GLM-4.7 (Reasoning) vs Qwen3 Coder Next
Which is better for the money: GLM-4.7 (Reasoning) by Z AI or Qwen3 Coder Next by Alibaba? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-08-07.
Trade-off
Verdict
Depends on your budget
GLM-4.7 (Reasoning) scores 13.2 points higher (34.5 vs 21.3) but costs 2.4× as much to run the benchmark ($607 vs $250; premium vs mid-range cost classes). Pick GLM-4.7 (Reasoning) when the extra intelligence is worth the premium, otherwise Qwen3 Coder Next.
| Metric | GLM-4.7 (Reasoning) | Qwen3 Coder Next | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 34.5 | 21.3 | −38.3% Qwen3 Coder Next is 38.3% less intelligent |
| Total AA cost (lower is better) | $607.19 | $250.18 | −58.8% Qwen3 Coder Next is 58.8% cheaper |
| End-to-end time (lower is better) | 27.02s | 5.28s | −80.5% Qwen3 Coder Next is 80.5% faster |
| Price per 1M tokens (in / out) | $0.60 / $2.20 | $0.35 / $1.20 | |
| Input modalities | Not reported | Not reported |
Qwen3 Coder Next vs GLM-4.7 (Reasoning): 38.3% less intelligence, 58.8% less cost to run the AA benchmark, and 80.5% faster end-to-end.
Today's Pareto frontier
Against the frontier
- GLM-4.7 (Reasoning) is off the frontier: at the same or lower cost, Grok 4.5 (high) scores 55.80 for $579.
- Qwen3 Coder Next is off the frontier: at the same or lower cost, GPT-5.6 Luna (max) scores 52.30 for $172.
GLM-4.7 (Reasoning)Qwen3 Coder NextToday's Pareto frontierEvery other model
Matchup
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Accept: text/markdown or ?format=md returns this page as Markdown. JSON: /api/v1/compare/glm-4-7/qwen3-coder-next · Markdown: /api/v1/compare/glm-4-7/qwen3-coder-next?format=md · llms.txt · agent skill