Mistral
RankedEnough results for an index.Devstral Small
Devstral Small is a standard model from Mistral. 8 benchmarks count toward its index, in 5 categories.
IndexAll categories, out of 100.28.2±8.2Median 51.0
CoverageIndex weight that has results.75%
SpeedOutput tokens per second.—Median 67/s
First tokenSeconds to the first output token.—Median 1.3 s
Input / 1MUS dollars per 1M input tokens.—Median $0.60
Output / 1MUS dollars per 1M output tokens.—Median $2.55
ContextMaximum tokens in one request.128KMedian 262K
EloLMArena rating and rank.—Median 1422
Run locally
24.01B parameters- 16-bit
- 51.4 GB
- 8-bit
- 27.8 GB
- 4-bit
- 16.3 GB
Memory need with a short context. The 4-bit copy fits in 24 GB. Compare local models
Capabilities
Index per category, out of 100.Results
8 countedBenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
Sources
BenchLMCC BY-NC 4.0History
5 releases23 Oct 202612 Nov 2026
Questions
- How good is Devstral Small?
- Its index is 28.2 out of 100. That is place 255 of 283 ranked models.
- What is Devstral Small best at?
- Reasoning: 28.5 out of 100, place 211 of 227.
- What is the context window of Devstral Small?
- 128K tokens.
- Is Devstral Small open source?
- Yes. Its weights are published.
- When was Devstral Small released?
- May 2025.
Badge
- HTML
<a href="https://inference360.ai/models/devstral-small"><img src="https://inference360.ai/badges/devstral-small.svg" alt="Devstral Small on Inference360: place 255 of 283, index 28.2" height="20"></a>- Markdown
[](https://inference360.ai/models/devstral-small)