Mistral has launched a newer model, Mistral Medium 3, we suggest considering this model instead.
For more information, see Comparison of Mistral Medium 3 to other models and API provider benchmarks for Mistral Medium 3.
Mistral Medium Intelligence, Performance & Price Analysis
Model summary
Intelligence
Speed
Input Price
USD per 1M tokens
Cache: $2.75 (-0%)
Output Price
Verbosity
Mistral Medium is among the least intelligent models and particularly expensive when comparing to other non-reasoning models of similar price. The model has a 33k tokens context window.
Mistral Medium scores 9 on the Artificial Analysis Intelligence Index, placing it at the lower end among comparable models (averaging 24).
Pricing for Mistral Medium is $2.75 per 1M input tokens (somewhat expensive, average: $2.00) and $8.10 per 1M output tokens (somewhat expensive, average: $8.00).
At 46 tokens per second, Mistral Medium is slower than average (56).
| Reasoning | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: This information is still being updated |
| Output modality | This information is still being updated |
| 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
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
PricingPricing now includes “Cache Hit Price” 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 Mistral Medium
Mistral Medium was released on December 11, 2023.
Mistral Medium was created by Mistral.
Mistral Medium scores 9 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other non-reasoning models in a similar price tier (median: 24).
Mistral Medium generates output at 46.1 tokens per second (based on Mistral's API), which is below average compared to other non-reasoning models in a similar price tier (median: 55.5 t/s).
Mistral Medium has a time to first token (TTFT) of 1.66s (based on Mistral's API), which is better than average compared to other non-reasoning models in a similar price tier (median: 1.67s).
Mistral Medium costs $2.75 per 1M input tokens (somewhat higher than average, median: $2.00) and $8.10 per 1M output tokens (somewhat higher than average, median: $8.00), based on Mistral's API.
Mistral Medium costs $2.75 per 1M input tokens and $8.10 per 1M output tokens (based on Mistral's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $3.29 per 1M tokens. Pricing may vary by provider. Compare provider pricing
No, Mistral Medium is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Mistral Medium supports text only input.
Mistral Medium supports text only output.
No, Mistral Medium does not support image input. It can only process text.
No, Mistral Medium is not multimodal. It only supports text only 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 9 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
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