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DeepSeek-V3 vs GPT-4.1 mini
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 9.7% higher average benchmark score. GPT-4.1 mini offers 818.2K more tokens in context window than DeepSeek-V3. DeepSeek-V3 is $0.63 cheaper per million tokens. GPT-4.1 mini 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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OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
3 months newer
DeepSeek-V3
DeepSeek
2024-12-25
GPT-4.1 mini
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($0.63 cheaper)
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GPT-4.1 mini
Input:$0.40
Output:$1.60
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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DeepSeek-V3
Average Score:63.5%(+9.7%)
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GPT-4.1 mini
Average Score:53.7%
Performance comparison across key benchmark categories
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DeepSeek-V3
Coding42.0%(+18.4%)
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GPT-4.1 mini
Coding23.6%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 mini
2024-05-31
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-4.1 mini
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DeepSeek-V3
Avg Score:63.5%(+9.7%)
Providers:1
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GPT-4.1 mini
Avg Score:53.7%
Providers:2