Llama 3.1 70B (Instruct) vs Qwen: Qwen3 Max Thinking
Compare Llama 3.1 70B (Instruct) by Meta AI against Qwen: Qwen3 Max Thinking by Qwen, context windows of 128K vs 262K, tested across 52 shared challenges. Updated April 2026.
Which is better, Llama 3.1 70B (Instruct) or Qwen: Qwen3 Max Thinking?
Llama 3.1 70B (Instruct) and Qwen: Qwen3 Max Thinking are both competitive models. Llama 3.1 70B (Instruct) costs $0.59/M input tokens vs $1.2/M for Qwen: Qwen3 Max Thinking. Context windows: 128K vs 262K tokens. Compare their real outputs side by side below.
Key Differences Between Llama 3.1 70B (Instruct) and Qwen: Qwen3 Max Thinking
Llama 3.1 70B (Instruct) is made by meta while Qwen: Qwen3 Max Thinking is from qwen. Llama 3.1 70B (Instruct) has a 128K token context window compared to Qwen: Qwen3 Max Thinking's 262K. On pricing, Llama 3.1 70B (Instruct) costs $0.59/M input tokens vs $1.2/M for Qwen: Qwen3 Max Thinking.
No community votes yet. On paper, Qwen: Qwen3 Max Thinking has the edge — bigger model tier, newer, bigger context window.
Llama 3.1 70B (Instruct) is 7.6x cheaper per token — worth considering if cost matters.
Style Comparison
Qwen: Qwen3 Max Thinking uses 137.1x more emoji
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
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12
clone pairs
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dimensions
279 AI models invented the same fake scientist.
We read every word. 250 models. 2.14 million words. This is what we found.
