# Vals SWE-bench → DeepSWE

Calibration · https://benchgap.net/calibration/1590 · data retrieved 2026-10-29

DeepSWE is estimated from Vals SWE-bench with a offset logistic curve fitted on 18 models measured on both: y = 0.5632 + (0.6782 − 0.5632) / (1 + exp(−200.00·(x − 0.9175))), R² = 0.43, cross-validated error 7.2 pp. It is used for 21 estimates.

| Estimated model | Vals SWE-bench | DeepSWE | Source |
|---|---|---|---|
| [Inkling-Small](https://benchgap.net/model/inkling-small.md) | 82.2% | 56.3% | estimated ± 7.2 pp, low confidence |
| [Composer 2.5](https://benchgap.net/model/composer-2-5.md) | 79.6% | 56.3% | estimated ± 7.2 pp, low confidence |
| [GPT-5.3 Codex](https://benchgap.net/model/gpt-5-3-codex.md) | 78.0% | 56.3% | estimated ± 7.2 pp, low confidence |
| [Claude Sonnet 4.6](https://benchgap.net/model/claude-sonnet-4-6.md) | 77.4% | 56.3% | estimated ± 7.2 pp, low confidence |
| [Gemini 3.5 Flash-Lite](https://benchgap.net/model/gemini-3-5-flash-lite.md) | 75.0% | 56.3% | estimated ± 7.2 pp, low confidence |
| [Gemini 3 Flash](https://benchgap.net/model/gemini-3-flash.md) | 75.0% | 56.3% | estimated ± 7.2 pp, low confidence |
| [Claude Haiku 4.5](https://benchgap.net/model/claude-haiku-4-5.md) | 66.6% | 56.3% | estimated ± 7.2 pp, low confidence |
| [Gemini 3.1 Flash-Lite](https://benchgap.net/model/gemini-3-1-flash-lite.md) | 62.8% | 56.3% | estimated ± 7.2 pp, low confidence |
| [GLM-4.7](https://benchgap.net/model/glm-4-7.md) | 69.4% | 56.3% | estimated ± 7.2 pp, low confidence |
| [GPT-5.2-Codex](https://benchgap.net/model/gpt-5-2-codex.md) | 72.4% | 56.3% | estimated ± 7.2 pp, low confidence |
| [Grok 4.20](https://benchgap.net/model/grok-4-20-beta.md) | 72.2% | 56.3% | estimated ± 7.2 pp, low confidence |
| [Grok 4.3](https://benchgap.net/model/grok-4-3.md) | 71.4% | 56.3% | estimated ± 7.2 pp, low confidence |
| [Ling 3.0 Flash](https://benchgap.net/model/ling-3-0-flash.md) | 65.2% | 56.3% | estimated ± 7.2 pp, low confidence |
| [MiMo-V2.5](https://benchgap.net/model/mimo-v2-5.md) | 71.0% | 56.3% | estimated ± 7.2 pp, low confidence |
| [MiniMax M2.7](https://benchgap.net/model/minimax-m2-7.md) | 73.8% | 56.3% | estimated ± 7.2 pp, low confidence |
| [Mistral Medium 3.5 128B](https://benchgap.net/model/mistral-medium-3-5-128b.md) | 66.4% | 56.3% | estimated ± 7.2 pp, low confidence |
| [Nemotron 3 Ultra](https://benchgap.net/model/nemotron-3-ultra.md) | 69.0% | 56.3% | estimated ± 7.2 pp, low confidence |
| [Qwen3.5 Flash](https://benchgap.net/model/qwen3-5-flash.md) | 64.4% | 56.3% | estimated ± 7.2 pp, low confidence |
| [Qwen3.6-27B](https://benchgap.net/model/qwen3-6-27b.md) | 70.0% | 56.3% | estimated ± 7.2 pp, low confidence |
| [Qwen 3.6 Max (preview)](https://benchgap.net/model/qwen3-6-max-preview.md) | 72.8% | 56.3% | estimated ± 7.2 pp, low confidence |
| [Qwen3.6 Plus](https://benchgap.net/model/qwen3-6-plus.md) | 73.4% | 56.3% | estimated ± 7.2 pp, low confidence |

## Fitted on

| Model | Vals SWE-bench | DeepSWE |
|---|---|---|
| [Claude Opus 5](https://benchgap.net/model/claude-opus-5.md) | 97.0% | 68.8% |
| [DeepSeek V4 Flash 0731](https://benchgap.net/model/deepseek-v4-flash-0731.md) | 88.8% | 54.4% |
| [DeepSeek V4 Pro 0813](https://benchgap.net/model/deepseek-v4-pro-0813.md) | 96.4% | 62.7% |
| [Gemini 3.6 Flash](https://benchgap.net/model/gemini-3-6-flash.md) | 79.6% | 49.0% |
| [Gemini 3.7 Flash](https://benchgap.net/model/gemini-3-7-flash.md) | 80.8% | 65.3% |
| [Gemini 3.8 Flash](https://benchgap.net/model/gemini-3-8-flash.md) | 80.0% | 73.8% |
| [GLM-5.3](https://benchgap.net/model/glm-5-3.md) | 95.4% | 66.9% |
| [GLM-5.3-Flash](https://benchgap.net/model/glm-5-3-flash.md) | 92.0% | 63.4% |
| [GPT-5.6 Luna](https://benchgap.net/model/gpt-5-6-luna.md) | 93.0% | 67.2% |
| [GPT-5.6 Sol](https://benchgap.net/model/gpt-5-6-sol.md) | 96.2% | 72.7% |
| [GPT-5.6 Terra](https://benchgap.net/model/gpt-5-6-terra.md) | 95.4% | 69.6% |
| [Grok 4.5](https://benchgap.net/model/grok-4-5.md) | 86.6% | 53.0% |
| [Grok 4.6](https://benchgap.net/model/grok-4-6.md) | 95.6% | 65.9% |
| [Kimi K3](https://benchgap.net/model/kimi-k3.md) | 93.4% | 67.5% |
| [Muse Spark 1.1](https://benchgap.net/model/muse-spark-1-1.md) | 82.0% | 53.3% |
| [Muse Spark 1.2](https://benchgap.net/model/muse-spark-1-2.md) | 86.6% | 59.3% |
| [Qwen3.8-27B](https://benchgap.net/model/qwen3-8-27b.md) | 86.0% | 42.2% |
| [Qwen3.8 Max](https://benchgap.net/model/qwen3-8-max.md) | 85.6% | 56.6% |