mistral-nemo
Mistral Nemo is a 12B model with a 128K-token context, built by Mistral in collaboration with NVIDIA. It is multilingual, covering English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese and more.
料金： 入力：100 万トークンあたり 6.96 クレジット（約 $0.03）、出力：100 万トークンあたり 7.2 クレジット（約 $0.04）。
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Mistral AI のほかの AI モデル
Mistral Nemo API on ModelFold
Mistral Nemo is a 12B model with a 128K-token context, built by Mistral in collaboration with NVIDIA. It is multilingual, covering English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese and more. Try Mistral Nemo in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Mistral Nemo API
Mistral Nemo at a glance
Mistral Nemo is a chat model from Mistral AI. It accepts text as input and returns text, with a context window of up to 131K tokens.
Use it without hosting anything
On ModelFold you call Mistral Nemo with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of Mistral Nemo
Up to 131K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Function calling
Mistral Nemo supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use Mistral Nemo on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Mistral Nemo responds before writing any code.
- 2
Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "mistral-nemo" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with Mistral Nemo
Multilingual products
Serve users in many languages with translation, localized support replies and cross-language search.
High-volume pipelines
Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.
Tool-calling backends
Route requests, call functions and chain API calls as the worker model inside larger agent systems.
Frequently Asked Questions
What is Mistral Nemo?⌄
Mistral Nemo is a 12B model with a 128K-token context, built by Mistral in collaboration with NVIDIA. It is multilingual, covering English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese and more.
Which inputs does Mistral Nemo support?⌄
Mistral Nemo accepts text and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.
How long is the context window of Mistral Nemo?⌄
Up to 131K tokens, shared between your input and the model’s output.
Does Mistral Nemo support function calling?⌄
Yes. Mistral Nemo supports tools / function calling through the standard tools parameter of the chat completions API.
How is Mistral Nemo billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call Mistral Nemo through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "mistral-nemo", using your ModelFold API key as the Bearer token.
| 入力 | 6.96 クレジット 1M tokens≈ $0.03 |
| 出力 | 7.2 クレジット 1M tokens≈ $0.04 |
トークン単位で課金し、入力と出力は別料金です。思考トークンは出力に含まれます。Playground でも同じ計算を使います。
API ドキュメントを見る →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"mistral-nemo","messages":[{"role":"user","content":"Hello"}]}'