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DeepSeek-V3 vs GPT-4.1
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GPT-4.1 offers 818.2K more tokens in context window than DeepSeek-V3. DeepSeek-V3 is $8.63 cheaper per million tokens. GPT-4.1 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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-4.1 represents an iterative improvement in the GPT-4 series, developed to refine the foundational capabilities established by GPT-4. Built to incorporate learnings and optimizations from the deployment of previous versions, it continues the evolution of OpenAI's flagship model line with enhanced reliability and performance.
3 months newer
DeepSeek-V3
DeepSeek
2024-12-25
GPT-4.1
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10($8.63 cheaper)
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GPT-4.1
Input:$2.00
Output:$8.00
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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DeepSeek-V3
Average Score:63.5%
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GPT-4.1
Average Score:64.4%(+1.0%)
Performance comparison across key benchmark categories
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DeepSeek-V3
Coding42.0%
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GPT-4.1
Coding54.6%(+12.6%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1
2024-06-01
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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GPT-4.1
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DeepSeek-V3
Avg Score:63.5%
Providers:1
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GPT-4.1
Avg Score:64.4%(+1.0%)
Providers:1