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GPT-5 vs Llama 4 Behemoth
Comprehensive side-by-side LLM comparison
GPT-5 offers 228.7K more tokens in context window than Llama 4 Behemoth. Llama 4 Behemoth is $144.00 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-5, released by OpenAI on August 7, 2025, is a large language model that combines direct generation and extended reasoning in a single unified system with a built-in routing mechanism. It features a 400K token context window, 128K maximum output tokens, native multimodal support (text, image, audio, video), and demonstrated strong results across coding, mathematics, visual understanding, and health benchmarks at release. GPT-5 targets complex multi-step tasks including advanced coding, mathematical problem solving, and long-context analysis.
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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-5
OpenAI
2025-08-07
Pricing Comparison
Cost per million tokens (USD)
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GPT-5
Input:$30.00
Output:$120.00
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Llama 4 Behemoth
Input:$3.00
Output:$3.00($144.00 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-5
Average Score:78.4%(+79.4%)
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Llama 4 Behemoth
Average Score:-1.0%
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Knowledge Cutoff
Training data recency comparison
GPT-5
2025-05
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5
1 providers
OpenAI
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Llama 4 Behemoth
1 providers
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GPT-5
Avg Score:78.4%(+79.4%)
Providers:1
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Llama 4 Behemoth
Avg Score:-1.0%
Providers:1