Mistral Medium 3.1 Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
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
| Reasoning | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text, image |
| Output modality | Supports: text |
| Context window | 128k ~192 A4 pages of size 12 Arial font |
Mistral Medium 3.1 is amongst the leading models in intelligence, but particularly expensive when comparing to other non-reasoning models of similar price. It's also slower than average and somewhat verbose. The model supports text and image input, outputs text, and has a 128k tokens context window.
Mistral Medium 3.1 scores 21 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (averaging 15). When evaluating the Intelligence Index, it generated 7.6M tokens, which is somewhat verbose in comparison to the average of 5.5M.
Pricing for Mistral Medium 3.1 is $0.40 per 1M input tokens (expensive, average: $0.20) and $2.00 per 1M output tokens (expensive, average: $0.70). In total, it cost $51.65 to evaluate Mistral Medium 3.1 on the Intelligence Index.
At 75 tokens per second, Mistral Medium 3.1 is slower than average (94).
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
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: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of Mistral Medium 3.1 API Providers
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 3.1
Mistral Medium 3.1 was released on August 12, 2025.
Mistral Medium 3.1 was created by Mistral.
Mistral Medium 3.1 scores 21 on the Artificial Analysis Intelligence Index, placing it well above average among other non-reasoning models in a similar price tier (median: 15).
Mistral Medium 3.1 generates output at 74.6 tokens per second (based on Mistral's API), which is below average compared to other non-reasoning models in a similar price tier (median: 93.8 t/s).
Mistral Medium 3.1 has a time to first token (TTFT) of 1.25s (based on Mistral's API), which is better than average compared to other non-reasoning models in a similar price tier (median: 1.41s).
Mistral Medium 3.1 costs $0.40 per 1M input tokens (at the higher end, median: $0.20) and $2.00 per 1M output tokens (at the higher end, median: $0.70), based on Mistral's API.
Mistral Medium 3.1 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, Mistral Medium 3.1 generated 7.6M output tokens, which is somewhat higher than average compared to other non-reasoning models in a similar price tier (median: 5.5M).
No, Mistral Medium 3.1 is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Mistral Medium 3.1 supports text and image input.
Mistral Medium 3.1 supports text output.
Yes, Mistral Medium 3.1 supports image input and can analyze, describe, and answer questions about images.
Yes, Mistral Medium 3.1 is multimodal. It can process text and image input and generate text output.
Mistral Medium 3.1 has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.
No, Mistral Medium 3.1 is proprietary. The model weights are not publicly available.
Mistral Medium 3.1 is a proprietary model and Mistral has not disclosed the model size or parameter count.
Mistral Medium 3.1 achieves a score of 21 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Mistral Medium 3.1 is available via API through 1 provider. Compare API providers
Mistral Medium 3.1 is available through 1 API provider. Compare providers