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Benchmarks/convex-evals

Convex Evals

2026-10-08 · Framework eval · 92a60e0bb2f156b5ac44e6ea3f5d03a91deb434b9d002d14819d1fc2b6e35cdb

What it measures
Models write Convex code and the harness runs it. The current version has 112 tasks. The baseline is No Guidelines: no supplied guidelines and no web access.
How
The official Convex coding evals. Rank uses only No Guidelines. No Guidelines + Web is another column: the model may search and open pages, still without guidelines. The columns are not averaged or added.
What the score means
The percent is the pass rate on 112 tasks, kept to two decimals. The web column appears only when that model has a run. A missing run is not a zero.
Caveats
Convex writes the tasks and grades them. This measures a model together with Convex, not one framework against another. The front is near the ceiling. With Guidelines is omitted: on 2026-10-10 the public query runs:leaderboardScores with experiment=with_guidelines returned a server error. The With Guidelines tab has no experiment field. The unscoped default query is not treated as that arm.
Updates
Version 92a60e0bb2f156b5ac44e6ea3f5d03a91deb434b9d002d14819d1fc2b6e35cdb, minted 2026-10-08. This page synced No Guidelines (13 models) and No Guidelines + Web (8 models) from fabulous-panther-525.convex.cloud on 2026-10-10.

Baseline board

#ModelBaselineNo guidelines + webCost per run
1Claude Opus 5.5
1 run
90.1896.43$3.64
2GPT-6.1 Sol
1 run
88.3991.96$1.21
3Claude Sonnet 5.5
1 run
84.8284.82$1.42
4Claude Opus 5
1 run
80.3683.93$4.53
5Grok 4.7
1 run
80.36—$4.65
6Claude Haiku 5.5
2 runs
74.5579.02$0.16
7Gemini 3.1 Pro Preview
1 run
72.32—$3.99
8GPT 6 Luna
1 run
67.8667.86$0.08
9DeepSeek V4.1 Flash
1 run
66.0775.0$0.16
10Gemini 3.8 Flash
1 run
64.29—$2.40
11MiMo V2.6 Pro
1 run
54.46—$0.40
12MiMo V2.6 Flash
1 run
48.21—$0.10
13GLM-5.3
1 run
42.8639.29$0.45