DevStral Small 2507: benchmark scores, price and ranking
DevStral Small 2507 from Mistral ranks #369 of 743 LLMs on the LLMs Tiger aggregate benchmark score (48.3), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Mistral
- Type
- Open-weight / local model
- Open weights
- Yes
- Released
- 2025-07-10 (source: curated)
- Aggregate rank
- #369 of 743 (score 48.3)
Across the 1 benchmark where at least ten models are scored, DevStral Small 2507 is in the top 10% on 0 and in the top half on 0.
DevStral Small 2507 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| SWE-bench Verified | 38.0% | #56 of 73 | SWE-bench Verified leaderboard | 2026-10-13 |
About DevStral Small 2507
DevStral Small 2507 is an open-weight model that can run on your own hardware from Mistral. It was released on 2025-07-10, 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 2507 stands
On our aggregate score, DevStral Small 2507 is #369 of 743 ranked models, around the middle of the table. Its score is 48.3; the scale is centred on 50, so it sits 1.7 points below the typical model. That beats 50% of the ranked field. Among the 2 ranked Mistral models it is #2. The next one up is DevStral Small 2505 at 49.1.
DevStral Small 2507, benchmark by benchmark
DevStral Small 2507 lands below the middle on SWE-bench Verified: 38.0%, #56 of 73, with 75% of the field scoring higher. Claude Opus 4.7 (max) leads at 83.5%; the closest result above is GPT-4.1 at 39.6%. It covers real GitHub issues resolved. The board median is 56.4%, so DevStral Small 2507 is 18.4 points below it. Source: SWE-bench Verified leaderboard, captured 2026-10-13.
Release history
The Mistral model released before it was DevStral Small 2505 on 2025-05-21, which scores 49.1.
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
- #366 Ring-2.6-1T (48.3)
- #367 Qwen2.5 Coder 32B Instruct (48.3)
- #368 mini-SWE-agent + Gemini 3.8 Flash (48.3)
- #370 ernie-5.1 (48.3)
- #371 Opus 4.5 (Thinking, 8K) (48.2)
- #372 qwen3.5-35b-a3b (48.2)
More from Mistral
- DevStral Small 2505 (#296, 49.1)
Compare it on the live leaderboard → · How the aggregate score works