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Gemini 2.0 Flash vs GPT OSS 20B
Comprehensive side-by-side LLM comparison
GPT OSS 20B leads with 9.4% higher average benchmark score. Gemini 2.0 Flash offers 794.6K more tokens in context window than GPT OSS 20B. Both models have similar pricing. Gemini 2.0 Flash supports multimodal inputs. GPT OSS 20B is available on 4 providers. Overall, GPT OSS 20B is the stronger choice for coding tasks.
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Gemini 2.0 Flash was developed as the next generation of Google's fast multimodal model, designed to provide improved performance while maintaining the speed and efficiency that defines the Flash family. Built with enhanced reasoning and generation capabilities, it serves applications requiring both quality and responsiveness.
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OpenAI
GPT-OSS 20B was created as a smaller open-source variant, designed to balance capability with accessibility for researchers and developers. Built with 20 billion parameters, it provides a more approachable entry point for those seeking to work with open-source language models while benefiting from OpenAI's architectural insights.
8 months newer
Gemini 2.0 Flash
2024-12-01
GPT OSS 20B
OpenAI
2025-08-05
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.0 Flash
Input:$0.10
Output:$0.40
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GPT OSS 20B
Input:$0.05
Output:$0.20($0.25 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 2.0 Flash
Average Score:62.1%
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GPT OSS 20B
Average Score:71.5%(+9.4%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.0 Flash
1 providers
Throughput: 183 tok/s
Latency: 0.4ms
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GPT OSS 20B
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Gemini 2.0 Flash
Avg Score:62.1%
Providers:1
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GPT OSS 20B
Avg Score:71.5%(+9.4%)
Providers:4