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, Korean, Arabic, and Hindi. It supports function calling and is released under the Apache 2.0 license.
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, Korean, Arabic, and Hindi. It supports function calling and is released under the Apache 2.0 license.
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 |
| Instruction format | 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 | $2e-8 | $0.02 / 1M | Per input token |
| Completion tokens | $4e-8 | $0.04 / 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 $0.04 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.