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Pixtral LargevsMistral Medium

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

Mistral Medium leads 3/5 categories

Head-to-Head Comparison

MetricPixtral LargeMistral Medium
Provider
Arena Rank
#16
Context Window
128K
128K
Input Pricing
$2.00/1M tokens
$0.40/1M tokens
Output Pricing
$6.00/1M tokens
$2.00/1M tokens
Parameters
124B
Undisclosed
Open Source
Yes
No
Best For
Image understanding, visual reasoning, documents
Enterprise tasks, European languages
Release Date
Nov 18, 2024
Jan 15, 2025

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 →

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: Pixtral Large vs Mistral Medium

1

Mistral Medium is 3.3x cheaper on average, making it the better choice for high-volume applications.

2

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

P

When to use Pixtral Large

  • +Quality matters more than cost
  • +You need to self-host or fine-tune the model
  • +Your use case involves image understanding, visual reasoning, documents
View full Pixtral Large specs →
M

When to use Mistral Medium

  • +Budget is a concern and you need cost efficiency
  • +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 3.3x 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)

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 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 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 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 Mistral Medium?
Pixtral Large charges $2.00 per 1M input tokens and $6.00 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 3.3x 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 Mistral Medium?
Pixtral Large 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 Pixtral Large or Mistral Medium for free?
Pixtral Large is a paid API model starting at $2.00 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, Pixtral Large or Mistral Medium?
Pixtral Large's arena rank is not yet available, 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 Pixtral Large or Mistral Medium better for coding?
Pixtral Large's primary strength is image understanding, visual reasoning, documents. 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.