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DeepSeek-V3 vs Mistral Small 3 24B Base
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 18.0% higher average benchmark score. Mistral Small 3 24B Base supports multimodal inputs. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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Mistral AI
Mistral Small 24B Base was developed as a 24-billion-parameter foundation model, designed to serve as a base for fine-tuning and customization. Built to provide a strong starting point for domain-specific applications, it represents an intermediate-scale option in Mistral's model lineup.
1 month newer
DeepSeek-V3
DeepSeek
2024-12-25
Mistral Small 3 24B Base
Mistral AI
2025-01-30
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3
Average Score:74.5%(+18.0%)
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Mistral Small 3 24B Base
Average Score:56.5%
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Base
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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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Mistral Small 3 24B Base
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DeepSeek-V3
Avg Score:74.5%(+18.0%)
Providers:1
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Mistral Small 3 24B Base
Avg Score:56.5%
Providers:0