Mistral has launched a newer model, Devstral 2, we suggest considering this model 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
USD per 1M tokens
Output Price
Verbosity
Devstral Medium is above average in intelligence, but particularly expensive when comparing to other non-reasoning models of similar price. It's also slower than average, however highly concise. The model supports text input, outputs text, and has a 256k tokens context window.
Devstral Medium scores 19 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (averaging 17). When evaluating the Intelligence Index, it generated 3.4M tokens, which is very concise in comparison to the average of 9.1M.
Pricing for Devstral Medium is $0.40 per 1M input tokens (expensive, average: $0.22) and $2.00 per 1M output tokens (expensive, average: $0.70). In total, it cost $67.39 to evaluate Devstral Medium on the Intelligence Index.
At 81 tokens per second, Devstral Medium is slower than average (93).
| 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
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Agentic real-world work tasks, (ELO-500)/2000
Agentic coding & terminal use
Agentic tool use
Long context reasoning
Knowledge
1 - hallucination rate
Reasoning & knowledge
Scientific reasoning
Coding
Instruction following
Physics reasoning
Long-horizon agentic tasks
Visual reasoning
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing now includes a “Cache Hit Price” alongside Input and Output pricing, with new blend ratios.
Pricing: Cache Hit, Input, and Output
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
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 19 on the Artificial Analysis Intelligence Index, placing it above average among other non-reasoning models in a similar price tier (median: 17).
Devstral Medium generates output at 80.7 tokens per second (based on Mistral's API), which is below average compared to other non-reasoning models in a similar price tier (median: 93.2 t/s).
Devstral Medium has a time to first token (TTFT) of 1.43s (based on Mistral's API), which is better than average compared to other non-reasoning models in a similar price tier (median: 1.86s).
Devstral Medium costs $0.40 per 1M input tokens (at the higher end, median: $0.22) and $2.00 per 1M output tokens (at the higher end, median: $0.70), based on Mistral's API.
Devstral Medium costs $0.40 per 1M input tokens and $2.00 per 1M output tokens (based on Mistral's API). For a blended rate (3:1 input to output ratio), this is $0.80 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Devstral Medium generated 3.4M output tokens, which is very competitive compared to other non-reasoning models in a similar price tier (median: 9.1M).
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 19 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
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