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GPT-5.2 vs GPT-OSS-20B
Comprehensive side-by-side LLM comparison
GPT-5.2 leads with 44.9% 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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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.
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OpenAI
GPT-OSS-20B is an open-weight large language model with 20 billion parameters from OpenAI's open-source model initiative. It targets deployments requiring a smaller, efficient model that can run on consumer or mid-tier hardware while maintaining strong reasoning and coding capabilities relative to its size.
4 months newer
GPT-OSS-20B
OpenAI
2025-08-05
GPT-5.2
OpenAI
2025-12-11
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-5.2
Average Score:85.5%(+44.9%)
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GPT-OSS-20B
Average Score:40.7%
Performance comparison across key benchmark categories
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GPT-5.2
Science93.2%(+13.1%)
Agents77.9%(+76.6%)
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GPT-OSS-20B
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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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GPT-5.2
0 providers
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GPT-OSS-20B
1 providers
Hugging Face
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GPT-5.2
Avg Score:85.5%(+44.9%)
Providers:0
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GPT-OSS-20B
Avg Score:40.7%
Providers:1