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DeepSeek-V3 vs Pixtral-12B
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 22.0% higher average benchmark score. DeepSeek-V3 offers 126.0K more tokens in context window than Pixtral-12B. Pixtral-12B is $1.07 cheaper per million tokens. Pixtral-12B 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
Pixtral 12B was introduced as Mistral's multimodal vision-language model, designed to understand and reason about both images and text. Built with 12 billion parameters for integrated visual and textual processing, it extends Mistral's capabilities into multimodal applications.
3 months newer
Pixtral-12B
Mistral AI
2024-09-17
DeepSeek-V3
DeepSeek
2024-12-25
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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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Pixtral-12B
Input:$0.15
Output:$0.15($1.07 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-V3
Average Score:87.3%(+22.0%)
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Pixtral-12B
Average Score:65.3%
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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Pixtral-12B
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DeepSeek-V3
Avg Score:87.3%(+22.0%)
Providers:1
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Pixtral-12B
Avg Score:65.3%
Providers:1