LLMmistralai
Mistral: Mistral Nemo
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,...
Specifications
- Provider
- mistralai
- Category
- llm
- Context length
- 131,072 tokens
- Max output
- —
- Modalities
- text
- License
- proprietary
- Released
- 2024-07-19
Pricing
- Input
- $0.01/Mtok
- Output
- $0.03/Mtok
- Model ID
mistralai/mistral-nemo
Team cost calculator
Estimated monthly spend
$0.28
17.6M tokens / month
5 seats · 80 msgs/day
5 seats · 80 msgs/day
Providers
| Provider | Context | Input | Output | P50 latency | Throughput | 30d uptime |
|---|---|---|---|---|---|---|
| mistralai | 131k | $0.01/Mtok | $0.03/Mtok | — | — | — |
Performance
Performance snapshots are collected daily. Check back after the next ingestion run.
Benchmarks
Works well with
Top MCPs
Compatibility data comes from first-party telemetry; once we have enough co-usage signal, top MCPs for this model will appear here.
How Switchy teams use it
Not enough Spaces have used this model yet to share anonymised team stats. We wait for at least 50 distinct Spaces per week before publishing any aggregate.