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Mistral: Mistral Nemo

Source description (English)

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,...

View source on OpenRouter Hugging Face
Overview

Model specifications

Context
131,072 tokens
Maximum output
16,384 tokens
Architecture
text->text
Tokenizer
Mistral
Knowledge cutoff
2024-04-30
Moderated
No
OPENROUTER

Complete pricing

Synchronized OpenRouter rates. Token prices are shown per one million tokens.

Input
$0.019
per 1M tokens
Output
$0.03
per 1M tokens
API

Model configuration

Default parameters

temperature
0.3
API

Quick start

Set OPENROUTER_API_KEY locally. Python requires requests; JavaScript runs in Node.js. Keep the key on the server.

API documentation

curl --fail-with-body https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"mistralai/mistral-nemo","messages":[{"role":"user","content":"Hello!"}]}'
Capabilities

Input → Output

Input
text
Output
text
API

Supported API parameters

frequency_penaltylogit_biaslogprobsmax_tokensmin_ppresence_penaltyrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Available providers

4 providers

Checked: September 10, 2026

Live providers on OpenRouter

Provider availability, latency, throughput and routing can change continuously. Open the source page for current operational data.

OpenRouter

DeepInfra

fp8
Context
131K
Maximum output
16K
Input
$0.019
Output
$0.03
Cache read
Not provided
Cache write
Not provided

Parasail

fp8
Context
131K
Maximum output
105K
Input
$0.03
Output
$0.03
Cache read
Not provided
Cache write
Not provided

Novita

fp8
Context
60K
Maximum output
16K
Input
$0.04
Output
$0.17
Cache read
Not provided
Cache write
Not provided

Io Net

fp16
Context
128K
Maximum output
102K
Input
$0.044
Output
$0.16
Cache read
$0.029
Cache write
Not provided
mistralai

4 models

All models
mistralai logomistralai

Mistral: Voxtral Small 24B 2507 STT

Voxtral Small 24B 2507 STT is a speech transcription model from Mistral AI. It is suited for transcription, translation, and audio understanding workloads that benefit from its larger model capacity.

Context
Not provided
Input
audio
Output
transcription
Audio seconds: $0.00005 per second
View model details →
mistralai logomistralai

Mistral: Voxtral Mini 3B 2507

Voxtral Mini 3B 2507 is a speech and audio understanding model from Mistral AI. It is suited for transcription, translation, and compact audio processing workloads.

Context
Not provided
Input
audio
Output
transcription
Audio seconds: $0.000017 per second
View model details →
mistralai logomistralai

Mistral: Voxtral Mini Transcribe

Voxtral Mini Transcribe is Mistral's speech-to-text model, derived from the Voxtral Mini family. It accepts audio input and returns transcribed text via the standard transcription API. Suited for transcribing meetings,...

Context
Not provided
Input
audio
Output
transcription
Audio seconds: $0.00005 per second
View model details →
mistralai logomistralai

Mistral: Mistral Medium 3.5

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...

Context
262K
Input
text · image · file
Output
text
Input: $1.5Output: $7.5per 1M tokens
View model details →