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mistralai/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, Korean, Arabic, and Hindi. It supports function calling and is released under the Apache 2.0 license.

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Specifications

Context window131K tokens
Max output—
API typechat
AddedJun 10, 2024
Model IDnovita/mistralai/mistral-nemo
Data retentionYes
Used for trainingUnknown
Provider location🇺🇸 US
Privacy policyNovita AI Privacy Policy →

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the Novita AI models overview.

Pricing

Input / 1M
$0.17
Output / 1M
$0.17
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.0187
1M input + 100K output$0.19
10M input + 1M output$1.87

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to novita/mistralai/mistral-nemo.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="novita/mistralai/mistral-nemo",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

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Frequently asked questions

How much does mistralai/mistral-nemo cost?
mistralai/mistral-nemo is priced at $0.17 per million input tokens and $0.17 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of mistralai/mistral-nemo?
mistralai/mistral-nemo has a context window of 131K tokens. That's roughly 175 words of input you can fit in a single prompt.
What can mistralai/mistral-nemo do?
mistralai/mistral-nemo is a text-generation model you can call through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use mistralai/mistral-nemo with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "novita/mistralai/mistral-nemo". The Quickstart above shows Python, JavaScript and cURL snippets.

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