Mistral Medium 3.1
Mistral AI · released Aug 13, 2025
- Type
- Closed
- Input
- $0.40
- Output
- $2.00
- Cached
- $0.040
List price · per 1M tokens · Mistral AI at 131K context · source ↗
Our take
Written Sep 2, 2026Mistral Medium 3.1 is a proprietary text-and-image model from Mistral AI that handles documents up to 131,072 tokens long. It sits between the company's open-weights line and its frontier-class Large models, with no published parameter count or benchmark scores in our data.
Pick this for general document and image analysis when a 128K-token request limit is enough, or for workflows tied to the Mistral platform where ecosystem integration matters. Skip it if you need verified quality scores, want to self-host, or if throughput speed is critical — the cheaper tier runs at less than half the speed.
The case for it
- 131,072-token request limit, among the larger ones in the mid-tier proprietary class.
- Handles text, images and files together in a single prompt.
- Identical pricing across primary providers, so switching host does not change your rate.
The case against it
- No benchmark scores in our data — chat, reasoning, coding and multimodal performance are all unmeasured.
- Parameter count undisclosed by the vendor, so scale and efficiency cannot be assessed.
- The slower tier costs more yet delivers less than half the throughput of the standard one.
How good is it?
We hold no score for this model.
So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.
Where to rent it
Prices checked 4 hours ago — each listing carries its own date.
Mistral AI, through OpenRouter
The lab is also the cheapest we hold. The strip above and this offer are the same one, so nothing on this page undercuts Mistral AI on 131K of context.
- per 1M tokens
- $0.40 in / $2.00 out
- Context served
- 131K
- Throughput
- ~158 tok/s
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouterOpenRouter's own listing | $0.40 / $2.00checked 4 hours ago | 131K | not measured | Unknown | Unknown | Unknown |
| Mistral AIThrough OpenRouter | $0.40 / $2.00checked 4 hours ago | 131K105K max reply | 158 tok/s | No | Yes30 days | Confirmed |
| Mistral AIeuThrough OpenRouter | $0.44 / $2.20checked 4 hours ago | 131K105K max reply | 85 tok/s | No | Yes30 days | Confirmed |
OpenRouterAcross the 3 listings we hold: 2 say they do not train on prompts, 0 say they do and 1 does not say. 2 appear in the zero-retention registry we check; the rest are unknown to us.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouterOpenRouter's own listing | ✓ | ✓ | ✓ |
| Mistral AIThrough OpenRouter | ✓ | ✓ | ✓ |
| Mistral AIeuThrough OpenRouter | ✓ | ✓ | ✓ |
Tool calling: 3 of 3 listings say yes. JSON output: 3 of 3 listings say yes. Strict schema: 3 of 3 listings say yes.
Models people weigh against Mistral Medium 3.1
When we formed this view
Recent changes
What moved
first indexed by our pipelineEach date is the day we first saw the change, or the day the maker announced it.
What we do not know about this model yet
- No independent board has scored it, so we hold no quality figures at all.
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
- 1 of 3 listings does not say whether it trains on prompts.
- We hold no batch or off-peak rate for any of its listings.
Licence and identifiers
What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.
Licence
We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.
Identifiers
- Takes in, gives back
- Text, images and documents in, text out
- Catalogue slug
- mistralai-mistral-medium-3-1