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Gemini 2.5 Flash vs GPT-OSS-20B
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemini 2.5 Flash offers 876.1K more tokens in context window than GPT-OSS-20B. Gemini 2.5 Flash is $Infinity cheaper per million tokens. Gemini 2.5 Flash supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Google DeepMind
Gemini 2.5 Flash, released by Google in June 2025, is a large language model from the Gemini 2.5 family optimized for high-throughput, cost-efficient deployments with multimodal reasoning. It features a 1M token context window, hybrid thinking control, and native support for text, image, video, and audio input. Gemini 2.5 Flash targets latency-sensitive applications, document analysis, and high-volume API workloads that benefit from combined reasoning and generation in a single model.
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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.
1 month newer
Gemini 2.5 Flash
Google DeepMind
2025-06-17
GPT-OSS-20B
OpenAI
2025-08-05
Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Flash
Input:$0.15
Output:$0.60($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 Flash
Average Score:40.4%
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GPT-OSS-20B
Average Score:40.7%(+0.3%)
Performance comparison across key benchmark categories
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Gemini 2.5 Flash
Science78.3%
Agents2.5%(+1.2%)
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GPT-OSS-20B
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.5 Flash
2 providers
Google Cloud Vertex AI
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GPT-OSS-20B
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Gemini 2.5 Flash
Avg Score:40.4%
Providers:2
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GPT-OSS-20B
Avg Score:40.7%(+0.3%)
Providers:1