Mistral Large 2vsMistral Small
Mistral AI vs Mistral AI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Mistral Large 2 | Mistral Small |
|---|---|---|
| Provider | ||
| Arena Rank | #8 | #19 |
| Context Window | 128K | 32K |
| Input Pricing | $2.00/1M tokens | $0.20/1M tokens |
| Output Pricing | $6.00/1M tokens | $0.60/1M tokens |
| Parameters | 123B | 22B |
| Open Source | Yes | Yes |
| Best For | Multilingual, coding, complex reasoning | Fast inference, cost-effective tasks, chat |
| Release Date | Jul 24, 2024 | Sep 18, 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 →Mistral Small
Mistral Small is Mistral AI's efficient model optimized for low-latency, cost-effective deployments. At 22 billion parameters with a 32K context window, it delivers strong performance for everyday tasks including summarization, classification, and conversational AI. It offers an excellent balance between capability and cost, making it suitable for high-volume production applications where fast response times matter.
View Mistral AI profile →Key Differences: Mistral Large 2 vs Mistral Small
Mistral Large 2 ranks higher in arena benchmarks (#8) indicating stronger overall performance.
Mistral Small is 10.0x 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 Mistral Small's 22B, 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 Mistral Small
- +Budget is a concern and you need cost efficiency
- +Your use case involves fast inference, cost-effective tasks, chat
Cost Analysis
At current pricing, Mistral Small is 10.0x 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)
Mistral Small monthly cost
$40
100M tokens/mo (50/50 in/out)
The Verdict
Mistral Large 2 wins our head-to-head comparison with 3 out of 5 category wins. It's the stronger choice for multilingual, coding, complex reasoning, though Mistral Small holds an edge in fast inference, cost-effective tasks, chat. If cost is your primary concern, Mistral Small offers better value.
Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages