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Pixtral LargevsMixtral 8x22B

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

Mixtral 8x22B leads 4/5 categories

Head-to-Head Comparison

MetricPixtral LargeMixtral 8x22B
Provider
Arena Rank
#16
Context Window
128K
64K
Input Pricing
$2.00/1M tokens
$0.90/1M tokens
Output Pricing
$6.00/1M tokens
$2.70/1M tokens
Parameters
124B
176B (39B active)
Open Source
Yes
Yes
Best For
Image understanding, visual reasoning, documents
Efficient reasoning, multilingual, coding
Release Date
Nov 18, 2024
Apr 17, 2024

Pixtral Large

Pixtral Large is Mistral AI's multimodal flagship model, combining 124 billion parameters with native image understanding capabilities. Built on the Mistral Large 2 architecture with added vision encoders, it can analyze images, charts, documents, and diagrams while maintaining the strong text capabilities of its parent model. With a 128K context window, it handles complex multimodal tasks that require reasoning across both visual and textual information.

View Mistral AI profile →

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 →

Key Differences: Pixtral Large vs Mixtral 8x22B

1

Mixtral 8x22B is 2.2x cheaper on average, making it the better choice for high-volume applications.

2

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

3

Pixtral Large has 124B parameters vs Mixtral 8x22B's 176B (39B active), which affects inference speed and capability.

P

When to use Pixtral Large

  • +Quality matters more than cost
  • +You need to process long documents (128K context)
  • +Your use case involves image understanding, visual reasoning, documents
View full Pixtral Large specs →
M

When to use Mixtral 8x22B

  • +Budget is a concern and you need cost efficiency
  • +Your use case involves efficient reasoning, multilingual, coding
View full Mixtral 8x22B specs →

Cost Analysis

At current pricing, Mixtral 8x22B is 2.2x more affordable than Pixtral Large. For a typical enterprise workload processing 100M tokens per month:

Pixtral Large monthly cost

$400

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

Mixtral 8x22B monthly cost

$180

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

The Verdict

Mixtral 8x22B wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for efficient reasoning, multilingual, coding, though Pixtral Large holds an edge in image understanding, visual reasoning, documents.

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

Frequently Asked Questions

Which is better, Pixtral Large or Mixtral 8x22B?
In our head-to-head comparison, Mixtral 8x22B leads in 4 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Mixtral 8x22B excels at efficient reasoning, multilingual, coding, while Pixtral Large is better suited for image understanding, visual reasoning, documents. The best choice depends on your specific requirements, budget, and use case.
How does Pixtral Large pricing compare to Mixtral 8x22B?
Pixtral Large charges $2.00 per 1M input tokens and $6.00 per 1M output tokens. Mixtral 8x22B charges $0.90 per 1M input tokens and $2.70 per 1M output tokens. Mixtral 8x22B is the more affordable option, approximately 2.2x 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 Pixtral Large and Mixtral 8x22B?
Pixtral Large supports a 128K token context window, while Mixtral 8x22B supports 64K tokens. Pixtral Large 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 Pixtral Large or Mixtral 8x22B for free?
Pixtral Large is a paid API model starting at $2.00 per 1M input tokens. Mixtral 8x22B is a paid API model starting at $0.90 per 1M input tokens. Open-source models can be self-hosted for free but require your own GPU infrastructure.
Which model has better benchmarks, Pixtral Large or Mixtral 8x22B?
Pixtral Large's arena rank is not yet available, while Mixtral 8x22B holds rank #16. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Pixtral Large or Mixtral 8x22B better for coding?
Pixtral Large's primary strength is image understanding, visual reasoning, documents. Mixtral 8x22B is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.