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Mistral MediumvsMistral Nemo

Mistral AI vs Mistral AI — Side-by-side model comparison

Mistral Nemo leads 3/5 categories

Head-to-Head Comparison

MetricMistral MediumMistral Nemo
Provider
Arena Rank
#16
#27
Context Window
128K
128K
Input Pricing
$0.40/1M tokens
$0.30/1M tokens
Output Pricing
$2.00/1M tokens
$0.30/1M tokens
Parameters
Undisclosed
12B
Open Source
No
Yes
Best For
Enterprise tasks, European languages
Lightweight tasks, drop-in replacement
Release Date
Jan 15, 2025
Jul 18, 2024

Mistral Medium

Mistral Medium is Mistral AI's mid-tier model offering a balanced combination of performance and cost-efficiency. Built in Europe with strong multilingual support, it handles enterprise tasks, code generation, and structured data extraction competently. With a 128K context window and competitive pricing, it serves as a practical choice for production applications that need reliable performance without the cost of Mistral Large. The model is particularly strong in European languages, making it popular among EU-based organizations prioritizing data sovereignty.

View Mistral AI profile →

Mistral Nemo

Mistral Nemo is a compact 12B parameter model co-developed by Mistral AI and Nvidia, designed as a high-performance drop-in replacement for smaller models. Despite its size, it delivers performance significantly above its weight class on coding, reasoning, and multilingual tasks. As an open-source model, it can be self-hosted on a single GPU, making it ideal for organizations with limited compute resources or strict data privacy requirements. Its small size enables fast inference and low-cost deployment while maintaining the quality standards of the Mistral model family.

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Key Differences: Mistral Medium vs Mistral Nemo

1

Mistral Medium ranks higher in arena benchmarks (#16) indicating stronger overall performance.

2

Mistral Nemo is 4.0x cheaper on average, making it the better choice for high-volume applications.

3

Mistral Nemo is open-source (free to self-host and fine-tune) while Mistral Medium is proprietary (API-only access).

M

When to use Mistral Medium

  • +You need the highest quality output based on arena rankings
  • +Quality matters more than cost
  • +You prefer a managed API without infrastructure overhead
  • +Your use case involves enterprise tasks, european languages
View full Mistral Medium specs →
M

When to use Mistral Nemo

  • +Budget is a concern and you need cost efficiency
  • +You need to self-host or fine-tune the model
  • +Your use case involves lightweight tasks, drop-in replacement
View full Mistral Nemo specs →

Cost Analysis

At current pricing, Mistral Nemo is 4.0x more affordable than Mistral Medium. For a typical enterprise workload processing 100M tokens per month:

Mistral Medium monthly cost

$120

100M tokens/mo (50/50 in/out)

Mistral Nemo monthly cost

$30

100M tokens/mo (50/50 in/out)

The Verdict

Mistral Nemo wins our head-to-head comparison with 3 out of 5 category wins. It's the stronger choice for lightweight tasks, drop-in replacement, though Mistral Medium holds an edge in enterprise tasks, european languages.

Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages

Frequently Asked Questions

Which is better, Mistral Medium or Mistral Nemo?
In our head-to-head comparison, Mistral Nemo leads in 3 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Mistral Nemo excels at lightweight tasks, drop-in replacement, while Mistral Medium is better suited for enterprise tasks, european languages. The best choice depends on your specific requirements, budget, and use case.
How does Mistral Medium pricing compare to Mistral Nemo?
Mistral Medium charges $0.40 per 1M input tokens and $2.00 per 1M output tokens. Mistral Nemo charges $0.30 per 1M input tokens and $0.30 per 1M output tokens. Mistral Nemo is the more affordable option, approximately 4.0x cheaper on average. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between Mistral Medium and Mistral Nemo?
Mistral Medium supports a 128K token context window, while Mistral Nemo supports 128K tokens. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Mistral Medium or Mistral Nemo for free?
Mistral Medium is a paid API model starting at $0.40 per 1M input tokens. Mistral Nemo is a paid API model starting at $0.30 per 1M input tokens. Open-source models can be self-hosted for free but require your own GPU infrastructure.
Which model has better benchmarks, Mistral Medium or Mistral Nemo?
Mistral Medium holds arena rank #16, while Mistral Nemo holds rank #27. Mistral Medium performs better in overall arena benchmarks, which aggregate human preference ratings across coding, reasoning, and general tasks. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Mistral Medium or Mistral Nemo better for coding?
Mistral Medium's primary strength is enterprise tasks, european languages. Mistral Nemo's primary strength is lightweight tasks, drop-in replacement. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.