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Gemini 2.5 Pro vs GPT-OSS-20B
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 1.8% higher average benchmark score. Gemini 2.5 Pro offers 876.1K more tokens in context window than GPT-OSS-20B. Gemini 2.5 Pro is $Infinity cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Google DeepMind
Gemini 2.5 Pro, released by Google in May 2025, is a large language model from the Gemini 2.5 family designed for complex reasoning, coding, and long-context analysis tasks. It features a 1M token context window, native support for text, image, video, and audio input, and integrated thinking capabilities for multi-step problem solving. Gemini 2.5 Pro targets advanced coding workflows, scientific reasoning, and applications requiring deep understanding across large, mixed-modality contexts.
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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.
2 months newer
Gemini 2.5 Pro
Google DeepMind
2025-05-20
GPT-OSS-20B
OpenAI
2025-08-05
Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Pro
Input:$1.25
Output:$10.00($Infinity cheaper)
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GPT-OSS-20B
Input:$Infinity
Output:$Infinity
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemini 2.5 Pro
Average Score:42.5%(+1.8%)
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GPT-OSS-20B
Average Score:40.7%
Performance comparison across key benchmark categories
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Gemini 2.5 Pro
Science77.2%
Agents7.8%(+6.5%)
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GPT-OSS-20B
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.5 Pro
2 providers
Google Cloud Vertex AI
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GPT-OSS-20B
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Gemini 2.5 Pro
Avg Score:42.5%(+1.8%)
Providers:2
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GPT-OSS-20B
Avg Score:40.7%
Providers:1