Mistral SmallvsMistral Large
Mistral AI vs Mistral AI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Mistral Small | Mistral Large |
|---|---|---|
| Provider | ||
| Arena Rank | #19 | #8 |
| Context Window | 32K | 256K |
| Input Pricing | $0.20/1M tokens | $0.50/1M tokens |
| Output Pricing | $0.60/1M tokens | $1.50/1M tokens |
| Parameters | 22B | 675B MoE (41B active) |
| Open Source | Yes | No |
| Best For | Fast inference, cost-effective tasks, chat | European privacy, multilingual, code |
| Release Date | Sep 18, 2024 | — |
Mistral Small
Mistral Small, developed by Mistral AI, is a compact 22 billion parameter model with a 32K token context window optimized for fast inference and low deployment costs. The model handles coding, summarization, classification, and conversational tasks while maintaining the quality standards established by the Mistral model family. Its small footprint makes it suitable for edge deployment, cost-sensitive production applications, and use cases requiring low-latency responses. Priced at $0.20 per million input tokens and $0.60 per million output tokens, it offers affordable access to Mistral's technology. As an open-source model, it can also be self-hosted without API costs. Mistral Small ranks #19 on the Chatbot Arena leaderboard, demonstrating competitive performance for its compact size and establishing it as a strong option for budget-conscious deployments.
View Mistral AI profile →Mistral Large
Mistral Large is the flagship model from Mistral AI, Europe's leading AI company. Built in Paris with a focus on multilingual capability and European language support, it delivers strong performance on coding, reasoning, and enterprise tasks while offering competitive pricing. The model features a 256K context window and supports function calling, JSON output, and system prompts. Mistral Large is particularly strong at code generation, technical writing, and structured data extraction. As a European-developed model, it appeals to organizations prioritizing data sovereignty and EU compliance. Mistral AI has positioned this model as the enterprise alternative to American-built models, with deployment options through their own API, Azure, AWS, and Google Cloud. The company has rapidly grown to become one of the most valuable AI startups globally.
View Mistral AI profile →Key Differences: Mistral Small vs Mistral Large
Mistral Large ranks higher in arena benchmarks (#8) indicating stronger overall performance.
Mistral Small is 2.5x cheaper on average, making it the better choice for high-volume applications.
Mistral Large supports a larger context window (256K), allowing it to process longer documents in a single request.
Mistral Small is open-source (free to self-host and fine-tune) while Mistral Large is proprietary (API-only access).
Mistral Small has 22B parameters vs Mistral Large's 675B MoE (41B active), which affects inference speed and capability.
When to use Mistral Small
- +Budget is a concern and you need cost efficiency
- +You need to self-host or fine-tune the model
- +Your use case involves fast inference, cost-effective tasks, chat
When to use Mistral Large
- +You need the highest quality output based on arena rankings
- +Quality matters more than cost
- +You need to process long documents (256K context)
- +You prefer a managed API without infrastructure overhead
- +Your use case involves european privacy, multilingual, code
Cost Analysis
At current pricing, Mistral Small is 2.5x more affordable than Mistral Large. For a typical enterprise workload processing 100M tokens per month:
Mistral Small monthly cost
$40
100M tokens/mo (50/50 in/out)
Mistral Large monthly cost
$100
100M tokens/mo (50/50 in/out)
The Verdict
Mistral Large wins our head-to-head comparison with 3 out of 5 category wins. It's the stronger choice for european privacy, multilingual, code, 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: April 2026 · Data sourced from public benchmarks and official pricing pages