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Benchmarks/reactbench

ReactBench

2026-10-10 · Ecosystem eval · v1.2

What it measures
Write features and fix issues in real React repositories. v1.2 has 39 tasks, 37 repositories, and 76 configurations. Million runs it. The React team does not, and neither does Meta.
How
The v1.2 board in the public reactbench.com/data file. Each effort tier is its own row. Tiers of one model are not merged into one score. This page lists the 47 rows that map to models on this site. The rank is the rank in the full 76-row board.
What the score means
The percent is the pass rate. The interval is the confidence interval in the data file. Cost is the average spend of that configuration.
Caveats
This is an ecosystem eval, not an official React or Meta eval. Do not call it official, and do not merge it with the Supabase, Next.js, or Convex evals into one number. The data file has no separate run date. The version is v1.2. Configurations without a model on this site are left off this table.
Updates
Synced v1.2 of reactbench.com/data on 2026-10-10.

Baseline board

#ModelBaselineCost per run
1Claude Fable 5.1
max
49.2$5.50
2GPT 5.6 Sol
max
46.7$3.06
3Claude Fable 5.1
xhigh
46.2$3.74
4Claude Fable 5
max
44.6$12.76
5Claude Fable 5.1
high
44.1$1.74
6Claude Fable 5
xhigh
43.1$9.17
7Claude Opus 5
max
42.1$5.94
8Claude Opus 5
high
41.5$3.68
9GPT 5.6 Sol
xhigh
41.0$2.02
10Claude Fable 5
high
40.5$6.80
11GPT 5.6 Terra
max
39.0$1.13
12GPT 5.6 Terra
high
37.4$0.40
13GPT 5.6 Sol
high
36.9$1.58
14GPT 5.6 Terra
xhigh
36.9$0.60
15Qwen3.8 Max
xhigh
36.4$1.62
16Claude Opus 5
xhigh
36.4$4.93
18Claude Fable 5
low
35.4$3.05
19DeepSeek V4.1 Flash
max
35.4$0.27
20GPT 5.6 Sol
medium
34.9$1.10
22Claude Opus 5
medium
34.4$2.04

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