Llama 3.1 405B vs Qwen: Qwen3 235B A22B Thinking 2507
Compare Llama 3.1 405B by Meta AI against Qwen: Qwen3 235B A22B Thinking 2507 by Qwen, context windows of 128K vs 131K, tested across 12 shared challenges. Updated April 2026.
Which is better, Llama 3.1 405B or Qwen: Qwen3 235B A22B Thinking 2507?
Llama 3.1 405B and Qwen: Qwen3 235B A22B Thinking 2507 are both competitive models. Llama 3.1 405B costs $2.7/M input tokens vs $0.11/M for Qwen: Qwen3 235B A22B Thinking 2507. Context windows: 128K vs 131K tokens. Compare their real outputs side by side below.
Key Differences Between Llama 3.1 405B and Qwen: Qwen3 235B A22B Thinking 2507
Llama 3.1 405B is made by meta while Qwen: Qwen3 235B A22B Thinking 2507 is from qwen. Llama 3.1 405B has a 128K token context window compared to Qwen: Qwen3 235B A22B Thinking 2507's 131K. On pricing, Llama 3.1 405B costs $2.7/M input tokens vs $0.11/M for Qwen: Qwen3 235B A22B Thinking 2507.
No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.
Qwen: Qwen3 235B A22B Thinking 2507 is 5.2x cheaper per token — worth considering if cost matters.
Style Comparison
Qwen: Qwen3 235B A22B Thinking 2507 uses 571.0x more bold
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.
