← Back to Models
⚖️

Mistral MediumvsMistral Small

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

Mistral Small leads 3/5 categories

Head-to-Head Comparison

MetricMistral MediumMistral Small
Provider
Arena Rank
#16
#19
Context Window
128K
32K
Input Pricing
$0.40/1M tokens
$0.20/1M tokens
Output Pricing
$2.00/1M tokens
$0.60/1M tokens
Parameters
Undisclosed
22B
Open Source
No
Yes
Best For
Enterprise tasks, European languages
Fast inference, cost-effective tasks, chat
Release Date
Jan 15, 2025
Sep 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 Small

Mistral Small is Mistral AI's efficient model optimized for low-latency, cost-effective deployments. At 22 billion parameters with a 32K context window, it delivers strong performance for everyday tasks including summarization, classification, and conversational AI. It offers an excellent balance between capability and cost, making it suitable for high-volume production applications where fast response times matter.

View Mistral AI profile →

Key Differences: Mistral Medium vs Mistral Small

1

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

2

Mistral Small is 3.0x cheaper on average, making it the better choice for high-volume applications.

3

Mistral Medium supports a larger context window (128K), allowing it to process longer documents in a single request.

4

Mistral Small 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 need to process long documents (128K context)
  • +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 Small

  • +Budget is a concern and you need cost efficiency
  • +You need to self-host or fine-tune the model
  • +Your use case involves fast inference, cost-effective tasks, chat
View full Mistral Small specs →

Cost Analysis

At current pricing, Mistral Small is 3.0x 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 Small monthly cost

$40

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

The Verdict

Mistral Small wins our head-to-head comparison with 3 out of 5 category wins. It's the stronger choice for fast inference, cost-effective tasks, chat, 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 Small?
In our head-to-head comparison, Mistral Small leads in 3 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Mistral Small excels at fast inference, cost-effective tasks, chat, 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 Small?
Mistral Medium charges $0.40 per 1M input tokens and $2.00 per 1M output tokens. Mistral Small charges $0.20 per 1M input tokens and $0.60 per 1M output tokens. Mistral Small is the more affordable option, approximately 3.0x 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 Small?
Mistral Medium supports a 128K token context window, while Mistral Small supports 32K tokens. Mistral Medium can process longer documents, codebases, and conversations in a single request. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Mistral Medium or Mistral Small for free?
Mistral Medium is a paid API model starting at $0.40 per 1M input tokens. Mistral Small is a paid API model starting at $0.20 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 Small?
Mistral Medium holds arena rank #16, while Mistral Small holds rank #19. 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 Small better for coding?
Mistral Medium's primary strength is enterprise tasks, european languages. Mistral Small's primary strength is fast inference, cost-effective tasks, chat. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.