# Vibe Code Bench → AA Coding Index

Calibration · https://benchgap.net/calibration/1601 · data retrieved 2026-10-29

AA Coding Index is estimated from Vibe Code Bench with a linear curve fitted on 16 models measured on both: y = 0.5460·x + 0.3864, R² = 0.73, cross-validated error 6.8 pp. It is used for 16 estimates.

| Estimated model | Vibe Code Bench | AA Coding Index | Source |
|---|---|---|---|
| [Claude Opus 4.6 (Adaptive)](https://benchgap.net/model/claude-opus-4-6-thinking.md) | 53.5% | 67.8% | estimated ± 6.8 pp, medium confidence |
| [GLM-5 (Reasoning)](https://benchgap.net/model/glm-5-reasoning.md) | 23.4% | 51.4% | estimated ± 6.8 pp, medium confidence |
| [Claude Sonnet 4.5 Thinking](https://benchgap.net/model/claude-sonnet-4-5-thinking.md) | 22.6% | 51.0% | estimated ± 6.8 pp, medium confidence |
| [GPT-5.1-Codex-Max](https://benchgap.net/model/gpt-5-1-codex-max.md) | 22.2% | 50.7% | estimated ± 6.8 pp, medium confidence |
| [Claude Opus 4.5 Thinking](https://benchgap.net/model/claude-opus-4-5-thinking.md) | 20.6% | 49.9% | estimated ± 6.8 pp, medium confidence |
| [Qwen3.5 Plus](https://benchgap.net/model/qwen3-5-plus.md) | 15.7% | 47.2% | estimated ± 6.8 pp, medium confidence |
| [MiniMax M2.5](https://benchgap.net/model/minimax-m2-5.md) | 14.9% | 46.7% | estimated ± 6.8 pp, medium confidence |
| [Gemini 3 Pro](https://benchgap.net/model/gemini-3-pro.md) | 14.3% | 46.4% | estimated ± 6.8 pp, medium confidence |
| [GPT-5 mini](https://benchgap.net/model/gpt-5-mini.md) | 14.2% | 46.4% | estimated ± 6.8 pp, medium confidence |
| [GPT-5.1-Codex](https://benchgap.net/model/gpt-5-1-codex.md) | 13.1% | 45.8% | estimated ± 6.8 pp, medium confidence |
| [Claude Haiku 4.5 Thinking](https://benchgap.net/model/claude-haiku-4-5-thinking.md) | 11.4% | 44.9% | estimated ± 6.8 pp, medium confidence |
| [DeepSeek V3.2 (Thinking)](https://benchgap.net/model/deepseek-v3-2-thinking.md) | 5.1% | 41.4% | estimated ± 6.8 pp, medium confidence |
| [Qwen3 Max](https://benchgap.net/model/qwen3-max.md) | 3.5% | 40.5% | estimated ± 6.8 pp, medium confidence |
| [GLM-4.6](https://benchgap.net/model/glm-4-6.md) | 3.1% | 40.3% | estimated ± 6.8 pp, medium confidence |
| [Grok 4.1 Fast (Reasoning)](https://benchgap.net/model/grok-4-1-fast-reasoning.md) | 1.2% | 39.3% | estimated ± 6.8 pp, medium confidence |
| [Grok 4 Fast (Reasoning)](https://benchgap.net/model/grok-4-fast-reasoning.md) | 0.0% | 38.6% | estimated ± 6.8 pp, low confidence |

## Fitted on

| Model | Vibe Code Bench | AA Coding Index |
|---|---|---|
| [DeepSeek V4 Pro 0813](https://benchgap.net/model/deepseek-v4-pro-0813.md) | 49.9% | 68.8% |
| [Gemini 2.5 Pro](https://benchgap.net/model/gemini-2-5-pro.md) | 0.4% | 33.3% |
| [Gemini 3.1 Pro](https://benchgap.net/model/gemini-3-1-pro.md) | 32.0% | 68.8% |
| [Gemini 3.5 Flash](https://benchgap.net/model/gemini-3-5-flash.md) | 48.7% | 70.1% |
| [GLM-5.1](https://benchgap.net/model/glm-5-1.md) | 31.5% | 55.8% |
| [GPT-5.1](https://benchgap.net/model/gpt-5-1.md) | 24.6% | 49.4% |
| [GPT-5.4](https://benchgap.net/model/gpt-5-4.md) | 67.4% | 71.1% |
| [GPT-5.4 mini](https://benchgap.net/model/gpt-5-4-mini.md) | 48.0% | 56.1% |
| [GPT-5.4 nano](https://benchgap.net/model/gpt-5-4-nano.md) | 26.1% | 56.1% |
| [GPT-5.5](https://benchgap.net/model/gpt-5-5.md) | 69.8% | 74.9% |
| [GPT-5 (high)](https://benchgap.net/model/gpt-5-high.md) | 20.1% | 37.8% |
| [Kimi K2.6](https://benchgap.net/model/kimi-2-6.md) | 37.9% | 61.8% |
| [Kimi K2.5 (Reasoning)](https://benchgap.net/model/kimi-k2-5-reasoning.md) | 17.5% | 46.8% |
| [MiniMax M2.7](https://benchgap.net/model/minimax-m2-7.md) | 27.0% | 52.6% |
| [Muse Spark](https://benchgap.net/model/muse-spark.md) | 19.7% | 58.6% |
| [Qwen3.6 Plus](https://benchgap.net/model/qwen3-6-plus.md) | 25.6% | 54.5% |