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DeepSeek-V3.1 vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 14.2% higher average benchmark score. DeepSeek-V3.1 offers 27.7K more tokens in context window than o4-mini. DeepSeek-V3.1 is $4.23 cheaper per million tokens. o4-mini supports multimodal inputs. Overall, o4-mini 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
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
3 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
o4-mini
OpenAI
2025-04-16
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00($4.23 cheaper)
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o4-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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DeepSeek-V3.1
Average Score:53.0%
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o4-mini
Average Score:67.2%(+14.2%)
Performance comparison across key benchmark categories
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DeepSeek-V3.1
Coding66.0%
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o4-mini
Coding68.1%(+2.1%)
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Knowledge Cutoff
Training data recency comparison
o4-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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o4-mini
1 providers
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DeepSeek-V3.1
Avg Score:53.0%
Providers:2
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o4-mini
Avg Score:67.2%(+14.2%)
Providers:1