Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 8.0% higher average benchmark score. Gemini 2.5 Pro offers 4.1K more tokens in context window than Llama 4 Maverick. Llama 4 Maverick is $10.89 cheaper per million tokens. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
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.
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.
1 month newer

Llama 4 Maverick
Meta AI
2025-04-05

Gemini 2.5 Pro
Google DeepMind
2025-05-20
Cost per million tokens (USD)
Gemini 2.5 Pro
Llama 4 Maverick
Context window and performance specifications
Average performance across 1 common benchmarks
Gemini 2.5 Pro
Llama 4 Maverick
Performance comparison across key benchmark categories
Gemini 2.5 Pro
Llama 4 Maverick
Available providers and their performance metrics
Gemini 2.5 Pro
Google Cloud Vertex AI
Llama 4 Maverick
Gemini 2.5 Pro
Llama 4 Maverick
Gemini 2.5 Pro
Llama 4 Maverick
Together AI