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Mistral Large 2vsMixtral 8x22B

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

Mixtral 8x22B leads 3/5 categories

Head-to-Head Comparison

MetricMistral Large 2Mixtral 8x22B
Provider
Arena Rank
#8
#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
123B
176B (39B active)
Open Source
Yes
Yes
Best For
Multilingual, coding, complex reasoning
Efficient reasoning, multilingual, coding
Release Date
Jul 24, 2024
Apr 17, 2024

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 →

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: Mistral Large 2 vs Mixtral 8x22B

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

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

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 →
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 Mistral Large 2. For a typical enterprise workload processing 100M tokens per month:

Mistral Large 2 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 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, Mistral Large 2 or Mixtral 8x22B?
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 Mistral Large 2 pricing compare to Mixtral 8x22B?
Mistral Large 2 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 Mistral Large 2 and Mixtral 8x22B?
Mistral Large 2 supports a 128K token context window, while Mixtral 8x22B supports 64K 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 Mistral Large 2 or Mixtral 8x22B for free?
Mistral Large 2 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, Mistral Large 2 or Mixtral 8x22B?
Mistral Large 2 holds arena rank #8, while Mixtral 8x22B holds rank #16. 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 Mistral Large 2 or Mixtral 8x22B better for coding?
Mistral Large 2 is specifically optimized for coding tasks. Mixtral 8x22B is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.