mistral-large-2407

completions

On:openroutermistralai

mistral-large-2407

completions

Published by: mistralaiProviders:

openrouter mistralai

This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/). It supports dozens of languages including French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese, and Korean, along with 80+ coding languages including Python, Java, C, C++, JavaScript, and Bash. Its long context window allows precise information recall from large documents.

Provider	Input	Output
openrouter	$2 / 1M tokens	$6 / 1M tokens
mistralai	$2 / 1M tokens	$6 / 1M tokens

Released

Jul 24, 2024

Knowledge

Jan 26, 2024

Context

131072

Input

$2 / 1M tokens

Output

$6 / 1M tokens

Capabilities: tools

Accepts: text

Returns: text

Providers	Context	Input Price	Output Price	Input Formats	Output Formats
openrouter	131072 tokens	$2 / 1M tokens	$6 / 1M tokens	text	text
mistralai	128K tokens	$2 / 1M tokens	$6 / 1M tokens	text	text

Released Jul 24, 2024Knowledge Cutoff: Jan 26, 2024

Access mistral-large-2407 through LangDB AI Gateway

Recommended

Integrate with mistralai's mistral-large-2407 and 250+ other models through a unified API. Monitor usage, control costs, and enhance security.

Unified API

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Free tier available • No credit card required

Instant Setup

99.9% Uptime

10,000+Monthly Requests

Available from 2 providers

Provider:

Benchmark Results for mistral-large-2407

Category Performance Scores:

Academia: Score 34.75 (Top 62% - Rank #214)
Finance: Score 11.15 (Top 96% - Rank #332)
Marketing: Score 31.15 (Top 84% - Rank #290)
Maths: Score 0.00 (Top 98% - Rank #339)
Programming: Score 26.90 (Top 57% - Rank #197)
Science: Score 50.52 (Top 66% - Rank #228)
Writing: Score 32.38 (Top 87% - Rank #301)

Overall Performance: 26.690952380952382 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
AIME	9.30	Top 65%	Mathematics
AA Coding Index	26.90	Top 57%	Programming
AAII	22.30	Top 62%	General
AA Math Index	0.00	Top 98%	Mathematics
GPQA	47.20	Top 62%	STEM (Physics, Chemistry, Biology)
HLE	3.20	Top 98%	General Knowledge
LiveCodeBench	26.70	Top 60%	Programming
MATH-500	71.40	Top 60%	Mathematics
MMLU-Pro	68.30	Top 62%	General Knowledge
SciCode	27.10	Top 49%	Scientific

GPQA Score: 47.20 - Graduate-level reasoning benchmark

Model Comparison:

Provider: openrouter

Model Type: completions

Context Size: 131072 tokens

Comparing against 345 models in the database

Category Scores

Benchmark Tests

View Other Benchmarks

AIME

9.3

Mathematics

AA Coding Index

26.9

Programming

AAII

22.3

General

AA Math Index

0.0

Mathematics

GPQA

47.2

STEM (Physics, Chemistry, Biology)

HLE

3.2

General Knowledge

LiveCodeBench

26.7

Programming

MATH-500

71.4

Mathematics

MMLU-Pro

68.3

General Knowledge

SciCode

27.1

Scientific

Metric	AIME	AA Coding Index	AAII	AA Math Index	GPQA	HLE	LiveCodeBench	MATH-500	MMLU-Pro	SciCode
Score	9.3	26.9	22.3	0.0	47.2	3.2	26.7	71.4	68.3	27.1

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Code Examples

Integration samples and API usage

Code Samples for mistral-large-2407

Python SDK Example:

from openai import OpenAI

client = OpenAI(
    base_url="https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    api_key="<your_api_key>"
)

response = client.chat.completions.create(
    model="mistral-large-2407",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ]
)

print(response.choices[0].message.content)

TypeScript SDK Example:

import OpenAI from 'openai';

const client = new OpenAI({
    baseURL: "https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    apiKey: "<your_api_key>"
});

const response = await client.chat.completions.create({
    model: "mistral-large-2407",
    messages: [
        { role: "user", content: "Hello, how are you?" }
    ]
});

console.log(response.choices[0].message.content);

cURL Example:

curl -X POST "https://api.us-east-1.langdb.ai/projects/<your_project_id>/v1/chat/completions" \
  -H "Authorization: Bearer <your_api_key>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistral-large-2407",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: mistral-large-2407

Provider: openrouter

API Endpoint: $https://api.us-east-1.langdb.ai

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mistral-large-2407 by openrouter - AI Model Details, Pricing, and Performance Metrics

mistral-large-2407

mistral-large-2407

Access mistral-large-2407 through LangDB AI Gateway

Category Scores

Benchmark Tests

Compare with Similar Models

Code Examples

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