Model Library
MistralReleased August 12, 2025Mistral Medium 3.1
Mistral · Released August 12, 2025
Intelligence score
15
At a glance
- Intelligence
- 15
- Speed
- 88.6tokens/sec
- Latency
- 1.59stime to first token
- Input price
- $0.40per 1M tokens
- Output price
- $2.00per 1M tokens
- Context window
- 130Ktokens
- Parameters
- —
Summary
Comparison summary
Mistral Medium 3.1 scores 15 on the Artificial Analysis Intelligence Index, placing it above average among other non-reasoning models in a similar price tier (median: 11). Mistral Medium 3.1 generates output at 88.6 tokens per second (based on Mistral's API), which is below average compared to other non-reasoning models in a similar price tier (median: 95.5 t/s). Mistral Medium 3.1 costs $0.40 per 1M input tokens (somewhat higher than average, median: $0.20) and $2.00 per 1M output tokens (at the higher end, median: $0.70), based on Mistral's API.
Specifications
Technical specifications
| Model name | Mistral Medium 3.1 |
|---|---|
| Provider | Mistral |
| Release date | August 12, 2025 |
| Intelligence score | 15 |
| Speed | 88.6 tokens/sec |
| Latency (TTFT) | 1.59s |
| Input price | $0.40 / 1M tokens |
| Output price | $2.00 / 1M tokens |
| Context window | 130,000 tokens |
| Parameters | — |
| Reasoning | No |
| Input modalities | text, image |
| Output modalities | — |
| Open weights | No |
| License | — |
| API availability | — |
| Source | Model Intelligence legacy profile: mistral-medium-3-1 |
Pricing
Token prices
Price per 1M tokens
Mistral Medium 3.1, as listed in the catalog record
- Input$0.40
- Output$2.00
| Token type | Price per 1M |
|---|---|
| Input | $0.40 |
| Output | $2.00 |
Model Intelligence legacy profile: mistral-medium-3-1
FAQ · 19
Frequently asked questions
Mistral Medium 3.1 was released on August 12, 2025.
Mistral Medium 3.1 was created by Mistral.
Mistral Medium 3.1 scores 15 on the Artificial Analysis Intelligence Index, placing it above average among other non-reasoning models in a similar price tier (median: 11).
Mistral Medium 3.1 generates output at 88.6 tokens per second (based on Mistral's API), which is below average compared to other non-reasoning models in a similar price tier (median: 95.5 t/s).
Mistral Medium 3.1 has a time to first token (TTFT) of 1.59s (based on Mistral's API), which is better than average compared to other non-reasoning models in a similar price tier (median: 1.53s).
Mistral Medium 3.1 costs $0.40 per 1M input tokens (somewhat higher than average, 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 (7:2:1 cache hit/input/output ratio), this is $0.56 per 1M tokens. Pricing may vary by provider.
When evaluated on the Intelligence Index, Mistral Medium 3.1 generated 8.6M output tokens, which is somewhat higher than average compared to other non-reasoning models in a similar price tier (median: 8.4M).
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 15 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.
Mistral Medium 3.1 is available through 1 API provider.