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GPT-OSS-20B vs Llama 4 Maverick
Comprehensive side-by-side LLM comparison
Llama 4 Maverick offers 872.0K more tokens in context window than GPT-OSS-20B. Llama 4 Maverick is $Infinity cheaper per million tokens. Llama 4 Maverick supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-OSS-20B is an open-weight large language model with 20 billion parameters from OpenAI's open-source model initiative. It targets deployments requiring a smaller, efficient model that can run on consumer or mid-tier hardware while maintaining strong reasoning and coding capabilities relative to its size.
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Meta AI
Llama 4 Maverick, released by Meta on April 5, 2025, is a natively multimodal Mixture-of-Experts large language model with 400 billion total parameters and 17 billion active parameters per inference. It features a 1M token context window and supports text and image input, enabling strong performance on both language and vision tasks. Maverick targets open-source deployments requiring large-scale multimodal reasoning, released under Meta's custom license.
4 months newer
Llama 4 Maverick
Meta AI
2025-04-05
GPT-OSS-20B
OpenAI
2025-08-05
Pricing Comparison
Cost per million tokens (USD)
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GPT-OSS-20B
Input:$Infinity
Output:$Infinity
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Llama 4 Maverick
Input:$0.18
Output:$0.18($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 Maverick
1 providers
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GPT-OSS-20B
Avg Score:0.0%
Providers:1
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Llama 4 Maverick
Avg Score:0.0%
Providers:1