Benchmarks / Coding

React Native Evals

Coding agents build React Native app features — navigation, animation, async state, lists, native APIs and Skia graphics — and an LLM judge checks the generated code against each task's written requirements. Maintained by Callstack. Score: The board's overall score in percent: the share of requirements met, summed over all 91 evals and every repeat run (an LLM judge decides each requirement against the generated files).

23models
–Open Index weight
–last updated

React Native Evals

Higher is better · best effort per model

Chart settings
23 of 23 selected

full table below

#ModelEffortScoreCost / taskHarness
1Opus 5max90.8%––
2Fable 5max90.2%––
3GPT-5.6 Solmax89.8%––
4GPT-5.5xhigh89.3%––
5Grok 4.5max88.8%––
6Grok 4.6max88.6%––
7Opus 4.8max88.5%––
8GPT-5.6 Terramax87.8%––
9Sonnet 5max87.4%––
10GPT-5.6 Lunamax87.4%––
11Muse Spark 1.1max86.6%––
12Gemini 3.1 Prohigh84.3%––
13GLM 5.2max84.0%––
14MiniMax M3max83.5%––
15Kimi K2.6max82.9%––
16Gemini 3.5 Flashxhigh82.3%––
17Gemma 4 31B IThigh80.6%––
18DeepSeek V4 Flashmax80.4%––
19MiMo V2.5 Proxhigh80.4%––
20gpt-oss-120bhigh75.5%––
21gpt-oss-20bhigh73.9%––
22Mistral Large 3none72.8%––
23Nemotron 3 Ultramax67.6%––