DeepSeek Prover V2 vs Qwen: Qwen3.5 397B A17B
Compare DeepSeek Prover V2 by DeepSeek against Qwen: Qwen3.5 397B A17B by Qwen, context windows of 164K vs 262K, tested across 6 shared challenges. Updated April 2026.
Which is better, DeepSeek Prover V2 or Qwen: Qwen3.5 397B A17B?
DeepSeek Prover V2 and Qwen: Qwen3.5 397B A17B are both competitive models. DeepSeek Prover V2 costs $0/M input tokens vs $0.6/M for Qwen: Qwen3.5 397B A17B. Context windows: 164K vs 262K tokens. Compare their real outputs side by side below.
Key Differences Between DeepSeek Prover V2 and Qwen: Qwen3.5 397B A17B
DeepSeek Prover V2 is made by deepseek while Qwen: Qwen3.5 397B A17B is from qwen. DeepSeek Prover V2 has a 164K token context window compared to Qwen: Qwen3.5 397B A17B's 262K. On pricing, DeepSeek Prover V2 costs $0/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.
Style Comparison
Qwen: Qwen3.5 397B A17B uses 38.6x more hedging
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.
