# NL2Repo-Bench — AI model rankings

Tests whether the AI can turn a natural-language requirement into working code across an entire repository, not just produce a single function or patch. Higher is better.

1 tracked model have a published NL2Repo-Bench score. Higher is better. Scores are as published at each model's release.

## Ranking

| Rank | Model | Developer | Score | Released |
| --- | --- | --- | --- | --- |
| 1 | Qwen3.8-27B | Qwen | 42.3% | Aug 14 2026 |


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Canonical page: https://aireleasetracker.com/benchmark/nl2repo-bench
Full dataset: https://aireleasetracker.com/llms-full.txt · JSON: https://aireleasetracker.com/models.json
Source: AI Release Tracker (https://aireleasetracker.com). Benchmark scores are the figures published by the releasing lab at launch.