mistral-large-2.1

completions

bymistralai

mistral-large-2.1

completions

Published by: mistralaiProvider:

mistralai

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.

Released

Feb 26, 2024

Knowledge

Aug 30, 2023

Context

128K

Input

$2 / 1M tokens

Output

$6 / 1M tokens

Capabilities: tools

Accepts: text

Returns: text

Released Feb 26, 2024Knowledge Cutoff: Aug 30, 2023

Context: 128K Input: $2 / 1M tokensOutput: $6 / 1M tokensCapabilities: toolsAccepts: textReturns: text

Access mistral-large-2.1 through LangDB AI Gateway

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Benchmark Results for mistral-large-2.1

Category Performance Scores:

Science: Score 37.96 (Top 88% - Rank #282)
Writing: Score 36.96 (Top 77% - Rank #247)
Academia: Score 23.50 (Top 89% - Rank #285)
Marketing: Score 39.55 (Top 70% - Rank #224)

Overall Performance: 34.49138888888889 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
HLE	3.40	Top 93%	General Knowledge
AIME	0.00	Top 94%	Mathematics
GPQA	35.10	Top 87%	STEM (Physics, Chemistry, Biology)
SciCode	20.80	Top 77%	Scientific
MATH-500	52.70	Top 89%	Mathematics
MMLU-Pro	51.50	Top 88%	General Knowledge
LiveCodeBench	17.80	Top 80%	Programming
AAII	11.90	Top 91%	General

GPQA Score: 35.10 - Graduate-level reasoning benchmark

Model Comparison:

Provider: mistralai

Model Type: completions

Context Size: 128000 tokens

Comparing against 320 models in the database

Category Scores

Benchmark Tests

View Other Benchmarks

HLE

3.4

General Knowledge

AIME

0.0

Mathematics

GPQA

35.1

STEM (Physics, Chemistry, Biology)

SciCode

20.8

Scientific

MATH-500

52.7

Mathematics

MMLU-Pro

51.5

General Knowledge

LiveCodeBench

17.8

Programming

AAII

11.9

General

Metric	HLE	AIME	GPQA	SciCode	MATH-500	MMLU-Pro	LiveCodeBench	AAII
Score	3.4	0.0	35.1	20.8	52.7	51.5	17.8	11.9

Compare with Similar Models

Code Examples

Integration samples and API usage

Code Samples for mistral-large-2.1

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-2.1",
    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-2.1",
    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-2.1",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: mistral-large-2.1

Provider: mistralai

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

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