SWE-Atlas-QnA
QA for codebase understanding.
- Category
- Coding
- Unit
- Percent (%)
- Higher is better
- Comparison groups
- 1total
- All model rankings (records) · Ranked results: 1
All model rankings (records)
These rankings are recalculated by comparison group including legacy models and models unavailable in Claude Code / Codex. They differ from the rankings above because the set of models differs.
Show rankings including legacy and unavailable models (entries: 1)
official results (Introducing Mistral Large 4)
| Rank | Model | effort | Score | Source cost (metric) | measured/reported by | source |
|---|---|---|---|---|---|---|
| 1 | Mistral Large 4 | not stated | 59.4% | — | Mistral AI | Introducing Mistral Large 4Retrieved 2026-11-12 · Vendor-reported value. Self-reported by Mistral (as of the 2026-10-06 preview version; a separate article says the later open weights version improved with additional RL)Source excerptSWE-Atlas-QnA: 59.4% |