LibEvoBench - Stable APIs: leaderboard

LibEvoBench (2026) tests version-specific API knowledge of code models across 29 versions of PyTorch, NumPy and SciPy with API calling, API identification and signature recall tasks, averaging four task metrics on a 0-100 scale. This board is the average score on stable APIs, whose signature is identical in every covered version; higher is better.

Metric: Average task performance (0-100) on stable APIs (identical signature in every covered version): mean of four task metrics (API calling with version constraint, exact match; API calling parameter recall given name and version; API identification from a redacted docstring, exact match; signature recall F1) averaged over PyTorch, NumPy and SciPy versions, temperature 0 where supported and no thinking budget; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 13 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.592.3#49
2GPT-5.492#123
3Claude Sonnet 4.689.3#161
4Claude Sonnet 487.8#400
5Gemini 3 Flash (Minimal)87.8#164 (Gemini 3 Flash)
6GPT-4.184.3#495
7GPT-5.183.8#229
8GPT-583#167
9Gemini 2.5 Flash (Non-reasoning)81.6#453 (Gemini 2.5 Flash)
10Qwen 3.5 397B A17B (Non-reasoning)80.2#246 (Qwen 3.5 397B A17B)
11Gemini 2.0 Flash79.7#704
12Qwen 3.5 122B A10B (Non-reasoning)70.5#331 (Qwen 3.5 122B A10B)
13Qwen 3.5 35B A3B (Non-reasoning)63.3#482 (Qwen 3.5 35B A3B)

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=libevobench-stable-apis · How It Works · Data refreshed daily, snapshot 2026-11-13.