Mistral: Mistral Nemo

Public pricingIntelligence 65/100Medium memoryUso de herramientas

Mistral: Mistral Nemo es un modelo texto pensado para chat general, análisis y uso en producción. Combina un rendimiento general estable, un contexto de 131K tokens y un perfil bajo costo para trabajar con fiabilidad en general chat, analysis, and production workloads.

Input

$0.02/1M

Output

$0.04/1M

Cached

$0.00/1M

Batch

$0.01/1M

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What would Mistral Nemo cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Mistral Nemo at a glance.

Memory

131,072

tokens

Max reply

16,384

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

mistral

Released

Jul 2024

Training cutoff

Apr 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • bbh

    29.68

  • ifeval

    63.8

  • mmlu_pro

    27.97

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Mistral Nemo

  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Mistral Nemo — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Mistral Nemo costs roughly $3 per month. Input is $0.02 /1M tokens and output is $0.04 /1M tokens.
Mistral Nemo has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Beyond text generation, Mistral Nemo supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Mistral Nemo was released in July 2024, with training data cut off around April 2024.
Models in a similar class include Mistral Small 3, Mistral Small 3.2 24B, Devstral Small 1.1. The "Similar models" section below this FAQ links into each.

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