VCoT-Bench-Type - Invariant: leaderboard

Metric: Weighted completion accuracy (%) on the tasks with every loop invariant removed of VCoT-Bench-Type (439 tasks in the sub-benchmark), Verus proof-completion tasks built by removing verification steps from solver-lifted Rust proofs (VCoT-Lift), zero-shot greedy decoding (temperature 0 except GPT-5 mini); a completion scores 1 if Verus accepts its syntax and a GPT-5 mini judge rates it semantically equivalent to the lifted ground-truth proof, 0.5 if only semantically correct, 0.25 if only syntactically correct, 0 otherwise; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 11 models tracked.

Top models

#ModelScoreOverall rank
1Claude Sonnet 4.568.71#138
2Gemini 3.1 Pro (Preview)62.07#54
3Gemini 3 Flash (Preview)57.65#78
4GPT-5.254.42#105
5Claude Haiku 4.5 (20251001)52.55#251
6DeepSeek V3.249.49#198
7DeepSeek R1 052846.6#217
8Qwen 3 8B (Non-reasoning)26.87#667 (Qwen 3 8B)
9GPT-5 Mini (2025-08-07)23.47#165
10GPT-OSS-20B17.69#499
11Qwen 3 8B (Thinking)10.03#667 (Qwen 3 8B)

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=vcot-bench-type-invariant · How It Works · Data refreshed daily, snapshot 2026-10-11.