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DeepSeek-V3.1 vs GPT-4.1 mini
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 17.6% higher average benchmark score. GPT-4.1 mini offers 752.7K more tokens in context window than DeepSeek-V3.1. DeepSeek-V3.1 is $0.73 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
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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-V3.1
DeepSeek
2025-01-10
GPT-4.1 mini
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00($0.73 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-V3.1
Average Score:53.5%(+17.6%)
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GPT-4.1 mini
Average Score:36.0%
Performance comparison across key benchmark categories
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DeepSeek-V3.1
Coding66.0%(+42.4%)
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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
2 providers
DeepInfra
Novita
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GPT-4.1 mini
2 providers
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DeepSeek-V3.1
Avg Score:53.5%(+17.6%)
Providers:2
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GPT-4.1 mini
Avg Score:36.0%
Providers:2