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DeepSeek-V3.1 vs o3 mini
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. o3 mini offers 164.0K more tokens in context window than DeepSeek-V3.1. DeepSeek-V3.1 is $4.13 cheaper per million tokens. 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 mini, released by OpenAI in January 2025, is a compact reasoning model from the o3 family designed for efficient, cost-effective STEM problem-solving. It features a 200K token context window and adjustable chain-of-thought effort settings, allowing developers to trade reasoning depth for speed. o3 mini targets science, mathematics, and coding applications where lower inference cost and faster response times are a priority.
6 months newer
o3 mini
OpenAI
2025-01-31
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($4.13 cheaper)
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o3 mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-V3.1
Average Score:1.3%
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o3 mini
Average Score:1.5%(+0.2%)
Performance comparison across key benchmark categories
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DeepSeek-V3.1
Agents1.3%
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o3 mini
Agents1.5%(+0.2%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.1
1 providers
DeepSeek
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o3 mini
1 providers
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DeepSeek-V3.1
Avg Score:1.3%
Providers:1
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o3 mini
Avg Score:1.5%(+0.2%)
Providers:1