open-mistral-7b
Mistral AI/Open weights/1 provider
OpenMistral-7B (officially Mistral 7B) is a highly efficient, 7.3-billion parameter open-weight language model released by Mistral AI. Praised for its excellent performance-to-size ratio, it frequently outperforms much larger proprietary and open-source models while being light enough to run on standard consumer hardware. MoreLess
Which id to call
mistral/open-mistral-7bThis model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.
From /1M input
$0.28
Mistral AI SAS
Context
33K
tokens
Endpoints
1
1 region
Regions
1
chat
Capabilities 2/8
1 endpoint / 1 region
Providers serving open-mistral-7b
Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.
| Rank | Privacy | ||||||
|---|---|---|---|---|---|---|---|
| 1 | Mistral AI SAS | EU | 33K | $0.28 | $0.28 | $0.28 | zdr |
A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.
model=
Which id to call
One base url, https://router.requesty.ai/v1, and one key for every id here.
mistral/open-mistral-7bThis model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.
OpenAI compatible
Call it in three lines
Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.
123456789101112131415from 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/open-mistral-7b", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)
Artificial Analysis
Benchmark scores
Graduate-level physics, chemistry & biology questions designed to resist Googling.
Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.
Scores from artificialanalysis.ai. They measure the model, not the provider, so they are the same on every endpoint above.
6
More from Mistral AI
Reference
open-mistral-7b questions
Which providers serve open-mistral-7b?
open-mistral-7b is available from 1 provider through Requesty: Mistral AI SAS. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.
How much does open-mistral-7b cost?
Pricing starts at $0.28 per million input tokens and $0.28 per million output tokens on Mistral AI SAS, the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.
Is open-mistral-7b open weights?
Yes. open-mistral-7b is an open-weights model from Mistral AI, which is why multiple inference providers can host it. Provider choice affects price, latency, and data-privacy terms, all compared above.
What is the context window of open-mistral-7b?
open-mistral-7b supports up to 33K tokens of context. Some providers expose a smaller window; check the per-endpoint context column above.
How do I use open-mistral-7b with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "mistral/open-mistral-7b" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.
Route open-mistral-7b through one endpoint
One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.