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GPT-OSS-120B vs Llama 4 Behemoth
Comprehensive side-by-side LLM comparison
Llama 4 Behemoth offers 72.0K more tokens in context window than GPT-OSS-120B. Llama 4 Behemoth is $Infinity cheaper per million tokens. Llama 4 Behemoth supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-OSS-120B, released by OpenAI in August 2025, is an open-weight large language model with 120 billion parameters distributed under the Apache 2.0 license. It represents OpenAI's entry into the open-source model space, enabling developers to self-host and fine-tune a GPT-5-generation-class model. GPT-OSS-120B targets research applications, on-premises deployments, and custom fine-tuning workflows requiring a large open-weight base model.
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Meta AI
Llama 4 Behemoth is a research-scale Mixture-of-Experts language model with approximately 2 trillion total parameters (288 billion active per inference), developed by Meta as a teacher model for the Llama 4 family. Available only in limited preview, it serves as the knowledge distillation source for Llama 4 Scout and Maverick. Behemoth targets research applications requiring the largest-scale open-weight model architecture from the Llama 4 generation.
GPT-OSS-120B
OpenAI
2025-08
Pricing Comparison
Cost per million tokens (USD)
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GPT-OSS-120B
Input:$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-120B
1 providers
Hugging Face
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Llama 4 Behemoth
1 providers
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GPT-OSS-120B
Avg Score:0.0%
Providers:1
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Llama 4 Behemoth
Avg Score:0.0%
Providers:1