This model is deprecated. We only continue performance benchmarking for the default 10k input token workload. Results for other workloads are historical and no longer updated.
Mistral has launched a newer model, Devstral 2. We suggest considering it instead.
For more information, see comparison of Devstral 2 to other models and API provider benchmarks for Devstral 2.
Devstral Medium Intelligence, Performance & Price Analysis
Model summary
Intelligence
Speed
Input Price
Output Price
Verbosity
Devstral Medium is above average in intelligence and well priced when comparing to other non-reasoning models of similar price. The model supports text input, outputs text, and has a 256k tokens context window.
Devstral Medium scores 12 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (median: 9).
Pricing for Devstral Medium is $0.00 per 1M input tokens (competitively priced, median: $0.10) and $0.00 per 1M output tokens (competitively priced, median: $0.28).
| Reasoning | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text |
| Output modality | Supports: text |
| Context window | 256k ~384 A4 pages of size 12 Arial font |
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
Highlights
Speed
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Agentic real-world work tasks, (Elo-500)/2000
Agentic tool use
Agentic coding & terminal use
Coding
Reasoning & knowledge
Scientific reasoning
Physics reasoning
Knowledge
1 - hallucination rate
Long context reasoning
Agentic knowledge work, Elo
Agentic SaaS workflows
Legal agentic work, criterion pass rate
Agentic business operations
Instruction following
Long-horizon agentic tasks
Kubernetes incident root-cause analysis
Visual reasoning
AA-Omniscience
AA-Omniscience Index
Intelligence Index Comparisons
Intelligence Index vs. Cost per Intelligence Index Task
Cost
Cost per Intelligence Index Task
Cost to Run Artificial Analysis Intelligence Index
Pricing: Cache Hit, Input, and Output
Context Window
Context Window
Frequently Asked Questions
Common questions about Devstral Medium
Devstral Medium was released on July 10, 2025.
Devstral Medium was created by Mistral.
Devstral Medium scores 12 (estimated) on the Artificial Analysis Intelligence Index, placing it above average among other non-reasoning models in a similar price tier (median: 9).
No, Devstral Medium is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Devstral Medium supports text input.
Devstral Medium supports text output.
No, Devstral Medium does not support image input. It can only process text.
No, Devstral Medium is not multimodal. It only supports text input.
Devstral Medium has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.
No, Devstral Medium is proprietary. The model weights are not publicly available.
Devstral Medium is a proprietary model and Mistral has not disclosed the model size or parameter count.
Devstral Medium achieves a score of 12 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
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