OpenHands+Devstral is 100% local 100% open, and is SOTA for the category on SWE-Bench Verified: 46.8% accuracy.
Added Aug 2, 2025
Context Window
32.8K
Max Output
8.2K
Avg output tokens (7d)
161 tokens
Input Price (Auto)
$0.060/1M
Output Price (Auto)
$0.060/1M
Cache Read (Auto)
$0.030/1M
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
8.7
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
38.0%
Better than 46% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
32.0%
Better than 33% of models compared
Reasoning
HLE
Humanity's Last Exam
4.0%
Better than 13% of models compared
IFBench
Instruction-following benchmark
31.6%
Better than 18% of models compared
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
6.1%
Better than 34% of models compared
LiveCodeBench
Contamination-free coding benchmark
25.8%
Better than 27% of models compared
Math
AIME
American Invitational Mathematics Examination
6.7%
Better than 24% of models compared
Math-500
Diverse mathematical problem solving benchmark
68.4%
Better than 25% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
63.2%
Better than 24% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
43.4%
Better than 19% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
32.0%
Better than 33% of models compared
Last updated Sep 11, 2026
Artificial AnalysisProviders
Auto routing is available for this model. Explicit provider selection is not available.
Loading provider options…
Related text models
Compare Mistral Devstral Small 2505 with similar models from the same provider or model family.
Mistral Small 3 24B (2501)
mistralai/mistral-small-24b-instruct-2501Mistral Small 3 24B (2501) hosted by IONOS in Berlin, Germany. Zero data retention.
Mistral Small 4 119B Thinking
mistralai/mistral-small-4-119b-2603:thinkingMistral Small 4 with reasoning enabled (reasoning_effort=high). A hybrid MoE model with deep step-by-step reasoning for complex prompts, coding, and multi-step problem solving.
Mistral Small 4 119B
mistralai/mistral-small-4-119b-2603Mistral Small 4 is a hybrid MoE model that unifies instruct, reasoning, and coding behavior in a single multimodal model. It supports text and image input, native function calling, JSON output, and per-request reasoning effort controls.
Mistral Large 3 675B
mistralai/mistral-large-3-675b-instruct-2512Mistral Large 3 675B is Mistral AI's flagship language model featuring advanced rope scaling and Eagle speculative decoding. Delivers exceptional performance across reasoning, coding, and multilingual tasks.
Devstral 2 123B
mistralai/devstral-2-123b-instruct-2512Devstral 2 123B is a 123 billion parameter model from Mistral AI optimized for coding and development tasks. Features advanced reasoning capabilities for software engineering workflows.
Mistral Medium 3
mistralai/mistral-medium-3Mistral Medium 3 delivers frontier performance while being an order of magnitude less expensive. For instance, the model performs at or above 90% of Claude Sonnet 3.7 on benchmarks across the board at a significantly lower cost. On performance, Mistral Medium 3 also surpasses leading open models such as Llama 4 Maverick and enterprise models such as Cohere Command A. On pricing, the model beats cost leaders such as DeepSeek v3, both in API and self-deployed systems.