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Mistral Small 3.1 24B Base vs Nova Micro
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have similar pricing. Mistral Small 3.1 24B Base supports multimodal inputs. 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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Amazon
Amazon Nova Micro was created as an ultra-compact multimodal model, designed for deployment in resource-constrained environments. Built to bring text and image understanding to edge devices and latency-sensitive applications, it extends Amazon's AI capabilities to minimal footprint scenarios.
3 months newer
Nova Micro
Amazon
2024-11-20
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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Nova Micro
Input:$0.03
Output:$0.14($0.23 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:59.3%(+0.5%)
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Nova Micro
Average Score:58.8%
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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Nova Micro
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Mistral Small 3.1 24B Base
Avg Score:59.3%(+0.5%)
Providers:1
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Nova Micro
Avg Score:58.8%
Providers:1