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DeepSeek-V2.5 vs o3
Comprehensive side-by-side LLM comparison
o3 leads with 52.3% higher average benchmark score. o3 offers 283.6K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $9.58 cheaper per million tokens. o3 supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Overall, o3 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 represents the next generation in OpenAI's reasoning model series, developed to advance the capabilities of deliberate, step-by-step problem solving. Built to handle increasingly complex challenges across mathematics, science, and coding, it continues the evolution of reasoning-focused AI with improved analytical depth and accuracy.
11 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
o3
OpenAI
2025-04-16
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($9.58 cheaper)
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o3
Input:$2.00
Output:$8.00
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-V2.5
Average Score:16.8%
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o3
Average Score:69.1%(+52.3%)
Performance comparison across key benchmark categories
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DeepSeek-V2.5
Coding16.8%
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o3
Coding69.1%(+52.3%)
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Knowledge Cutoff
Training data recency comparison
o3
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-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:16.8%
Providers:3
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o3
Avg Score:69.1%(+52.3%)
Providers:1