# Vals SWE-bench → NL2Repo

Calibration · https://benchgap.net/calibration/1594 · data retrieved 2026-10-29

NL2Repo is estimated from Vals SWE-bench with a Hill curve fitted on 14 models measured on both: y = 0.3517 + (1.2000 − 0.3517)·x^6.00 / (1.11211^6.00 + x^6.00), R² = 0.77, cross-validated error 4.7 pp. It is used for 43 estimates.

| Estimated model | Vals SWE-bench | NL2Repo | Source |
|---|---|---|---|
| [Claude Opus 5](https://benchgap.net/model/claude-opus-5.md) | 97.0% | 61.1% | estimated ± 4.7 pp, medium confidence |
| [GPT-5.6 Sol](https://benchgap.net/model/gpt-5-6-sol.md) | 96.2% | 60.2% | estimated ± 4.7 pp, high confidence |
| [Grok 4.6](https://benchgap.net/model/grok-4-6.md) | 95.6% | 59.6% | estimated ± 4.7 pp, high confidence |
| [GPT-5.6 Terra](https://benchgap.net/model/gpt-5-6-terra.md) | 95.4% | 59.3% | estimated ± 4.7 pp, high confidence |
| [Claude Fable 5](https://benchgap.net/model/claude-fable.md) | 95.0% | 58.9% | estimated ± 4.7 pp, high confidence |
| [Kimi K3](https://benchgap.net/model/kimi-k3.md) | 93.4% | 57.2% | estimated ± 4.7 pp, high confidence |
| [GPT-5.6 Luna](https://benchgap.net/model/gpt-5-6-luna.md) | 93.0% | 56.8% | estimated ± 4.7 pp, high confidence |
| [Claude Opus 4.8](https://benchgap.net/model/claude-opus-4-8.md) | 88.6% | 52.4% | estimated ± 4.7 pp, high confidence |
| [Grok 4.5](https://benchgap.net/model/grok-4-5.md) | 86.6% | 50.6% | estimated ± 4.7 pp, high confidence |
| [Muse Spark 1.2](https://benchgap.net/model/muse-spark-1-2.md) | 86.6% | 50.6% | estimated ± 4.7 pp, high confidence |
| [GPT-5.5](https://benchgap.net/model/gpt-5-5.md) | 82.6% | 47.4% | estimated ± 4.7 pp, high confidence |
| [Inkling-Small](https://benchgap.net/model/inkling-small.md) | 82.2% | 47.1% | estimated ± 4.7 pp, high confidence |
| [Claude Opus 4.7](https://benchgap.net/model/claude-opus-4-7.md) | 82.0% | 46.9% | estimated ± 4.7 pp, high confidence |
| [Muse Spark 1.1](https://benchgap.net/model/muse-spark-1-1.md) | 82.0% | 46.9% | estimated ± 4.7 pp, high confidence |
| [Gemini 3.7 Flash](https://benchgap.net/model/gemini-3-7-flash.md) | 80.8% | 46.0% | estimated ± 4.7 pp, high confidence |
| [Gemini 3.8 Flash](https://benchgap.net/model/gemini-3-8-flash.md) | 80.0% | 45.5% | estimated ± 4.7 pp, high confidence |
| [Claude Sonnet 5](https://benchgap.net/model/claude-sonnet-5.md) | 79.6% | 45.2% | estimated ± 4.7 pp, high confidence |
| [Composer 2.5](https://benchgap.net/model/composer-2-5.md) | 79.6% | 45.2% | estimated ± 4.7 pp, high confidence |
| [Gemini 3.6 Flash](https://benchgap.net/model/gemini-3-6-flash.md) | 79.6% | 45.2% | estimated ± 4.7 pp, high confidence |
| [Gemini 3.1 Pro](https://benchgap.net/model/gemini-3-1-pro.md) | 78.8% | 44.7% | estimated ± 4.7 pp, high confidence |
| [Gemini 3.5 Flash](https://benchgap.net/model/gemini-3-5-flash.md) | 78.8% | 44.7% | estimated ± 4.7 pp, high confidence |
| [Kimi K2.7 Code](https://benchgap.net/model/kimi-k2-7-code.md) | 78.2% | 44.3% | estimated ± 4.7 pp, high confidence |
| [GPT-5.3 Codex](https://benchgap.net/model/gpt-5-3-codex.md) | 78.0% | 44.2% | estimated ± 4.7 pp, high confidence |
| [Inkling](https://benchgap.net/model/inkling.md) | 77.6% | 43.9% | estimated ± 4.7 pp, high confidence |
| [Claude Sonnet 4.6](https://benchgap.net/model/claude-sonnet-4-6.md) | 77.4% | 43.8% | estimated ± 4.7 pp, high confidence |
| [Gemini 3.5 Flash-Lite](https://benchgap.net/model/gemini-3-5-flash-lite.md) | 75.0% | 42.5% | estimated ± 4.7 pp, high confidence |
| [Gemini 3 Flash](https://benchgap.net/model/gemini-3-flash.md) | 75.0% | 42.5% | estimated ± 4.7 pp, high confidence |
| [Muse Spark](https://benchgap.net/model/muse-spark.md) | 74.4% | 42.1% | estimated ± 4.7 pp, high confidence |
| [MiMo-V2.5-Pro](https://benchgap.net/model/mimo-v2-5-pro.md) | 74.0% | 41.9% | estimated ± 4.7 pp, high confidence |
| [GPT-5.4 mini](https://benchgap.net/model/gpt-5-4-mini.md) | 73.0% | 41.5% | estimated ± 4.7 pp, high confidence |
| [GPT-5.2-Codex](https://benchgap.net/model/gpt-5-2-codex.md) | 72.4% | 41.2% | estimated ± 4.7 pp, high confidence |
| [Grok 4.20](https://benchgap.net/model/grok-4-20-beta.md) | 72.2% | 41.1% | estimated ± 4.7 pp, high confidence |
| [Grok 4.3](https://benchgap.net/model/grok-4-3.md) | 71.4% | 40.7% | estimated ± 4.7 pp, high confidence |
| [MiMo-V2.5](https://benchgap.net/model/mimo-v2-5.md) | 71.0% | 40.5% | estimated ± 4.7 pp, high confidence |
| [GPT-5.4 nano](https://benchgap.net/model/gpt-5-4-nano.md) | 69.8% | 40.1% | estimated ± 4.7 pp, high confidence |
| [Claude Haiku 4.5](https://benchgap.net/model/claude-haiku-4-5.md) | 66.6% | 38.9% | estimated ± 4.7 pp, medium confidence |
| [Mistral Medium 3.5 128B](https://benchgap.net/model/mistral-medium-3-5-128b.md) | 66.4% | 38.8% | estimated ± 4.7 pp, medium confidence |
| [Ling 3.0 Flash](https://benchgap.net/model/ling-3-0-flash.md) | 65.2% | 38.5% | estimated ± 4.7 pp, medium confidence |
| [Qwen3.5 Flash](https://benchgap.net/model/qwen3-5-flash.md) | 64.4% | 38.2% | estimated ± 4.7 pp, medium confidence |
| [Gemini 3.1 Flash-Lite](https://benchgap.net/model/gemini-3-1-flash-lite.md) | 62.8% | 37.8% | estimated ± 4.7 pp, medium confidence |
| [Laguna M.1](https://benchgap.net/model/laguna-m-1.md) | 57.6% | 36.8% | estimated ± 4.7 pp, medium confidence |
| [Laguna XS.2](https://benchgap.net/model/laguna-xs-2.md) | 55.2% | 36.4% | estimated ± 4.7 pp, medium confidence |
| [Gemini 2.5 Pro](https://benchgap.net/model/gemini-2-5-pro.md) | 54.4% | 36.3% | estimated ± 4.7 pp, medium confidence |

