GPT-4.1
Nothing here. The model returned empty. We stared at it for a while.
GPT-4.1 vs Qwen3 Coder Next
Compare GPT-4.1 by OpenAI against Qwen3 Coder Next by Qwen, in 1 community votes, gpt-4.1 wins 100% of head-to-head duels, context windows of 1.0M vs 262K, tested across 38 shared challenges. Updated April 2026.
Which is better, GPT-4.1 or Qwen3 Coder Next?
GPT-4.1 is the better choice overall, winning 100% of 1 blind community votes on Rival. GPT-4.1 costs $2/M input tokens vs $0.2/M for Qwen3 Coder Next. Context windows: 1048K vs 262K tokens. Compare their real outputs side by side below.
Key Differences Between GPT-4.1 and Qwen3 Coder Next
GPT-4.1 is made by openai while Qwen3 Coder Next is from qwen. GPT-4.1 has a 1048K token context window compared to Qwen3 Coder Next's 262K. On pricing, GPT-4.1 costs $2/M input tokens vs $0.2/M for Qwen3 Coder Next. In community voting, In 1 community votes, GPT-4.1 wins 100% of head-to-head duels.
In 1 community votes, GPT-4.1 wins 100% of head-to-head duels. Based on blind community voting from the Rival open dataset of 1+ human preference judgments for this pair.
Our Verdict
GPT-4.1Winner
Qwen3 Coder NextRunner-up
Pick GPT-4.1. In 1 blind votes, GPT-4.1 wins 100% of the time. That's not luck.
Qwen3 Coder Next is 5.3x cheaper per token — worth considering if cost matters.
Clear winner
Writing DNA
Style Comparison
Similarity
100%
Qwen3 Coder Next uses 3.6x more emoji
GPT-4.1
Qwen3 Coder Next
58%Vocabulary58%
19wSentence Length19w
0.38Hedging0.29
9.0Bold6.3
6.1Lists4.0
0.24Emoji0.86
1.01Headings0.92
0.07Transitions0.07
Based on 25 + 21 text responses
vsAsk them anything yourself
Some models write identically. You are paying for the brand.
178 models fingerprinted across 32 writing dimensions. Free research.
Model Similarity Index
185x
price gap between models that write identically
178
models
12
clone pairs
32
dimensions
Devstral M / S
95.7%
Qwen3 Coder / Flash
95.6%
GPT-5.4 / Mini
93.3%
279 AI models invented the same fake scientist.
We read every word. 250 models. 2.14 million words. This is what we found.
Free preview13 of 58 slides
FAQ