GLM 4.7 Flash
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GLM 4.7 Flash vs Qwen3 Coder Next
Compare GLM 4.7 Flash by Zhipu AI against Qwen3 Coder Next by Qwen, in 28 community votes, qwen3 coder next wins 72% of head-to-head duels, context windows of 200K vs 262K, tested across 53 shared challenges. Updated April 2026.
Which is better, GLM 4.7 Flash or Qwen3 Coder Next?
Qwen3 Coder Next is the better choice overall, winning 72% of 28 blind community votes on Rival. GLM 4.7 Flash costs $0.07/M input tokens vs $0.2/M for Qwen3 Coder Next. Context windows: 200K vs 262K tokens. Compare their real outputs side by side below.
Key Differences Between GLM 4.7 Flash and Qwen3 Coder Next
GLM 4.7 Flash is made by zhipu while Qwen3 Coder Next is from qwen. GLM 4.7 Flash has a 200K token context window compared to Qwen3 Coder Next's 262K. On pricing, GLM 4.7 Flash costs $0.07/M input tokens vs $0.2/M for Qwen3 Coder Next. In community voting, In 28 community votes, Qwen3 Coder Next wins 72% of head-to-head duels.
In 28 community votes, Qwen3 Coder Next wins 72% of head-to-head duels. GLM 4.7 Flash leads in Image Generation, while Qwen3 Coder Next leads in Web Design, Reasoning, Conversation. Based on blind community voting from the Rival open dataset of 28+ human preference judgments for this pair.
Web Design: Qwen3 Coder Next wins 56% of votes
Reasoning: Qwen3 Coder Next wins 100% of votes
Conversation: Qwen3 Coder Next wins 75% of votes
Analysis: Qwen3 Coder Next wins 100% of votes
Image Generation: GLM 4.7 Flash wins 67% of votes
Financial Modeling: Qwen3 Coder Next wins 100% of votes
Our Verdict
Qwen3 Coder NextWinner
GLM 4.7 FlashRunner-up
Pick Qwen3 Coder Next. In 28 blind votes, Qwen3 Coder Next wins 72% of the time. That's not luck.
Pick GLM 4.7 Flash for Image Generation. Pick Qwen3 Coder Next for Reasoning, Analysis, Financial Modeling. GLM 4.7 Flash is 3.8x cheaper per token — worth considering if cost matters.
Clear winner
Writing DNA
Style Comparison
Similarity
78%
Qwen3 Coder Next uses 85.8x more emoji
GLM 4.7 Flash
Qwen3 Coder Next
52%Vocabulary58%
15wSentence Length19w
0.33Hedging0.29
5.8Bold6.3
4.7Lists4.0
0.00Emoji0.86
0.68Headings0.92
0.13Transitions0.07
Based on 19 + 21 text responses
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