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Benchmarks/reactbench

ReactBench

2026-10-19 · Ecosystem eval · v1.2

What it measures
Write features and fix issues in real React repositories. v1.2 has 39 tasks, 37 repositories, and 85 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 44 rows that map to models on this site. The rank is the rank in the full 85-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 2026-10-19 (85 configurations).

Baseline board

#ModelBaselineCost per run
1Claude Opus 5.5
max
54.4$5.64
2Claude Opus 5.5
xhigh
50.8$1.62
3Claude Fable 5.1
max
49.2$5.50
4GPT 5.6 Sol
max
46.7$3.06
5Claude Fable 5.1
xhigh
46.2$3.74
6Claude Opus 5.5
high
46.2$0.67
7Claude Fable 5
max
44.6$12.76
8Claude Fable 5.1
high
44.1$1.74
9Claude Opus 5.5
medium
43.6$0.49
10Claude Fable 5
xhigh
43.1$9.17
11Claude Opus 5
max
42.1$5.94
12Claude Opus 5
high
41.5$3.68
13GPT 5.6 Sol
xhigh
41.0$2.02
14Claude Fable 5
high
40.5$6.80
15GPT 5.6 Terra
max
39.0$1.13
16GPT 5.6 Terra
high
37.4$0.40
17GPT 5.6 Sol
high
36.9$1.58
18GPT 5.6 Terra
xhigh
36.9$0.60
20Claude Opus 5
xhigh
36.4$4.93
22Claude Fable 5
low
35.4$3.05

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