mistral-nemo

completions

bydeepinfra

mistral-nemo

completions

Published by: mistralaiProvider:

deepinfra

A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, and Hindi. It supports function calling and is released under the Apache 2.0 license.

Released

Jul 18, 2024

Knowledge

Jan 20, 2024

License

Apache-2.0

Context

131072

Input

$0.02 / 1M tokens

Output

$0.04 / 1M tokens

Accepts: text

Returns: text

Released Jul 18, 2024Knowledge Cutoff: Jan 20, 2024License: Apache-2.0

Context: 131072 Input: $0.02 / 1M tokensOutput: $0.04 / 1M tokensAccepts: textReturns: text

Access mistral-nemo through LangDB AI Gateway

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Benchmark Results for mistral-nemo

Category Performance Scores:

Science: Score 31.71 (Top 95% - Rank #304)
Writing: Score 30.25 (Top 91% - Rank #292)
Academia: Score 18.30 (Top 97% - Rank #311)
Marketing: Score 30.16 (Top 89% - Rank #285)

Overall Performance: 27.604513888888892 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
HLE	4.40	Top 63%	General Knowledge
AIME	0.30	Top 93%	Mathematics
GPQA	31.40	Top 92%	STEM (Physics, Chemistry, Biology)
MMLU	68.00	Top 92%	General Knowledge
SciCode	10.40	Top 92%	Scientific
MATH-500	39.50	Top 96%	Mathematics
MMLU-Pro	39.90	Top 95%	General Knowledge
LiveCodeBench	5.70	Top 98%	Programming
AAII	5.20	Top 98%	General

MMLU Score: 68.00 - Massive Multitask Language Understanding benchmark

GPQA Score: 31.40 - Graduate-level reasoning benchmark

Model Comparison:

Provider: deepinfra

Model Type: completions

Context Size: 131072 tokens

Comparing against 320 models in the database

Performance Analytics for mistral-nemo

Usage Statistics (Last 2 Days):

Total Requests: 446 API calls
Average TPS: 142.59 tokens per second
Average Response Time: 3989.70ms
Average Time to First Token: 3989.70ms
Total Cost: $0.01
Average Request Cost: $0.0000

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
11/12/2025	413	205.45	2240.70ms	2240.70ms	$0.00
11/13/2025	33	74.47	25878.30ms	25878.30ms	$0.00

Performance Summary:

Model: mistral-nemo by deepinfra

Monitoring Period: 11/11/2025 to 11/18/2025

Average Daily Requests: 223

Peak Daily Requests: 413

Statistics

View Full Statistics

Request Volume

Daily API requests

446

Performance (TPS)

Tokens per second

142.59 tokens/s

Category Scores

Benchmark Tests

View Other Benchmarks

HLE

4.4

General Knowledge

AIME

0.3

Mathematics

GPQA

31.4

STEM (Physics, Chemistry, Biology)

MMLU

68.0

General Knowledge

SciCode

10.4

Scientific

MATH-500

39.5

Mathematics

MMLU-Pro

39.9

General Knowledge

LiveCodeBench

5.7

Programming

AAII

5.2

General

Metric	HLE	AIME	GPQA	MMLU	SciCode	MATH-500	MMLU-Pro	LiveCodeBench	AAII
Score	4.4	0.3	31.4	68.0	10.4	39.5	39.9	5.7	5.2

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Code Examples

Integration samples and API usage

Code Samples for mistral-nemo

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

Model: mistral-nemo

Provider: deepinfra

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

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mistral-nemo by deepinfra - AI Model Details, Pricing, and Performance Metrics

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