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Mistral Small 3.1 24B Base vs Pixtral Large
Comprehensive side-by-side LLM comparison
Pixtral Large leads with 4.7% higher average benchmark score. Mistral Small 3.1 24B Base is $7.60 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
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Mistral AI
Pixtral Large was developed as a larger-scale multimodal model, designed to provide advanced vision-language understanding capabilities. Built to handle complex tasks requiring sophisticated analysis of visual and textual information, it represents Mistral's flagship offering for multimodal applications.
3 months newer
Pixtral Large
Mistral AI
2024-11-18
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
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Pricing Comparison
Cost per million tokens (USD)
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($7.60 cheaper)
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Pixtral Large
Input:$2.00
Output:$6.00
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Mistral Small 3.1 24B Base
Average Score:59.3%
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Pixtral Large
Average Score:64.0%(+4.7%)
Provider Availability & Performance
Available providers and their performance metrics
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Mistral Small 3.1 24B Base
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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Pixtral Large
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Mistral Small 3.1 24B Base
Avg Score:59.3%
Providers:1
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Pixtral Large
Avg Score:64.0%(+4.7%)
Providers:1