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Mistral NemovsMistral Medium

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

Mistral Nemo leads 3/5 categories

Head-to-Head Comparison

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

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.

View Mistral AI profile →

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.

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Key Differences: Mistral Nemo vs Mistral Medium

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 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 →
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 →

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 Nemo monthly cost

$30

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

Mistral Medium monthly cost

$120

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 Nemo or Mistral Medium?
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 Nemo pricing compare to Mistral Medium?
Mistral Nemo charges $0.30 per 1M input tokens and $0.30 per 1M output tokens. Mistral Medium charges $0.40 per 1M input tokens and $2.00 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 Nemo and Mistral Medium?
Mistral Nemo supports a 128K token context window, while Mistral Medium supports 128K tokens. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Mistral Nemo or Mistral Medium for free?
Mistral Nemo is a paid API model starting at $0.30 per 1M input tokens. Mistral Medium is a paid API model starting at $0.40 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 Nemo or Mistral Medium?
Mistral Nemo holds arena rank #27, while Mistral Medium holds rank #16. 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 Nemo or Mistral Medium better for coding?
Mistral Nemo's primary strength is lightweight tasks, drop-in replacement. Mistral Medium's primary strength is enterprise tasks, european languages. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.