DeepSeek V3 (March 2024) vs Qwen: Qwen3.5 397B A17B
Compare DeepSeek V3 (March 2024) by DeepSeek against Qwen: Qwen3.5 397B A17B by Qwen, context windows of 128K vs 262K, tested across 53 shared challenges. Updated April 2026.
Which is better, DeepSeek V3 (March 2024) or Qwen: Qwen3.5 397B A17B?
DeepSeek V3 (March 2024) and Qwen: Qwen3.5 397B A17B are both competitive models. DeepSeek V3 (March 2024) costs $0.14/M input tokens vs $0.6/M for Qwen: Qwen3.5 397B A17B. Context windows: 128K vs 262K tokens. Compare their real outputs side by side below.
Key Differences Between DeepSeek V3 (March 2024) and Qwen: Qwen3.5 397B A17B
DeepSeek V3 (March 2024) is made by deepseek while Qwen: Qwen3.5 397B A17B is from qwen. DeepSeek V3 (March 2024) has a 128K token context window compared to Qwen: Qwen3.5 397B A17B's 262K. On pricing, DeepSeek V3 (March 2024) costs $0.14/M input tokens vs $0.6/M for Qwen: Qwen3.5 397B A17B.
No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.
DeepSeek V3 (March 2024) is 13x cheaper per token — worth considering if cost matters.
Style Comparison
Qwen: Qwen3.5 397B A17B uses 2.2x more transitions
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.
