Mistral Large 2411

Mistral chattool_use

API ID: mistralai/mistral-large-2411

Input Price
$2.00
/1M tokens
Output Price
$6.00
/1M tokens

About Mistral Large 2411

Mistral Large 2 2411 is an update of [Mistral Large 2](/mistralai/mistral-large) released together with [Pixtral Large 2411](/mistralai/pixtral-large-2411) It provides a significant upgrade on the previous [Mistral Large 24.07](/mistralai/mistral-large-2407), with notable improvements in long context understanding, a new system prompt, and more accurate function calling.

๐Ÿ’ฐ
Price Ranking
#1097 lowest price among 1240 Chat models

Model Specifications

Context Length
131k
Max Output
โ€”
Release Date
2024-11-19
Capabilities
chat tool_use
Input Modalities
text
Output Modalities
text

Best For

  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$2.70
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$84.00
/month
1000 tickets/day, ~800 tokens each

Mistral Model Lineup

Compare all models from Mistral to find the best fit

Model Input Output Context Capabilities
Mistral Large 2411 Current Free Free 131k chat tool_use
Pixtral 12B Free Free 4k chat vision
Mistral 7B Instruct v0.3 Free Free 33k chat
Mistral 7B Instruct Free Free 33k chat
Mixtral 8x22B (base) Free Free 66k chat
Mixtral 8x22B (base) Free Free 66k chat

Similar Models from Other Providers

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Output: $5.00
Context: 16k
Meta Llama 3.1 405B (base)
Input: $4.00
Output: $4.00
Context: 33k
Meta Llama 3.1 405B Instruct
Input: $4.00
Output: $4.00
Context: 131k
Alibaba Qwen Qwen3.8 Max
Input: $2.00
Output: $6.00
Context: 1.0M

๐Ÿš€ Quick Start

Get started with Mistral Large 2411 API

OpenAI-compatible SDK
from openai import OpenAI

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

response = client.chat.completions.create(
    model="mistralai/mistral-large-2411",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)