Mistral: Mistral Nemo✓ Catalog verified
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,...
Overview
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,...
Access: available through the official Mistral AI API. Context window: 131K.
Specifications
| API identifier | mistralai/mistral-nemo |
| Provider | Mistral AI |
| Model type | Text LLM |
| Context window | 131K catalog |
| Input modalities | text |
| Output modalities | text |
| Released | Jul 19, 2024 |
| Tokenizer | Mistral |
| Moderated | No |
| Architecture modality | text->text |
API defaults
{
"temperature": 0.3
}Pricing
Live pricing components for mistralai/mistral-nemo as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $1.9e-8 | $0.02 / 1M | Per input token |
| Completion tokens | $3e-8 | $0.03 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$0.02Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | Not advertised | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | ✓ Supported | Supports tools / function calling |
| Self-Hosting | ✓ Supported | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call Mistral: Mistral Nemo through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="mistralai/mistral-nemo",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| AionLabs: Aion-1.0 | Aion Labs | 131K | $4.00 | View → |
| AionLabs: Aion-1.0-Mini | Aion Labs | 131K | $0.70 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Mistral: Mistral Nemo cost?
$0.02 per 1M input tokens and $0.03 per 1M output tokens on the official Mistral AI API.
What is the context window of Mistral: Mistral Nemo?
Mistral: Mistral Nemo supports up to 131K tokens of context.
Does Mistral: Mistral Nemo support tool / function calling?
Yes, Mistral: Mistral Nemo supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access Mistral: Mistral Nemo?
Use the official Mistral AI API with the model id `mistralai/mistral-nemo`. See the Quick start section above for code examples.