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Ministral 8B Instruct vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base leads with 15.5% higher average benchmark score. Both models have similar pricing. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, Mistral Small 3.1 24B Base is the stronger choice for coding tasks.
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Mistral AI
Ministral 8B was developed as a compact yet capable model from Mistral AI, designed to provide strong instruction-following with just 8 billion parameters. Built for applications requiring efficient deployment while maintaining reliable performance, it represents Mistral's smallest production-ready offering.
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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.
5 months newer
Ministral 8B Instruct
Mistral AI
2024-10-16
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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Ministral 8B Instruct
Input:$0.10
Output:$0.10($0.20 cheaper)
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Ministral 8B Instruct
Average Score:65.3%
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Mistral Small 3.1 24B Base
Average Score:80.8%(+15.5%)
Provider Availability & Performance
Available providers and their performance metrics
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Ministral 8B Instruct
1 providers
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.18ms
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Mistral Small 3.1 24B Base
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Ministral 8B Instruct
Avg Score:65.3%
Providers:1
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Mistral Small 3.1 24B Base
Avg Score:80.8%(+15.5%)
Providers:1