Mistral: Mistral Nemo · Mistral
Mistral Nemo is an advanced 12B parameter model developed by Mistral in collaboration with NVIDIA. It features an extended 128k token context length and comprehensive multilingual support for English, French, German, Spanish, Italian, Portuguese, Chinese, and Japanese.
About Mistral: Mistral Nemo
Mistral Nemo is an advanced 12B parameter model developed by Mistral in collaboration with NVIDIA. It features an extended 128k token context length and comprehensive multilingual support for English, French, German, Spanish, Italian, Portuguese, Chinese, and Japanese.
Where it shines: Extended 128k token context · Native multilingual support · Mistral-NVIDIA collaboration.
How to use Mistral: Mistral Nemo
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Type or upload
Type what you want in the box above — or upload the file if the tool asks for one.
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Generate
Click the main button. Wait 2-30 seconds depending on the model and input size.
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Download or share
Download the result or share the direct link. No watermark, ready to use.
Frequently asked questions
How much does it cost to use Mistral: Mistral Nemo?
Mistral: Mistral Nemo is a Pro model: it costs 10 tokens per use (~$0.05 real cost for us). You need a Pro plan ($9/month → 15,000 tokens) or a one-shot pack. If you already have tokens in the free account, you can also spend them directly.
How many uses of Mistral: Mistral Nemo come into the Pro plan?
Pro ($9/month) gives you 15,000 recurring tokens. At 10 tokens per Mistral: Mistral Nemo use, that's ~1,500 full uses per cycle. If you run out, one-shot packs (5,000 / 25,000 / 80,000 tokens) add to the balance without expiring before one year.
What makes Mistral special: Mistral Nemo?
Mistral AI (Paris) builds efficient models with a focus on European multilingualism and GDPR compliance, with concrete strengths such as 128k tokens extended context, native multilanguage support and mistral-nvidia collaboration.
How fast does Mistral respond: Mistral Nemo?
Mistral: Mistral Nemo has a balanced speed: 5-15 seconds per response — neither the fastest nor the slowest in the catalog. The actual time also depends on the length of the prompt and the load of the datacenter — models with huge context take longer when you enter very long texts.
How do I use Mistral: Mistral Nemo in ia.gratis?
You can use Mistral: Mistral Nemo from /chat/ by selecting Mistral: Mistral Nemo in the picker, or via the REST API with `model=mistral-nemo` in the POST body. Quick summary: 12B parameter Mistral Nemo model with 128k token context and multilanguage support. The internal model identifier is `mistral-nemo` — useful when integrating by API.