GitTaskBench (SWE-Agent): leaderboard

GitTaskBench (Ni et al., 2025) gives a code agent a real-world task, such as restoring an old photo or extracting data from a PDF, plus the GitHub repository it must set up and use to do it: 54 tasks from 18 repositories across 7 domains. This board is the task pass rate under SWE-agent: the percentage of tasks whose output meets the task's success criteria, averaged over two runs; higher is better.

Metric: Task pass rate (%). Source: gittaskbench.github.io. Saturation forecast: Estimated already saturated. 9 models tracked.

Top models

#ModelScoreOverall rank
1Claude 3.7 Sonnet (20250219)42.59#399
2GPT-4.131.48#492
3Claude 3.5 Sonnet (20241022)22.23#635
4O3 Mini (Medium)20.37#536 (O3 Mini)
5Llama 3.3 70B Instruct18.52#1353
6DeepSeek V3 (0324)12.04#704
7Qwen 3 32B (Thinking)11.11#960 (Qwen 3 32B)
8GPT-4o (2024-08-06)10.19#731
9Qwen 3 32B (Non-reasoning)3.7#960 (Qwen 3 32B)

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

Interactive version: theaggregate.ai/benchmark?slug=gittaskbench-swe-agent · How It Works · Data refreshed daily, snapshot 2026-11-12.