DeepSeek V3.1 vs Llama 3.1 405B
Compare DeepSeek V3.1 by DeepSeek against Llama 3.1 405B by Meta AI, context windows of 164K vs 128K, tested across 12 shared challenges. Updated April 2026.
Which is better, DeepSeek V3.1 or Llama 3.1 405B?
DeepSeek V3.1 and Llama 3.1 405B are both competitive models. DeepSeek V3.1 costs $0.2/M input tokens vs $2.7/M for Llama 3.1 405B. Context windows: 164K vs 128K tokens. Compare their real outputs side by side below.
Key Differences Between DeepSeek V3.1 and Llama 3.1 405B
DeepSeek V3.1 is made by deepseek while Llama 3.1 405B is from meta. DeepSeek V3.1 has a 164K token context window compared to Llama 3.1 405B's 128K. On pricing, DeepSeek V3.1 costs $0.2/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.
DeepSeek V3.1 is 3.9x cheaper per token — worth considering if cost matters.
Style Comparison
DeepSeek V3.1 uses 395.2x 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.
