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DeepSeek-V3 vs o3
Comprehensive side-by-side LLM comparison
o3 leads with 3.7% higher average benchmark score. o3 offers 37.9K more tokens in context window than DeepSeek-V3. DeepSeek-V3 is $8.63 cheaper per million tokens. o3 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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OpenAI
o3 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 67.5% across 22 benchmarks. It excels particularly in COLLIE (98.4%), AIME 2024 (91.6%), ARC-AGI (88.0%). It supports a 300K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
3 months newer
DeepSeek-V3
DeepSeek
2024-12-25
o3
OpenAI
2025-04-16
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10($8.63 cheaper)
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o3
Input:$2.00
Output:$8.00
Performance Metrics
Context window and performance specifications
Average performance across 38 common benchmarks
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DeepSeek-V3
Average Score:35.4%
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o3
Average Score:39.1%(+3.7%)
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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-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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o3
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DeepSeek-V3
Avg Score:35.4%
Providers:1
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o3
Avg Score:39.1%(+3.7%)
Providers:1