Pixtral LargevsMistral Large 2
Mistral AI vs Mistral AI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Pixtral Large | Mistral Large 2 |
|---|---|---|
| Provider | ||
| Arena Rank | — | #8 |
| Context Window | 128K | 128K |
| Input Pricing | $2.00/1M tokens | $2.00/1M tokens |
| Output Pricing | $6.00/1M tokens | $6.00/1M tokens |
| Parameters | 124B | 123B |
| Open Source | Yes | Yes |
| Best For | Image understanding, visual reasoning, documents | Multilingual, coding, complex reasoning |
| Release Date | Nov 18, 2024 | Jul 24, 2024 |
Pixtral Large
Pixtral Large, developed by Mistral AI, is a multimodal model with 124 billion parameters and a 128K token context window supporting both text and image inputs. The model processes documents, charts, diagrams, screenshots, and photographs alongside text, enabling visual reasoning and document understanding tasks. Pixtral Large handles complex visual question answering, OCR, and image-grounded generation with strong accuracy. As an open-source model, it can be deployed on-premise for organizations with sensitive visual data. Priced at $2.00 per million input tokens and $6.00 per million output tokens through the API. The model fills a gap in the open-source ecosystem where capable vision-language models remain scarce. Pixtral Large demonstrates Mistral AI's expansion beyond text-only models into the multimodal space dominated by Google and OpenAI.
View Mistral AI profile →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 →Key Differences: Pixtral Large vs Mistral Large 2
Pixtral Large has 124B parameters vs Mistral Large 2's 123B, which affects inference speed and capability.
When to use Pixtral Large
- +Your use case involves image understanding, visual reasoning, documents
When to use Mistral Large 2
- +Your use case involves multilingual, coding, complex reasoning
Cost Analysis
Both models have similar pricing. For a typical enterprise workload processing 100M tokens per month:
Pixtral Large monthly cost
$400
100M tokens/mo (50/50 in/out)
Mistral Large 2 monthly cost
$400
100M tokens/mo (50/50 in/out)
The Verdict
This is a close matchup. Pixtral Large and Mistral Large 2 each win in different categories, making the choice highly dependent on your use case. Choose Pixtral Large for image understanding, visual reasoning, documents. Choose Mistral Large 2 for multilingual, coding, complex reasoning.
Last compared: April 2026 · Data sourced from public benchmarks and official pricing pages