Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash leads with 2.6% higher average benchmark score. Gemini 2.5 Flash offers 4.1K more tokens in context window than Llama 4 Maverick. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
Google DeepMind
Gemini 2.5 Flash, released by Google in June 2025, is a large language model from the Gemini 2.5 family optimized for high-throughput, cost-efficient deployments with multimodal reasoning. It features a 1M token context window, hybrid thinking control, and native support for text, image, video, and audio input. Gemini 2.5 Flash targets latency-sensitive applications, document analysis, and high-volume API workloads that benefit from combined reasoning and generation in a single model.
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.
2 months newer

Llama 4 Maverick
Meta AI
2025-04-05

Gemini 2.5 Flash
Google DeepMind
2025-06-17
Cost per million tokens (USD)
Gemini 2.5 Flash
Llama 4 Maverick
Context window and performance specifications
Average performance across 1 common benchmarks
Gemini 2.5 Flash
Llama 4 Maverick
Performance comparison across key benchmark categories
Gemini 2.5 Flash
Llama 4 Maverick
Available providers and their performance metrics
Gemini 2.5 Flash
Google Cloud Vertex AI
Llama 4 Maverick
Gemini 2.5 Flash
Llama 4 Maverick
Gemini 2.5 Flash
Llama 4 Maverick
Together AI