Mistral: Mistral Nemo

Efficient Mistral-NVIDIA open model for multilingual chat and local deployment

Model lab: Mistral
Model family: mistral-nemo

Model resources

Hugging Face

Modalitiestext → text

Context window128,000

Maximum output128,000

InputUSD 0.016 / 1M tokens

OutputUSD 0.024 / 1M tokens

Try now View docs

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to moduck/mistral-ai/mistral-nemo.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moduck/mistral-ai/mistral-nemo"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

Mistral Nemo API Pricing

Type	Price information
Input	USD 0.016 / 1M tokens
Output	USD 0.024 / 1M tokens
Cached input	USD 0.016 / 1M tokens
Cache write	USD 0.016 / 1M tokens

Performance

Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.

Performance trends

Throughput87.9 tok/sCurrent

Time to first token1.5 sCurrent

End-to-end latency7.0 sCurrent

Throughput

Current87.9 tok/s

Window average89.7 tok/s

Time to first token

Current1.5 s

Window average1.4 s

End-to-end latency

Current7.0 s

Window average7.5 s

Tail latency (P99)

Current16.2 s

Window average16.3 s

Prompt cache hit rate

Current18.3%

Window average24.5%

Error rate

Current0.0%

Window average0.1%

Availability

Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.

Uptime100%At least one provider responded

Availability100%Requests actually served

Error rate0%Share of failed requests

Served requests, hour by hour

24 hours agoNow

Mistral Nemo Compare models

Model	Input price	Output price	Context window	Capabilities
Mistral NemoThis page	USD 0.016 / 1M tokens	USD 0.024 / 1M tokens	128,000	Text output · Tool calling
Devstral 2	USD 0.32 / 1M tokens	USD 1.6 / 1M tokens	262,144	Text output · Tool calling
Devstral 2 (latest)	USD 0.32 / 1M tokens	USD 1.6 / 1M tokens	262,144	Text output · Tool calling
Codestral 25.08	USD 0.24 / 1M tokens	USD 0.72 / 1M tokens	128,000	Text output · Tool calling
Magistral Small	USD 0.4 / 1M tokens · Context ≤ 128000 tokens · Maximum output 64000 tokens	USD 1.2 / 1M tokens · Context ≤ 128000 tokens · Maximum output 64000 tokens	131,072	Text output · Reasoning · Tool calling

Model specifications

Input: text
Output: text
Context window: 128,000
Maximum output: 128,000
Release date: 2024-07-01
Attachments: No
Reasoning: No
Tool calling: Yes
Temperature setting: Yes
Open weights: Yes

Frequently asked questions

What is Mistral Nemo for?

Efficient Mistral-NVIDIA open model for multilingual chat and local deployment

What inputs and outputs does Mistral Nemo support?

Recorded inputs: text; outputs: text.

How is Mistral Nemo priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.016 / 1M tokens; Output USD 0.024 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Mistral Nemo?

Current model records list Context window 128,000 tokens; Maximum output 128,000 tokens.

What model parameter does the Quickstart use?

The example uses moduck/mistral-ai/mistral-nemo. This is a cataloged Moduck public or reserved ID; check your account’s available models before calling it.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.