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DeepSeek-V3 vs GPT-4 Turbo
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 6.2% higher average benchmark score. DeepSeek-V3 offers 130.0K more tokens in context window than GPT-4 Turbo. DeepSeek-V3 is $38.63 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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OpenAI
GPT-4 Turbo was introduced as an optimized version of GPT-4, designed to provide enhanced performance with improved efficiency and an expanded context window. Built with updated knowledge and refined capabilities, it offered developers a more cost-effective way to leverage GPT-4's advanced reasoning while handling longer conversations and documents.
8 months newer
GPT-4 Turbo
OpenAI
2024-04-09
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($38.63 cheaper)
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GPT-4 Turbo
Input:$10.00
Output:$30.00
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3
Average Score:79.7%(+6.2%)
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GPT-4 Turbo
Average Score:73.5%
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Knowledge Cutoff
Training data recency comparison
GPT-4 Turbo
2023-12-31
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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GPT-4 Turbo
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DeepSeek-V3
Avg Score:79.7%(+6.2%)
Providers:1
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GPT-4 Turbo
Avg Score:73.5%
Providers:2