Mistral Large 4

Chat Completions

mistral-large-4-0

MistralAI|Created Oct 6, 2026|524.3k context

Chat Completions

Mistral Large 4 is a state-of-the-art, open-weight, general-purpose multimodal model with a granular Mixture-of-Experts architecture, built for reasoning, coding, and agentic workloads.

Overview Specifications Activity Performance Uptime Examples API Reference

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Pricing-50%

Pay-as-you-go rates for this model. More details in the billing guide.

Input Tokens (1M)

$0.34

Cached Input Tokens (1M)

$0.04

Output Tokens (1M)

$1.04

Capabilities

Input Modalities

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Output Modalities

Text

Supported Parameters

Available parameters for API requests

Frequency PenaltyMax Completion TokensParallel Tool CallsPredictionPresence PenaltyResponse FormatStopTemperatureTool ChoiceToolsTop PLogit BiasReasoning Effort

Usage Analytics

Token usage of this model on our platform

Not enough activity data to display a chart

Throughput

Not enough throughput data

Time-To-First-Token (TTFT)

Not enough TTFT data

Code Example

Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.

Basic request example. Ensure API key permissions. For more details, see our documentation.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.naga.ac/v1",
    api_key="YOUR_API_KEY",
)

resp = client.chat.completions.create(
    model="mistral-large-4-0",
    messages=[
        {"role": "user", "content": "What's 2+2?"}
    ],
    temperature=0.2,
)
print(resp.choices[0].message.content)