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GPT-OSS-20B vs Llama 4 Behemoth
Comprehensive side-by-side LLM comparison
Llama 4 Behemoth offers 72.0K more tokens in context window than GPT-OSS-20B. Llama 4 Behemoth is $Infinity cheaper per million tokens. Llama 4 Behemoth supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-OSS-20B is an open-weight large language model with 20 billion parameters from OpenAI's open-source model initiative. It targets deployments requiring a smaller, efficient model that can run on consumer or mid-tier hardware while maintaining strong reasoning and coding capabilities relative to its size.
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Meta AI
Llama 4 Behemoth is a research-scale Mixture-of-Experts language model with approximately 2 trillion total parameters (288 billion active per inference), developed by Meta as a teacher model for the Llama 4 family. Available only in limited preview, it serves as the knowledge distillation source for Llama 4 Scout and Maverick. Behemoth targets research applications requiring the largest-scale open-weight model architecture from the Llama 4 generation.
GPT-OSS-20B
OpenAI
2025-08-05
Pricing Comparison
Cost per million tokens (USD)
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GPT-OSS-20B
Input:$Infinity
Output:$Infinity
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Llama 4 Behemoth
Input:$3.00
Output:$3.00($Infinity cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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GPT-OSS-20B
1 providers
Hugging Face
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Llama 4 Behemoth
1 providers
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GPT-OSS-20B
Avg Score:0.0%
Providers:1
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Llama 4 Behemoth
Avg Score:0.0%
Providers:1