GPT-5
Nothing here. The model returned empty. We stared at it for a while.
GPT-5 vs Qwen: Qwen3.5 Plus 2026-02-15
Compare GPT-5 by OpenAI against Qwen: Qwen3.5 Plus 2026-02-15 by Qwen, in 13 community votes, qwen: qwen3.5 plus 2026-02-15 wins 69% of head-to-head duels, context windows of 400K vs 1.0M, tested across 46 shared challenges. Updated April 2026.
Which is better, GPT-5 or Qwen: Qwen3.5 Plus 2026-02-15?
Qwen: Qwen3.5 Plus 2026-02-15 is the better choice overall, winning 69% of 13 blind community votes on Rival. GPT-5 costs $1.25/M input tokens vs $0.4/M for Qwen: Qwen3.5 Plus 2026-02-15. Context windows: 400K vs 1000K tokens. Compare their real outputs side by side below.
Key Differences Between GPT-5 and Qwen: Qwen3.5 Plus 2026-02-15
GPT-5 is made by openai while Qwen: Qwen3.5 Plus 2026-02-15 is from qwen. GPT-5 has a 400K token context window compared to Qwen: Qwen3.5 Plus 2026-02-15's 1000K. On pricing, GPT-5 costs $1.25/M input tokens vs $0.4/M for Qwen: Qwen3.5 Plus 2026-02-15. In community voting, In 13 community votes, Qwen: Qwen3.5 Plus 2026-02-15 wins 69% of head-to-head duels.
In 13 community votes, Qwen: Qwen3.5 Plus 2026-02-15 wins 69% of head-to-head duels. Qwen: Qwen3.5 Plus 2026-02-15 leads in Web Design. Based on blind community voting from the Rival open dataset of 13+ human preference judgments for this pair.
Web Design: Qwen: Qwen3.5 Plus 2026-02-15 wins 78% of votes
Image Generation: GPT-5 and Qwen: Qwen3.5 Plus 2026-02-15 are tied
Our Verdict
Qwen: Qwen3.5 Plus 2026-02-15Winner
GPT-5Runner-up
Pick Qwen: Qwen3.5 Plus 2026-02-15. In 13 blind votes, Qwen: Qwen3.5 Plus 2026-02-15 wins 69% of the time. That's not luck.
Qwen: Qwen3.5 Plus 2026-02-15 particularly excels in Web Design. Qwen: Qwen3.5 Plus 2026-02-15 is 4.2x cheaper per token — worth considering if cost matters.
Clear winner
Writing DNA
Style Comparison
Similarity
98%
Qwen: Qwen3.5 Plus 2026-02-15 uses 10.0x more emoji
GPT-5
Qwen: Qwen3.5 Plus 2026-02-15
65%Vocabulary54%
13wSentence Length18w
0.20Hedging0.51
0.2Bold5.3
4.6Lists2.9
0.00Emoji0.10
0.16Headings0.75
0.03Transitions0.09
Based on 16 + 23 text responses
vsAsk them anything yourself
279 AI models invented the same fake scientist.
We read every word. 250 models. 2.14 million words. This is what we found.
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