## Fitted on

| Model | Vals SWE-bench | NL2Repo |
|---|---|---|
| [DeepSeek V4 Flash 0731](https://benchgap.net/model/deepseek-v4-flash-0731.md) | 88.8% | 54.2% |
| [DeepSeek V4 Pro 0813](https://benchgap.net/model/deepseek-v4-pro-0813.md) | 96.4% | 61.5% |
| [GLM-5.1](https://benchgap.net/model/glm-5-1.md) | 76.4% | 42.7% |
| [GLM-5.2](https://benchgap.net/model/glm-5-2.md) | 82.8% | 48.9% |
| [GLM-5.3](https://benchgap.net/model/glm-5-3.md) | 95.4% | 58.0% |
| [GLM-5.3-Flash](https://benchgap.net/model/glm-5-3-flash.md) | 92.0% | 56.3% |
| [MiniMax M2.7](https://benchgap.net/model/minimax-m2-7.md) | 73.8% | 39.8% |
| [MiniMax M3](https://benchgap.net/model/minimax-m3.md) | 75.0% | 42.1% |
| [Qwen3.6-27B](https://benchgap.net/model/qwen3-6-27b.md) | 70.0% | 36.2% |
| [Qwen 3.6 Max (preview)](https://benchgap.net/model/qwen3-6-max-preview.md) | 72.8% | 42.9% |
| [Qwen3.6 Plus](https://benchgap.net/model/qwen3-6-plus.md) | 73.4% | 37.9% |
| [Qwen3.7 Max](https://benchgap.net/model/qwen3-7-max.md) | 68.8% | 47.2% |
| [Qwen3.8-27B](https://benchgap.net/model/qwen3-8-27b.md) | 86.0% | 42.3% |
| [Qwen3.8 Max](https://benchgap.net/model/qwen3-8-max.md) | 85.6% | 55.9% |