Gemini 2.5 Flash Preview 05-20 (thinking) vs Llama 3.1 405B
Compare Gemini 2.5 Flash Preview 05-20 (thinking) by Google AI against Llama 3.1 405B by Meta AI, context windows of 1.0M vs 128K, tested across 5 shared challenges. Updated April 2026.
Which is better, Gemini 2.5 Flash Preview 05-20 (thinking) or Llama 3.1 405B?
Gemini 2.5 Flash Preview 05-20 (thinking) and Llama 3.1 405B are both competitive models. Gemini 2.5 Flash Preview 05-20 (thinking) costs $0.15/M input tokens vs $2.7/M for Llama 3.1 405B. Context windows: 1049K vs 128K tokens. Compare their real outputs side by side below.
Key Differences Between Gemini 2.5 Flash Preview 05-20 (thinking) and Llama 3.1 405B
Gemini 2.5 Flash Preview 05-20 (thinking) is made by google while Llama 3.1 405B is from meta. Gemini 2.5 Flash Preview 05-20 (thinking) has a 1049K token context window compared to Llama 3.1 405B's 128K. On pricing, Gemini 2.5 Flash Preview 05-20 (thinking) costs $0.15/M input tokens vs $2.7/M for Llama 3.1 405B.
No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.
Style Comparison
Llama 3.1 405B uses 40.5x more hedging
vsAsk them anything yourself
Some models write identically. You are paying for the brand.
178 models fingerprinted across 32 writing dimensions. Free research.
185x
price gap between models that write identically
178
models
12
clone pairs
32
dimensions
279 AI models invented the same fake scientist.
We read every word. 250 models. 2.14 million words. This is what we found.
