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Mistral Small 3.1 24B Base vs Pixtral-12B
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base leads with 9.3% higher average benchmark score. Mistral Small 3.1 24B Base offers 119.8K more tokens in context window than Pixtral-12B. Both models have similar pricing. Overall, Mistral Small 3.1 24B Base is the stronger choice for coding tasks.
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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 12B was introduced as Mistral's multimodal vision-language model, designed to understand and reason about both images and text. Built with 12 billion parameters for integrated visual and textual processing, it extends Mistral's capabilities into multimodal applications.
6 months newer
Pixtral-12B
Mistral AI
2024-09-17
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
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Pixtral-12B
Input:$0.15
Output:$0.15($0.10 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Mistral Small 3.1 24B Base
Average Score:70.1%(+9.3%)
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Pixtral-12B
Average Score:60.9%
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-12B
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Mistral Small 3.1 24B Base
Avg Score:70.1%(+9.3%)
Providers:1
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Pixtral-12B
Avg Score:60.9%
Providers:1