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Gemini 3 Pro vs Llama 4 Behemoth
Comprehensive side-by-side LLM comparison
Gemini 3 Pro offers 804.1K more tokens in context window than Llama 4 Behemoth. Llama 4 Behemoth is $16.50 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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Google DeepMind
Gemini 3 Pro, released by Google in November 2025, is a large language model from the Gemini 3 family designed for complex reasoning, broad world knowledge, and multi-step problem solving. It features a 1M token context window, 64K maximum output tokens, and native multimodal input including text, images, audio, and video. Gemini 3 Pro targets research-grade reasoning, advanced data analysis, and applications requiring comprehensive understanding across diverse input formats.
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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.
Gemini 3 Pro
Google DeepMind
2025-11-18
Pricing Comparison
Cost per million tokens (USD)
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Gemini 3 Pro
Input:$2.50
Output:$20.00
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Llama 4 Behemoth
Input:$3.00
Output:$3.00($16.50 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 3 Pro
2 providers
Google Cloud Vertex AI
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Llama 4 Behemoth
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Gemini 3 Pro
Avg Score:0.0%
Providers:2
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Llama 4 Behemoth
Avg Score:0.0%
Providers:1