Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 2.3% higher average benchmark score. Llama 4 Maverick offers 885.9K more tokens in context window than Gemini 2.5 Flash. Llama 4 Maverick is $2.03 cheaper per million tokens. Llama 4 Maverick is available on 7 providers. Both models have their strengths depending on your specific coding needs.
Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
Meta
Llama 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
1 month newer
Llama 4 Maverick
Meta
2025-04-05
Gemini 2.5 Flash
2025-05-20
Cost per million tokens (USD)
Gemini 2.5 Flash
Llama 4 Maverick
Context window and performance specifications
Average performance across 25 common benchmarks
Gemini 2.5 Flash
Llama 4 Maverick
Gemini 2.5 Flash
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Flash
ZeroEval
Gemini 2.5 Flash
Llama 4 Maverick
Gemini 2.5 Flash
Llama 4 Maverick
Llama 4 Maverick
DeepInfra
Fireworks
Groq
Lambda
Novita
Sambanova
Together