Mistral: Mistral Nemo

Public pricingIntelligence 65/100Medium memoryटूल उपयोग

Mistral: Mistral Nemo एक टेक्स्ट मॉडल है, जिसे सामान्य चैट, विश्लेषण और production use के लिए बनाया गया है। यह स्थिर general-purpose प्रदर्शन, 131K tokens का context और कम लागत profile जोड़कर general chat, analysis, and production workloads में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

Input

$0.02/1M

Output

$0.04/1M

Cached

$0.00/1M

Batch

$0.01/1M

Calculate your Mistral Nemo bill.

Set your workload — see cost at your exact volume.

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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