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Mistral Small 3 24B Instruct vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Mistral Small 3 24B Instruct leads with 9.0% higher average benchmark score. Mistral Small 3.1 24B Base offers 192.0K more tokens in context window than Mistral Small 3 24B Instruct. Both models have similar pricing. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, Mistral Small 3 24B Instruct is the stronger choice for coding tasks.
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Mistral AI
Mistral Small 24B Instruct was created as the instruction-tuned version of the 24B base model, designed to follow user instructions reliably. Built to serve general-purpose applications requiring moderate capability, it balances performance with deployment practicality.
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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.
1 month newer
Mistral Small 3 24B Instruct
Mistral AI
2025-01-30
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 24B Instruct
Input:$0.07
Output:$0.14($0.19 cheaper)
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Mistral Small 3.1 24B Base
Input:$0.10
Output:
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Mistral Small 3 24B Instruct
Average Score:55.8%(+9.0%)
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Mistral Small 3.1 24B Base
Average Score:46.8%
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Instruct
2023-10-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Mistral Small 3 24B Instruct
2 providers
DeepInfra
Throughput: 49 tok/s
Latency: 0.2ms
Mistral AI
Throughput: 134 tok/s
Latency: 0.2ms
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Mistral Small 3 24B Instruct
Avg Score:55.8%(+9.0%)
Providers:2
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Mistral Small 3.1 24B Base
Avg Score:46.8%
Providers:1