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DeepSeek-V3.1 vs o3
Comprehensive side-by-side LLM comparison
o3 offers 164.0K more tokens in context window than DeepSeek-V3.1. DeepSeek-V3.1 is $48.63 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-V3.1, released by DeepSeek in August 2025, is a hybrid large language model with 671 billion total parameters (37 billion active) that unifies the capabilities of DeepSeek-V3 and DeepSeek-R1 in a single model. It features a 128K token context window and supports both direct generation and extended reasoning modes selectable via the chat template. DeepSeek-V3.1 targets general-purpose tasks, coding, and complex reasoning under an open MIT license.
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OpenAI
OpenAI o3, released by OpenAI in April 2025, is a large reasoning model that applies extended chain-of-thought processing to deliver improved performance on complex math, science, and coding tasks. It features a 200K token context window and native image understanding, with demonstrated strong results on mathematics and software engineering benchmarks. o3 targets demanding analytical and engineering tasks where deliberate, multi-step reasoning produces significantly better outcomes than direct generation.
4 months newer
o3
OpenAI
2025-04-16
DeepSeek-V3.1
DeepSeek
2025-08-21
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.10($48.63 cheaper)
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o3
Input:$10.00
Output:$40.00
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.1
1 providers
DeepSeek
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o3
1 providers
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DeepSeek-V3.1
Avg Score:0.0%
Providers:1
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o3
Avg Score:0.0%
Providers:1