| [Inkling](https://benchgap.net/model/inkling.md) | 77.6% | 24.1% | estimated ± 3.3 pp, medium confidence |
| [Claude Sonnet 4.6](https://benchgap.net/model/claude-sonnet-4-6.md) | 77.4% | 24.0% | estimated ± 3.3 pp, medium confidence |
| [GLM-5.1](https://benchgap.net/model/glm-5-1.md) | 76.4% | 23.5% | estimated ± 3.3 pp, medium confidence |
| [Kimi K2.6](https://benchgap.net/model/kimi-2-6.md) | 76.2% | 23.4% | estimated ± 3.3 pp, medium confidence |
| [Gemini 3.5 Flash-Lite](https://benchgap.net/model/gemini-3-5-flash-lite.md) | 75.0% | 22.8% | estimated ± 3.3 pp, medium confidence |
| [Gemini 3 Flash](https://benchgap.net/model/gemini-3-flash.md) | 75.0% | 22.8% | estimated ± 3.3 pp, medium confidence |
| [MiniMax M3](https://benchgap.net/model/minimax-m3.md) | 75.0% | 22.8% | estimated ± 3.3 pp, medium confidence |
| [Muse Spark](https://benchgap.net/model/muse-spark.md) | 74.4% | 22.6% | estimated ± 3.3 pp, medium confidence |
| [MiMo-V2.5-Pro](https://benchgap.net/model/mimo-v2-5-pro.md) | 74.0% | 22.4% | estimated ± 3.3 pp, medium confidence |
| [MiniMax M2.7](https://benchgap.net/model/minimax-m2-7.md) | 73.8% | 22.3% | estimated ± 3.3 pp, medium confidence |
| [Qwen3.6 Plus](https://benchgap.net/model/qwen3-6-plus.md) | 73.4% | 22.1% | estimated ± 3.3 pp, medium confidence |
| [GPT-5.4 mini](https://benchgap.net/model/gpt-5-4-mini.md) | 73.0% | 21.9% | estimated ± 3.3 pp, medium confidence |
| [Qwen 3.6 Max (preview)](https://benchgap.net/model/qwen3-6-max-preview.md) | 72.8% | 21.8% | estimated ± 3.3 pp, medium confidence |
| [GPT-5.2-Codex](https://benchgap.net/model/gpt-5-2-codex.md) | 72.4% | 21.6% | estimated ± 3.3 pp, medium confidence |
| [Grok 4.20](https://benchgap.net/model/grok-4-20-beta.md) | 72.2% | 21.5% | estimated ± 3.3 pp, medium confidence |
| [Grok 4.3](https://benchgap.net/model/grok-4-3.md) | 71.4% | 21.1% | estimated ± 3.3 pp, medium confidence |
| [MiMo-V2.5](https://benchgap.net/model/mimo-v2-5.md) | 71.0% | 21.0% | estimated ± 3.3 pp, medium confidence |
| [Qwen3.6-27B](https://benchgap.net/model/qwen3-6-27b.md) | 70.0% | 20.5% | estimated ± 3.3 pp, medium confidence |
| [GPT-5.4 nano](https://benchgap.net/model/gpt-5-4-nano.md) | 69.8% | 20.4% | estimated ± 3.3 pp, medium confidence |
| [GLM-4.7](https://benchgap.net/model/glm-4-7.md) | 69.4% | 20.2% | estimated ± 3.3 pp, medium confidence |
| [Nemotron 3 Ultra](https://benchgap.net/model/nemotron-3-ultra.md) | 69.0% | 20.1% | estimated ± 3.3 pp, medium confidence |
| [Qwen3.7 Max](https://benchgap.net/model/qwen3-7-max.md) | 68.8% | 20.0% | estimated ± 3.3 pp, medium confidence |
| [Claude Haiku 4.5](https://benchgap.net/model/claude-haiku-4-5.md) | 66.6% | 19.0% | estimated ± 3.3 pp, medium confidence |
| [Mistral Medium 3.5 128B](https://benchgap.net/model/mistral-medium-3-5-128b.md) | 66.4% | 18.9% | estimated ± 3.3 pp, medium confidence |
| [Ling 3.0 Flash](https://benchgap.net/model/ling-3-0-flash.md) | 65.2% | 18.4% | estimated ± 3.3 pp, medium confidence |
| [Qwen3.5 Flash](https://benchgap.net/model/qwen3-5-flash.md) | 64.4% | 18.1% | estimated ± 3.3 pp, medium confidence |
| [Gemini 3.1 Flash-Lite](https://benchgap.net/model/gemini-3-1-flash-lite.md) | 62.8% | 17.4% | estimated ± 3.3 pp, medium confidence |

## Fitted on

| Model | Vals SWE-bench | PostTrainBench v1.1 |
|---|---|---|
| [Claude Opus 4.7](https://benchgap.net/model/claude-opus-4-7.md) | 82.0% | 28.6% |
| [Claude Opus 4.8](https://benchgap.net/model/claude-opus-4-8.md) | 88.6% | 32.9% |
| [Claude Opus 5](https://benchgap.net/model/claude-opus-5.md) | 97.0% | 35.0% |
| [Gemini 3.1 Pro](https://benchgap.net/model/gemini-3-1-pro.md) | 78.8% | 22.0% |
| [GLM-5.2](https://benchgap.net/model/glm-5-2.md) | 82.8% | 31.7% |
| [GPT-5.5](https://benchgap.net/model/gpt-5-5.md) | 82.6% | 27.2% |
| [GPT-5.6 Sol](https://benchgap.net/model/gpt-5-6-sol.md) | 96.2% | 36.2% |
| [Grok 4.5](https://benchgap.net/model/grok-4-5.md) | 86.6% | 23.5% |
| [Kimi K3](https://benchgap.net/model/kimi-k3.md) | 93.4% | 32.0% |