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 Results for other workloads are historical and no longer updated.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 release, Mistral Medium 3. We suggest considering it instead.
Mistral Medium Intelligence, Performance & Price Analysis
Model summary
Speed
Verbosity
Mistral Medium is among the least intelligent models, but well priced when comparing to other non-reasoning models of similar price. The model supports text input, outputs text, and has a 33k tokens context window.
Mistral Medium scores 5 on the Artificial Analysis Intelligence Index, placing it at the lower end among comparable models (median: 7).
| 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 | 33k ~49 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
Speed
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Index vs. Cost per Intelligence Index Task
Intelligence Evaluations
Agentic knowledge work, (Elo-500)/2000
Agentic real-world work tasks, (Elo-500)/2000
Agentic SaaS workflows
Agentic coding & terminal use
Coding
Reasoning & knowledge
Professional document reasoning, All-pass
Physics reasoning
Knowledge
1 - hallucination rate
Long context reasoning
Legal agentic work, Hallucination-Gated All-Pass Rate
Agentic business operations
Agentic scientific research workflows in a terminal
Quantitative analysis on spreadsheets & documents
Kubernetes incident root-cause analysis
Visual reasoning
Medical long context reasoning
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 Mistral Medium
Mistral Medium was released on December 11, 2023.
Mistral Medium was created by Mistral.
Mistral Medium scores 5 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other non-reasoning models in a similar price tier (median: 7).
No, Mistral Medium is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Mistral Medium supports text input.
Mistral Medium supports text output.
No, Mistral Medium does not support image input. It can only process text.
No, Mistral Medium is not multimodal. It only supports text input.
Mistral Medium has a context window of 33k tokens. This determines how much text and conversation history the model can process in a single request.
No, Mistral Medium is proprietary. The model weights are not publicly available.
Mistral Medium is a proprietary model and Mistral has not disclosed the model size or parameter count.
Mistral Medium achieves a score of 5 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
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