Mistral Nemo
Open weightToolsMistral · Released July 2024 · Knowledge cutoff April 2024
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...
It belongs to Mistral's catalog, which spans Medium (capability), Small and Ministral (efficiency) and dedicated code models, all with European data-residency roots.
Facts and pricing
- Provider
- Mistral
- Context window
- 131K tokens
- Input price
- 0.22 credits / 1M tokens ($0.020 raw)
- Output price
- 0.33 credits / 1M tokens ($0.030 raw)
- Vision (image input)
- No
- Tool calling
- Yes
- Extended reasoning
- No
Credits are what Zeplik bills: 1 credit = $0.10, computed from the raw provider rate with a 1.10x margin. Raw prices shown per 1M tokens.
Try Mistral Nemo now
What Mistral Nemo is best for
- Everyday chat and drafting on an open-weight model with transparent lineage
- Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows
Example prompts
Prompts that suit a open weight model like Mistral Nemo:
- Draft a project update from these rough notes
- Explain how HTTPS works to a curious teenager
- Turn this list of features into a changelog entry
- Brainstorm objections to this proposal and how to answer them
Mistral family
| Model | Context | Input cr/M | Output cr/M | Released |
|---|---|---|---|---|
| Mistral Medium 3.5 | 262K | 16.5 | 82.5 | April 2026 |
| Mistral Small 4 | 262K | 1.7 | 6.6 | March 2026 |
| Devstral 2 2512 | 262K | 4.4 | 22.0 | December 2025 |
| Ministral 3 14B 2512 | 262K | 2.2 | 2.2 | December 2025 |
| Ministral 3 8B 2512 | 262K | 1.7 | 1.7 | December 2025 |
| Ministral 3 3B 2512 | 131K | 1.1 | 1.1 | December 2025 |
| Mistral Large 3 2512 | 262K | 5.5 | 16.5 | December 2025 |
| Voxtral Small 24B 2507 | 32K | 1.1 | 3.3 | October 2025 |
| Mistral Medium 3.1 | 131K | 4.4 | 22.0 | August 2025 |
| Codestral 2508 | 256K | 3.3 | 9.9 | August 2025 |
Frequently asked questions
- What is Mistral Nemo?
- Mistral Nemo is an AI model by Mistral. A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...
- How much does Mistral Nemo cost on Zeplik?
- Input tokens cost 0.22 credits per million and output tokens 0.33 credits per million (1 credit = $0.10; the raw provider rates are $0.020 and $0.030 per million). New accounts start with free credits.
- How long can a conversation with Mistral Nemo be?
- Mistral Nemo has a 131K-token context window (131,072 tokens), which covers the conversation plus any documents you attach.
- Does Mistral Nemo support images and tools?
- Mistral Nemo is text-only and supports tool calling.
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