Mistral Large 2vsMixtral 8x22B
Mistral AI vs Mistral AI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Mistral Large 2 | Mixtral 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, developed by Mistral AI, is the company's most capable model with 123 billion parameters and a 128K token context window. The model excels at complex reasoning, coding, and multilingual tasks with particular strength across European languages. Mistral Large 2 supports function calling, JSON output, and system prompts for production deployments. As an open-source model, it can be deployed on enterprise infrastructure or accessed through Mistral's API, Azure, AWS, and Google Cloud. Priced at $2.00 per million input tokens and $6.00 per million output tokens through the API. It competes directly with GPT-4o and Claude Sonnet on quality benchmarks while offering deployment flexibility that proprietary models lack. Mistral Large 2 ranks #8 on the Chatbot Arena leaderboard, confirming its position as one of the strongest European-built AI models.
View Mistral AI profile →Mixtral 8x22B
Mixtral 8x22B, developed by Mistral AI, is a large Mixture-of-Experts model with 176 billion total parameters (39 billion active per token) and a 64K token context window. The model scales the MoE architecture to deliver stronger reasoning, coding, and multilingual performance while maintaining the efficiency advantages of sparse expert routing. It supports function calling and structured outputs for production agentic workflows. Free and open-source, Mixtral 8x22B can be deployed on enterprise GPU infrastructure for organizations requiring powerful, self-hosted AI. Priced at $0.90 per million input tokens through API providers. The model demonstrates competitive performance with proprietary models at significantly lower operational cost due to its efficient architecture. Mixtral 8x22B ranks #16 on the Chatbot Arena leaderboard, confirming strong capability for an open-weight MoE model.
View Mistral AI profile →Key Differences: Mistral Large 2 vs Mixtral 8x22B
Mistral Large 2 ranks higher in arena benchmarks (#8) indicating stronger overall performance.
Mixtral 8x22B is 2.2x cheaper on average, making it the better choice for high-volume applications.
Mistral Large 2 supports a larger context window (128K), allowing it to process longer documents in a single request.
Mistral Large 2 has 123B parameters vs Mixtral 8x22B's 176B (39B active), which affects inference speed and capability.
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
When to use Mixtral 8x22B
- +Budget is a concern and you need cost efficiency
- +Your use case involves efficient reasoning, multilingual, coding
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: April 2026 · Data sourced from public benchmarks and official pricing pages