mistral-medium-3-5Mistral AI SAS
- api
- chat
- hosting
- EU
- model lab
- Mistral AI
- weights
- closed
- added
- April 2026
- model id
- mistral/mistral-medium-3-5
capabilities 4/8
- input
- $1.65
- output
- $8.25
- cache write
- -
- cache read
- -
worked cost
| volume | cost |
|---|---|
| 100K in + 10K out | $0.25 |
| 1M in + 100K out | $2.48 |
| 10M in + 1M out | $24.75 |
Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing
no measured traffic for this endpoint yet. pricing above is the provider's own
| eval | Score as a share of 100 | /100 |
|---|---|---|
| τ²-Bench | 94.2 | |
| GPQA Diamond | 74.8 | |
| Coding Index | 46.9 | |
| SciCode | 40.2 | |
| Terminal-Bench Hard | 33.3 | |
| Intelligence Index | 14.9 | |
| Humanity's Last Exam | 13.8 | |
| 7 evals | mean | 45.4 |
Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2026-04-29.
- retention
- none
- trains on prompts
- no
- hosted in
- EU
Terms are the provider's, not Requesty's: routing a request here puts it under them. Mistral Privacy Policy
Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.
mistral/mistral-medium-3-5this id pins the mistral ai sas deployment, with no routing and no failover. the managed id on the canonical page routes across all 1 providers instead
from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create( model="mistral/mistral-medium-3-5", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ],) print(response.choices[0].message.content)
Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models
Mistral Medium 3.5 is a dense 128B instruction following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex multi step reasoning. It is particularly strong at reliable multi tool calling and long horizon tasks, with a 256K context window, configurable reasoning effort per request, and a custom vision encoder that handles variable image sizes and aspect ratios. Self hostable on as few as four GPUs and available under open weights.
questions 6
How much does mistral-medium-3-5 cost?
What is the context window of mistral-medium-3-5?
How does mistral-medium-3-5 perform on benchmarks?
What can mistral-medium-3-5 do?
How do I use mistral-medium-3-5 with the OpenAI SDK?
Can I run mistral-medium-3-5 through Requesty?
more from mistral ai sas 8
| endpoint | ctx | in /M |
|---|---|---|
| glm-5-2 | 1M | $1.54 |
| leanstral-1-5 | 262K | free |
| devstral-latest | 256K | $0.44 |
| mistral-medium-latest | 131K | $0.44 |
| mistral-small-latest | 256K | $0.17 |
| mistral-small-2603 | 256K | $0.17 |
| mistral-large-latest | 131K | $0.55 |
| codestral-latest | 131K | $0.33 |
call mistral-medium-3-5 through one endpoint
One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover when a provider degrades, and prompt caching built in. Methodology