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Mixtral 8x22BvsMistral Medium

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

Mistral Medium leads 3/5 categories

Head-to-Head Comparison

MetricMixtral 8x22BMistral Medium
Provider
Arena Rank
#16
#16
Context Window
64K
128K
Input Pricing
$0.90/1M tokens
$0.40/1M tokens
Output Pricing
$2.70/1M tokens
$2.00/1M tokens
Parameters
176B (39B active)
Undisclosed
Open Source
Yes
No
Best For
Efficient reasoning, multilingual, coding
Enterprise tasks, European languages
Release Date
Apr 17, 2024
Jan 15, 2025

Mixtral 8x22B

Mixtral 8x22B is Mistral AI's large mixture-of-experts model that uses a sparse architecture to achieve strong performance while activating only a fraction of its total parameters per token. With 176 billion total parameters but only 39 billion active per forward pass, it delivers efficiency that makes it practical to deploy despite its size. It features a 64K context window and excels at multilingual tasks, coding, and mathematical reasoning.

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.

View Mistral AI profile →

Key Differences: Mixtral 8x22B vs Mistral Medium

1

Mistral Medium is 1.5x cheaper on average, making it the better choice for high-volume applications.

2

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

3

Mixtral 8x22B is open-source (free to self-host and fine-tune) while Mistral Medium is proprietary (API-only access).

M

When to use Mixtral 8x22B

  • +Quality matters more than cost
  • +You need to self-host or fine-tune the model
  • +Your use case involves efficient reasoning, multilingual, coding
View full Mixtral 8x22B specs →
M

When to use Mistral Medium

  • +Budget is a concern and you need cost efficiency
  • +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 →

Cost Analysis

At current pricing, Mistral Medium is 1.5x more affordable than Mixtral 8x22B. For a typical enterprise workload processing 100M tokens per month:

Mixtral 8x22B monthly cost

$180

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

Mistral Medium monthly cost

$120

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

The Verdict

Mistral Medium wins our head-to-head comparison with 3 out of 5 category wins. It's the stronger choice for enterprise tasks, european languages, though Mixtral 8x22B holds an edge in efficient reasoning, multilingual, coding.

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

Frequently Asked Questions

Which is better, Mixtral 8x22B or Mistral Medium?
In our head-to-head comparison, Mistral Medium leads in 3 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Mistral Medium excels at enterprise tasks, european languages, while Mixtral 8x22B is better suited for efficient reasoning, multilingual, coding. The best choice depends on your specific requirements, budget, and use case.
How does Mixtral 8x22B pricing compare to Mistral Medium?
Mixtral 8x22B charges $0.90 per 1M input tokens and $2.70 per 1M output tokens. Mistral Medium charges $0.40 per 1M input tokens and $2.00 per 1M output tokens. Mistral Medium is the more affordable option, approximately 1.5x 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 Mixtral 8x22B and Mistral Medium?
Mixtral 8x22B supports a 64K token context window, while Mistral Medium supports 128K 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 Mixtral 8x22B or Mistral Medium for free?
Mixtral 8x22B is a paid API model starting at $0.90 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, Mixtral 8x22B or Mistral Medium?
Mixtral 8x22B holds arena rank #16, while Mistral Medium holds rank #16. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Mixtral 8x22B or Mistral Medium better for coding?
Mixtral 8x22B is specifically optimized for coding tasks. 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.