Mistral: Mistral Large 2.1

Flagship Mistral model for advanced reasoning, coding, and multilingual work

Model lab: Mistral
Model family: mistral-large

Model resources

Hugging Face

Modalitiestext → text

Context window131,072

Maximum output16,384

InputUSD 1.6 / 1M tokens

OutputUSD 4.8 / 1M tokens

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Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to mistral/mistral-large-2411.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "mistral/mistral-large-2411"

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 Large 2.1 API Pricing

Type	Price information
Input	USD 1.6 / 1M tokens
Output	USD 4.8 / 1M tokens

Benchmarks

Benchmark	Score	Measurement
Artificial Analysis Coding Index	13.8	index · Date: 2026-03-11
SciCode	29.2	percent correct · Date: 2026-03-11
Terminal-Bench Hard	6.1	success rate · Date: 2026-03-11

Performance

Performance trends

Throughput88.3 tok/sCurrent

Time to first token1.2 sCurrent

End-to-end latency7.3 sCurrent

Throughput

Current88.3 tok/s

Window average89.2 tok/s

Time to first token

Current1.2 s

Window average1.4 s

End-to-end latency

Current7.3 s

Window average7.5 s

Tail latency (P99)

Current17.1 s

Window average17.0 s

Prompt cache hit rate

Current19.4%

Window average24.5%

Error rate

Current0.0%

Window average0.1%

Availability

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 Large 2.1 Compare models

Model	Input price	Output price	Context window	Capabilities
Mistral Large 2.1This page	USD 1.6 / 1M tokens	USD 4.8 / 1M tokens	131,072	Text output · Tool calling
Mistral Large 4	USD 0.544 / 1M tokens	USD 1.672 / 1M tokens	1,048,576	Text output · Reasoning · Tool calling
Mistral Large 3	USD 0.4 / 1M tokens	USD 1.2 / 1M tokens	262,144	Text output · Tool calling
Mistral Large 2407	USD 1.6 / 1M tokens	USD 4.8 / 1M tokens	131,072	Text output · Tool calling
Mistral Large (latest)	USD 0.4 / 1M tokens	USD 1.2 / 1M tokens	262,144	Text output · Tool calling

Model specifications

Input: text
Output: text
Context window: 131,072
Maximum output: 16,384
Release date: 2024-11-18
Attachments: No
Reasoning: No
Tool calling: Yes
Temperature setting: Yes
Open weights: Yes

Frequently asked questions

What is Mistral Large 2.1 for?

Flagship Mistral model for advanced reasoning, coding, and multilingual work

What inputs and outputs does Mistral Large 2.1 support?

Recorded inputs: text; outputs: text.

How is Mistral Large 2.1 priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 1.6 / 1M tokens; Output USD 4.8 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Mistral Large 2.1?

Current model records list Context window 131,072 tokens; Maximum output 16,384 tokens.

What model parameter does the Quickstart use?

The example uses mistral/mistral-large-2411. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

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.