Gemini 2.0 Flash Thinking vs Llama 3.1 405B
Compare Gemini 2.0 Flash Thinking by Google AI against Llama 3.1 405B by Meta AI, context windows of 500K vs 128K, tested across 3 shared challenges. Updated May 2026.
Which is better, Gemini 2.0 Flash Thinking or Llama 3.1 405B?
Gemini 2.0 Flash Thinking and Llama 3.1 405B are both competitive models. Gemini 2.0 Flash Thinking costs $0.25/M input tokens vs $2.7/M for Llama 3.1 405B. Context windows: 500K vs 128K tokens. Compare their real outputs side by side below.
Key Differences Between Gemini 2.0 Flash Thinking and Llama 3.1 405B
Gemini 2.0 Flash Thinking is made by google while Llama 3.1 405B is from meta. Gemini 2.0 Flash Thinking has a 500K token context window compared to Llama 3.1 405B's 128K. On pricing, Gemini 2.0 Flash Thinking costs $0.25/M input tokens vs $2.7/M for Llama 3.1 405B.
Per 1M tokens
Gemini 2.0 Flash Thinking is cheaper on both — 11× input, 6.2× output
No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.
Gemini 2.0 Flash Thinking is 6.2x cheaper per token — worth considering if cost matters.
Style Comparison
Gemini 2.0 Flash Thinking uses 376.7x more bold
