Compare Gemini 2.5 Flash Preview 05-20 (thinking) by Google AI against Llama 4 Maverick by Meta AI, context windows of 1.0M vs 1.0M, tested across 11 shared challenges. Updated May 2026.
Gemini 2.5 Flash Preview 05-20 (thinking) and Llama 4 Maverick are both competitive models. Gemini 2.5 Flash Preview 05-20 (thinking) costs $0.15/M input tokens vs $1.5/M for Llama 4 Maverick. Context windows: 1049K vs 1000K tokens. Compare their real outputs side by side below.
Gemini 2.5 Flash Preview 05-20 (thinking) is made by google while Llama 4 Maverick is from meta. Gemini 2.5 Flash Preview 05-20 (thinking) has a 1049K token context window compared to Llama 4 Maverick's 1000K. On pricing, Gemini 2.5 Flash Preview 05-20 (thinking) costs $0.15/M input tokens vs $1.5/M for Llama 4 Maverick.
Gemini 2.5 Flash Preview 05-20 (thinking) wins input (10× cheaper)·Llama 4 Maverick wins output (1.4× cheaper)
No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.
Llama 4 Maverick uses 76.4x more hedging
Compare Gemini 2.5 Flash Preview 05-20 (thinking) by Google AI against Llama 4 Maverick by Meta AI, context windows of 1.0M vs 1.0M, tested across 11 shared challenges. Updated May 2026.
Gemini 2.5 Flash Preview 05-20 (thinking) and Llama 4 Maverick are both competitive models. Gemini 2.5 Flash Preview 05-20 (thinking) costs $0.15/M input tokens vs $1.5/M for Llama 4 Maverick. Context windows: 1049K vs 1000K tokens. Compare their real outputs side by side below.
Gemini 2.5 Flash Preview 05-20 (thinking) is made by google while Llama 4 Maverick is from meta. Gemini 2.5 Flash Preview 05-20 (thinking) has a 1049K token context window compared to Llama 4 Maverick's 1000K. On pricing, Gemini 2.5 Flash Preview 05-20 (thinking) costs $0.15/M input tokens vs $1.5/M for Llama 4 Maverick.
Gemini 2.5 Flash Preview 05-20 (thinking) wins input (10× cheaper)·Llama 4 Maverick wins output (1.4× cheaper)
No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.
Llama 4 Maverick uses 76.4x more hedging