LibEvoBench - Evolving 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 evolving APIs, whose signature changed or which were introduced or deprecated within the covered versions; higher is better.

Metric: Average task performance (0-100) on evolving APIs (signature changed, introduced or deprecated within the covered versions): 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: Around February 2027. 13 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.486.4#123
2GPT-5.586.1#49
3Claude Sonnet 4.682.4#161
4Claude Sonnet 478.5#400
5Gemini 3 Flash (Minimal)78.5#164 (Gemini 3 Flash)
6GPT-4.171.7#495
7GPT-5.171.6#229
8GPT-571.5#167
9Gemini 2.5 Flash (Non-reasoning)69.8#453 (Gemini 2.5 Flash)
10Qwen 3.5 397B A17B (Non-reasoning)68.9#246 (Qwen 3.5 397B A17B)
11Gemini 2.0 Flash67.5#704
12Qwen 3.5 122B A10B (Non-reasoning)62.3#331 (Qwen 3.5 122B A10B)
13Qwen 3.5 35B A3B (Non-reasoning)54.7#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-evolving-apis · How It Works · Data refreshed daily, snapshot 2026-11-13.