DeepSeek V3.1 vs Qwen: Qwen3 235B A22B Thinking 2507
Compare DeepSeek V3.1 by DeepSeek against Qwen: Qwen3 235B A22B Thinking 2507 by Qwen, context windows of 164K vs 131K, tested across 54 shared challenges. Updated April 2026.
Which is better, DeepSeek V3.1 or Qwen: Qwen3 235B A22B Thinking 2507?
DeepSeek V3.1 and Qwen: Qwen3 235B A22B Thinking 2507 are both competitive models. DeepSeek V3.1 costs $0.2/M input tokens vs $0.11/M for Qwen: Qwen3 235B A22B Thinking 2507. Context windows: 164K vs 131K tokens. Compare their real outputs side by side below.
Key Differences Between DeepSeek V3.1 and Qwen: Qwen3 235B A22B Thinking 2507
DeepSeek V3.1 is made by deepseek while Qwen: Qwen3 235B A22B Thinking 2507 is from qwen. DeepSeek V3.1 has a 164K token context window compared to Qwen: Qwen3 235B A22B Thinking 2507's 131K. On pricing, DeepSeek V3.1 costs $0.2/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.
Style Comparison
Qwen: Qwen3 235B A22B Thinking 2507 uses 22.9x 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
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.
