mistral-large-latestMistral AI SAS
- api
- chat
- hosting
- EU
- model lab
- Mistral AI
- weights
- closed
- added
- December 2025
- model id
- mistral/mistral-large-latest
capabilities 2/8
- input
- $0.55
- output
- $1.65
- cache write
- -
- cache read
- -
worked cost
| volume | cost |
|---|---|
| 100K in + 10K out | $0.0715 |
| 1M in + 100K out | $0.72 |
| 10M in + 1M out | $7.15 |
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 |
|---|---|---|
| MMLU Pro | 49.1 | |
| GPQA Diamond | 34.9 | |
| LiveCodeBench | 9.9 | |
| Intelligence Index | 5.5 | |
| Humanity's Last Exam | 3.5 | |
| 5 evals | mean | 20.6 |
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 2023-12-11.
- 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-large-latestthis 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-large-latest", 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-large-latest is the routing tag used by Mistral AI to point to their most advanced flagship large language model
questions 6
How much does mistral-large-latest cost?
What is the context window of mistral-large-latest?
How does mistral-large-latest perform on benchmarks?
What can mistral-large-latest do?
How do I use mistral-large-latest with the OpenAI SDK?
Can I run mistral-large-latest 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-3-5 | 262K | $1.65 |
| mistral-medium-latest | 131K | $0.44 |
| mistral-small-latest | 256K | $0.17 |
| mistral-small-2603 | 256K | $0.17 |
| codestral-latest | 131K | $0.33 |
call mistral-large-latest 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
