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Gemini 2.5 Pro vs Llama 4 Behemoth
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro offers 804.1K more tokens in context window than Llama 4 Behemoth. Llama 4 Behemoth is $5.25 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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Google DeepMind
Gemini 2.5 Pro, released by Google in May 2025, is a large language model from the Gemini 2.5 family designed for complex reasoning, coding, and long-context analysis tasks. It features a 1M token context window, native support for text, image, video, and audio input, and integrated thinking capabilities for multi-step problem solving. Gemini 2.5 Pro targets advanced coding workflows, scientific reasoning, and applications requiring deep understanding across large, mixed-modality contexts.
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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 2.5 Pro
Google DeepMind
2025-05-20
Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Pro
Input:$1.25
Output:$10.00
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Llama 4 Behemoth
Input:$3.00
Output:$3.00($5.25 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 2.5 Pro
Average Score:68.0%(+69.0%)
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Llama 4 Behemoth
Average Score:-1.0%
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.5 Pro
2 providers
Google Cloud Vertex AI
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Llama 4 Behemoth
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Gemini 2.5 Pro
Avg Score:68.0%(+69.0%)
Providers:2
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Llama 4 Behemoth
Avg Score:-1.0%
Providers:1