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DeepSeek-V3 vs Mistral Small 3 24B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 8.9% higher average benchmark score. DeepSeek-V3 offers 198.1K more tokens in context window than Mistral Small 3 24B Instruct. Mistral Small 3 24B Instruct is $1.16 cheaper per million tokens. 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 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.
1 month newer
DeepSeek-V3
DeepSeek
2024-12-25
Mistral Small 3 24B Instruct
Mistral AI
2025-01-30
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10
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Mistral Small 3 24B Instruct
Input:$0.07
Output:$0.14($1.16 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3
Average Score:73.7%(+8.9%)
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Mistral Small 3 24B Instruct
Average Score:64.8%
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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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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Mistral Small 3 24B Instruct
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DeepSeek-V3
Avg Score:73.7%(+8.9%)
Providers:1
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Mistral Small 3 24B Instruct
Avg Score:64.8%
Providers:2