Django Benchmark Suite - Method Generation: leaderboard

A Django benchmark suite (Shibaev et al., 2026) built from a leakage-controlled Django repository snapshot to test whether SWE-bench-oriented training transfers to other repository-level coding tasks. In method generation the model writes a method body from its signature, a synthesized docstring and the rest of the file; pass@1 in percent over 359 held-out methods, a method passing when all its mapped Django tests pass, higher is better.

Metric: pass@1 (%; Method generation: the model writes a method body from its signature, a synthesized docstring and the rest of its source file; the output is inserted into the file and counts only when every Django test mapped to the method passes; 359 held-out methods of a leakage-controlled Django repository snapshot; greedy decoding, no agent scaffold). Source: arxiv.org. Saturation forecast: Estimated already saturated. 18 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.588.02#156
2Gemini 3 Pro86.35#137
3Gemini 3 Flash85.79#164
4GPT-584.68#167
5Gemini 2.5 Pro83.01#266
6Claude Sonnet 4.582.73#250
7GPT-4.176.6#495
8Claude Haiku 4.574.65#568
9Qwen 3 32B67.41#960
10Qwen 2.5 Coder 32B Instruct64.07#1562
11Qwen 2.5 Coder 7B Instruct52.92#3852

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

Interactive version: theaggregate.ai/benchmark?slug=django-benchmark-suite-method-generation · How It Works · Data refreshed daily, snapshot 2026-11-13.