Pixtral LargevsMistral Small
Mistral AI vs Mistral AI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Pixtral Large | Mistral Small |
|---|---|---|
| Provider | ||
| Arena Rank | — | #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 | 124B | 22B |
| Open Source | Yes | Yes |
| Best For | Image understanding, visual reasoning, documents | Fast inference, cost-effective tasks, chat |
| Release Date | Nov 18, 2024 | Sep 18, 2024 |
Pixtral Large
Pixtral Large is Mistral AI's multimodal flagship model, combining 124 billion parameters with native image understanding capabilities. Built on the Mistral Large 2 architecture with added vision encoders, it can analyze images, charts, documents, and diagrams while maintaining the strong text capabilities of its parent model. With a 128K context window, it handles complex multimodal tasks that require reasoning across both visual and textual information.
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: Pixtral Large vs Mistral Small
Mistral Small is 10.0x cheaper on average, making it the better choice for high-volume applications.
Pixtral Large supports a larger context window (128K), allowing it to process longer documents in a single request.
Pixtral Large has 124B parameters vs Mistral Small's 22B, which affects inference speed and capability.
When to use Pixtral Large
- +Quality matters more than cost
- +You need to process long documents (128K context)
- +Your use case involves image understanding, visual reasoning, documents
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 Pixtral Large. For a typical enterprise workload processing 100M tokens per month:
Pixtral Large 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 Small wins our head-to-head comparison with 3 out of 5 category wins. It's the stronger choice for fast inference, cost-effective tasks, chat, though Pixtral Large holds an edge in image understanding, visual reasoning, documents.
Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages