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Mistral Nemotron

Mistral and NVIDIA's joint instruct model: excellent function calling, 80+ languages and consistently low latency for production chat.

mistralai/mistral-nemotron
Running· verified 11 min ago · 735ms

What is Mistral Nemotron?

Mistral Nemotron is Mistral AI's chat model. Mistral and NVIDIA's joint instruct model: excellent function calling, 80+ languages and consistently low latency for production chat. It runs on Speka's OpenAI-compatible /v1/chat/completions endpoint at $0.30 / 1M input and $0.30 / 1M output tokens, using the model ID mistralai/mistral-nemotron.

Test it live

Live playgroundMistral Nemotronin-browser demo

Test Mistral Nemotron live

Send a message and watch the model respond. Multi-turn — it remembers the conversation.

How to call Mistral Nemotron via the API

Speka exposes Mistral Nemotron on an OpenAI-compatible /v1/chat/completions endpoint. Point any OpenAI SDK at https://speka.me/v1, set model to mistralai/mistral-nemotron, and your existing code runs unchanged.

quickstart.py
from openai import OpenAI

client = OpenAI(
    base_url="https://speka.me/v1",
    api_key="sk-speka-live-...",  # your Speka key
)

resp = client.chat.completions.create(
    model="mistralai/mistral-nemotron",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)
FAQ

Frequently asked questions

Mistral Nemotron is Mistral AI's chat model. Mistral and NVIDIA's joint instruct model: excellent function calling, 80+ languages and consistently low latency for production chat. It is available on Speka's OpenAI-compatible API using the model ID mistralai/mistral-nemotron.
On Speka, Mistral Nemotron is priced at $0.30 / 1M input and $0.30 / 1M output tokens. Pricing is per-token with no subscription or seat fee — usage is billed against your plan's monthly allowance, then at the same rate with no overage penalty. Rates are current as of June 2026; check the pricing page for updates.
Speka exposes Mistral Nemotron on an OpenAI-compatible /v1/chat/completions endpoint. Set base_url to https://speka.me/v1, supply your Speka key, and set model to "mistralai/mistral-nemotron" in any OpenAI SDK — no other code changes are required.
Mistral Nemotron supports a 128,000-token context window — roughly 96,000 words of input, suitable for long documents, multi-turn agents, and large-context tasks.
Yes. Mistral Nemotron is served through Speka's OpenAI-compatible endpoint, so any application built on the OpenAI Python or Node.js SDK, LangChain, or LlamaIndex can call it by changing only the base URL and model ID.

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