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DeepSeek-V3.2 vs o4 mini
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2 leads with 23.5% higher average benchmark score. o4 mini offers 164.0K more tokens in context window than DeepSeek-V3.2. DeepSeek-V3.2 is $4.13 cheaper per million tokens. o4 mini supports multimodal inputs. Overall, DeepSeek-V3.2 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.2, released by DeepSeek on December 1, 2025, is a large language model with 685 billion total parameters featuring integrated thinking in tool-use and support for both reasoning and direct generation modes. It features a 128K token context window and introduced large-scale agent training across 1,800+ environments. DeepSeek-V3.2 targets agentic workflows, complex instruction following, and coding tasks under an open MIT license.
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OpenAI
OpenAI o4 mini, released by OpenAI in April 2025, is a compact reasoning model from the o4 family that combines multimodal understanding with efficient chain-of-thought processing. It features a 200K token context window and native image understanding, with strong performance on mathematics and coding benchmarks relative to its inference cost. o4 mini targets cost-sensitive applications requiring both visual reasoning and mathematical accuracy.
7 months newer
o4 mini
OpenAI
2025-04-16
DeepSeek-V3.2
DeepSeek
2025-12-01
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2
Input:$0.27
Output:$1.10($4.13 cheaper)
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o4 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-V3.2
Average Score:80.4%(+23.5%)
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o4 mini
Average Score:56.9%
Performance comparison across key benchmark categories
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DeepSeek-V3.2
Agents80.4%(+23.5%)
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o4 mini
Agents56.9%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2
1 providers
DeepSeek
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o4 mini
1 providers
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DeepSeek-V3.2
Avg Score:80.4%(+23.5%)
Providers:1
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o4 mini
Avg Score:56.9%
Providers:1