Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 3.2% higher average benchmark score. Llama 4 Maverick offers 943.2K more tokens in context window than Gemini 2.0 Flash. Both models have similar pricing. Llama 4 Maverick is available on 7 providers. Both models have their strengths depending on your specific coding needs.
Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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.
4 months newer
Gemini 2.0 Flash
2024-12-01
Llama 4 Maverick
Meta
2025-04-05
Cost per million tokens (USD)
Gemini 2.0 Flash
Llama 4 Maverick
Context window and performance specifications
Average performance across 21 common benchmarks
Gemini 2.0 Flash
Llama 4 Maverick
Gemini 2.0 Flash
2024-08-01
Available providers and their performance metrics
Gemini 2.0 Flash
Llama 4 Maverick
Gemini 2.0 Flash
Llama 4 Maverick
Gemini 2.0 Flash
Llama 4 Maverick
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