Mistral: Pixtral Large (25.02)

Mistral vision-language model for image understanding and multimodal chat

Model lab: Mistral
Model family: pixtral

Modalitiestext, image → text

Context window128,000

Maximum output8,192

InputUSD 1.5944 / 1M tokens

OutputUSD 4.7824 / 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/pixtral-large-2502.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "mistral/pixtral-large-2502"

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.

Pixtral Large (25.02) API Pricing

Type	Price information
Input	USD 1.5944 / 1M tokens
Output	USD 4.7824 / 1M tokens

Performance

Performance trends

Throughput91.5 tok/sCurrent

Time to first token1.4 sCurrent

End-to-end latency7.9 sCurrent

Throughput

Current91.5 tok/s

Window average89.0 tok/s

Time to first token

Current1.4 s

Window average1.4 s

End-to-end latency

Current7.9 s

Window average7.5 s

Tail latency (P99)

Current13.1 s

Window average16.7 s

Prompt cache hit rate

Current19.1%

Window average24.0%

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

Pixtral Large (25.02) Compare models

Model	Input price	Output price	Context window	Capabilities
Pixtral Large (25.02)This page	USD 1.5944 / 1M tokens	USD 4.7824 / 1M tokens	128,000	Text output · Tool calling
Pixtral Large (latest)	USD 1.6 / 1M tokens	USD 4.8 / 1M tokens	128,000	Text output · Tool calling
Pixtral 12B	USD 0.12 / 1M tokens · Context ≤ 128000 tokens · Maximum output 4000 tokens	USD 0.12 / 1M tokens · Context ≤ 128000 tokens · Maximum output 4000 tokens	128,000	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 Medium (latest)	USD 0.32 / 1M tokens	USD 1.6 / 1M tokens	262,144	Text output · Reasoning · Tool calling

Model specifications

Input: text, image
Output: text
Context window: 128,000
Maximum output: 8,192
Release date: 2025-04-08
Attachments: Yes
Reasoning: No
Tool calling: Yes
Temperature setting: Yes
Open weights: No

Frequently asked questions

What is Pixtral Large (25.02) for?

Mistral vision-language model for image understanding and multimodal chat

What inputs and outputs does Pixtral Large (25.02) support?

Recorded inputs: text, images; outputs: text.

How is Pixtral Large (25.02) priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 1.5944 / 1M tokens; Output USD 4.7824 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Pixtral Large (25.02)?

Current model records list Context window 128,000 tokens; Maximum output 8,192 tokens.

What model parameter does the Quickstart use?

The example uses mistral/pixtral-large-2502. 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.