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DeepSeek-V3.1 vs GPT-5.2
Comprehensive side-by-side LLM comparison
GPT-5.2 leads with 76.6% higher average benchmark score. GPT-5.2 supports multimodal inputs. Overall, GPT-5.2 is the stronger choice for coding tasks.
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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
GPT-5.2, released by OpenAI on December 11, 2025, is a large language model from the GPT-5 family that improves on GPT-5 in general intelligence, long-context understanding, agentic tool-calling, and vision. It features a 400K token context window, 128K maximum output tokens, and a knowledge cutoff of August 2025. GPT-5.2 targets long-context coding tasks, extended document analysis, and complex agentic workflows requiring reliable instruction following.
3 months newer
DeepSeek-V3.1
DeepSeek
2025-08-21
GPT-5.2
OpenAI
2025-12-11
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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GPT-5.2
Average Score:77.9%(+76.6%)
Performance comparison across key benchmark categories
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DeepSeek-V3.1
Agents1.3%
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GPT-5.2
Agents77.9%(+76.6%)
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Knowledge Cutoff
Training data recency comparison
GPT-5.2
2025-08
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
1 providers
DeepSeek
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GPT-5.2
0 providers
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DeepSeek-V3.1
Avg Score:1.3%
Providers:1
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GPT-5.2
Avg Score:77.9%(+76.6%)
Providers:0