← Back to Models
⚖️

Mixtral 8x22BvsMistral Large 2

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

Mixtral 8x22B leads 3/5 categories

Head-to-Head Comparison

MetricMixtral 8x22BMistral Large 2
Provider
Arena Rank
#16
#8
Context Window
64K
128K
Input Pricing
$0.90/1M tokens
$2.00/1M tokens
Output Pricing
$2.70/1M tokens
$6.00/1M tokens
Parameters
176B (39B active)
123B
Open Source
Yes
Yes
Best For
Efficient reasoning, multilingual, coding
Multilingual, coding, complex reasoning
Release Date
Apr 17, 2024
Jul 24, 2024

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 Large 2

Mistral Large 2 is Mistral AI's flagship model with 123 billion parameters, designed to compete with the best proprietary models while being openly available. It features a 128K context window, exceptional multilingual capabilities across dozens of languages, and strong performance on coding and mathematical reasoning. Mistral Large 2 represents Europe's strongest entry in the frontier model race, offering competitive performance with models from OpenAI and Anthropic.

View Mistral AI profile →

Key Differences: Mixtral 8x22B vs Mistral Large 2

1

Mistral Large 2 ranks higher in arena benchmarks (#8) indicating stronger overall performance.

2

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

3

Mistral Large 2 supports a larger context window (128K), allowing it to process longer documents in a single request.

4

Mixtral 8x22B has 176B (39B active) parameters vs Mistral Large 2's 123B, which affects inference speed and capability.

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 →
M

When to use Mistral Large 2

  • +You need the highest quality output based on arena rankings
  • +Quality matters more than cost
  • +You need to process long documents (128K context)
  • +Your use case involves multilingual, coding, complex reasoning
View full Mistral Large 2 specs →

Cost Analysis

At current pricing, Mixtral 8x22B is 2.2x more affordable than Mistral Large 2. For a typical enterprise workload processing 100M tokens per month:

Mixtral 8x22B monthly cost

$180

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

Mistral Large 2 monthly cost

$400

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

The Verdict

Mixtral 8x22B wins our head-to-head comparison with 3 out of 5 category wins. It's the stronger choice for efficient reasoning, multilingual, coding, though Mistral Large 2 holds an edge in multilingual, coding, complex reasoning.

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

Frequently Asked Questions

Which is better, Mixtral 8x22B or Mistral Large 2?
In our head-to-head comparison, Mixtral 8x22B leads in 3 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Mixtral 8x22B excels at efficient reasoning, multilingual, coding, while Mistral Large 2 is better suited for multilingual, coding, complex reasoning. The best choice depends on your specific requirements, budget, and use case.
How does Mixtral 8x22B pricing compare to Mistral Large 2?
Mixtral 8x22B charges $0.90 per 1M input tokens and $2.70 per 1M output tokens. Mistral Large 2 charges $2.00 per 1M input tokens and $6.00 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 Mixtral 8x22B and Mistral Large 2?
Mixtral 8x22B supports a 64K token context window, while Mistral Large 2 supports 128K tokens. Mistral Large 2 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 Large 2 for free?
Mixtral 8x22B is a paid API model starting at $0.90 per 1M input tokens. Mistral Large 2 is a paid API model starting at $2.00 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 Large 2?
Mixtral 8x22B holds arena rank #16, while Mistral Large 2 holds rank #8. Mistral Large 2 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 Mixtral 8x22B or Mistral Large 2 better for coding?
Mixtral 8x22B is specifically optimized for coding tasks. Mistral Large 2 is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.