DevStral Small 2505: benchmark scores, price and ranking
DevStral Small 2505 from Mistral ranks #296 of 743 LLMs on the LLMs Tiger aggregate benchmark score (49.1), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Mistral
- Type
- Open-weight / local model
- Open weights
- Yes
- Released
- 2025-05-21 (source: curated)
- Aggregate rank
- #296 of 743 (score 49.1)
Across the 1 benchmark where at least ten models are scored, DevStral Small 2505 is in the top 10% on 0 and in the top half on 0.
DevStral Small 2505 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| SWE-bench Verified | 46.8% | #45 of 73 | SWE-bench Verified leaderboard | 2026-10-13 |
About DevStral Small 2505
DevStral Small 2505 is an open-weight model that can run on your own hardware from Mistral. It was released on 2025-05-21, according to the developer's announcement. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where DevStral Small 2505 stands
On our aggregate score, DevStral Small 2505 is #296 of 743 ranked models, around the middle of the table. Its score is 49.1; the scale is centred on 50, so it sits 0.9 points below the typical model. That beats 60% of the ranked field. Among the 2 ranked Mistral models it is #1. The next one down is DevStral Small 2507 at 48.3.
DevStral Small 2505, benchmark by benchmark
DevStral Small 2505 lands below the middle on SWE-bench Verified: 46.8%, #45 of 73, with 60% of the field scoring higher. Claude Opus 4.7 (max) leads at 83.5%; the closest result above is TTS(Bo8) at 47.0%. It covers real GitHub issues resolved. The board median is 56.4%, so DevStral Small 2505 is 9.6 points below it. Source: SWE-bench Verified leaderboard, captured 2026-10-13.
Release history
The next one was DevStral Small 2507 on 2025-07-10, at 48.3.
Reading these numbers
The 1 score on this page comes from 1 source: SWE-bench Verified leaderboard (1). 1 of them come from an official leaderboard and 0 from datasets or third-party runs. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #293 Kimi K2.5 (instant) (49.1)
- #294 kimi-k2-0711-preview (49.1)
- #295 TTS(Bo8) (49.1)
- #297 gpt-4-0125-preview (49.1)
- #298 gpt-5.2-chat-latest-20260210 (49.1)
- #299 parasail-qwen3-235b-a22b-instruct-2507 (49.0)
More from Mistral
- DevStral Small 2507 (#369, 48.3)
Compare it on the live leaderboard → · How the aggregate score works