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DeepSeek-V2.5 vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 20.7% higher average benchmark score. o3-mini offers 283.6K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $5.08 cheaper per million tokens. Overall, o3-mini is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 was developed as an enhanced iteration of the DeepSeek-V2 architecture, designed to incorporate improvements in model quality and efficiency. Built to advance the DeepSeek foundation model series, it provides refined capabilities for general-purpose language understanding and generation tasks.
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OpenAI
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
8 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
o3-mini
OpenAI
2025-01-30
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($5.08 cheaper)
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o3-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V2.5
Average Score:57.3%
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o3-mini
Average Score:78.0%(+20.7%)
Performance comparison across key benchmark categories
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DeepSeek-V2.5
Coding16.8%
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o3-mini
Coding49.3%(+32.5%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
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-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:57.3%
Providers:3
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o3-mini
Avg Score:78.0%(+20.7%)
Providers:2