Coding benchmark
React Native Evals leaderboard
Every model the catalog carries a published React Native Evals value for, ranked by that value.
An open benchmark for AI coding agents on real-world React Native implementation tasks, emphasizing working app behavior, recommended architecture choices, and strict constraint adherence.
React Native Evals ranking
16 models with a published React Native Evals value, ordered by that value, highest first. Models the source has not scored on this benchmark are not listed — they are unmeasured, not last.
| Rank | Model | Provider | Framework-specific app development evaluation |
|---|---|---|---|
| 1 |  Composer 2 | Cursor | 96.1 |
| 2 | Composer 2 Fast | Cursor | 94.9 |
| 3 |  GPT-5.4 | OpenAI | 85.3 |
| 4 | GPT-5.5 | OpenAI | 84.7 |
| 5 |  Claude Opus 4.6 | Anthropic | 84.1 |
| 6 | Claude Opus 4.7 | Anthropic | 82.8 |
| 7 | Claude Sonnet 4.6 | Anthropic | 80.6 |
| 8 |  Gemini 3.1 Pro | 78.9 | |
| 9 |  Kimi K2.5 | Moonshot AI | 77.2 |
| 10 | Gemma 4 31B | 75.2 | |
| 11 |  GLM-5 | Z.AI | 74.8 |
| 12 |  Grok 4 | xAI | 72.6 |
| 13 | GPT-OSS 120B | OpenAI | 71.6 |
| 14 |  DeepSeek V3.2 | DeepSeek | 71.5 |
| 15 |  MiniMax M2.7 | MiniMax | 71.4 |
| 16 | GPT-OSS 20B | OpenAI | 71 |
Evidence key: Observed
Rows are ordered by the value React Native Evals published, highest first. The source does not state whether a higher value is the better result, so this page does not either: for a benchmark that measures a rate of failure, read the table from the bottom.