DeepSeek V3.1 (Non-reasoning) vs GLM-5.2 (Non-reasoning)
DeepSeek V3.1 (Non-reasoning) vs GLM-5.2 (Non-reasoning). A reliable intelligence-versus-cost verdict requires both models' intelligence scores and benchmark-run costs. Missing data is not a performance verdict.
Verdict
Comparison incomplete
A reliable intelligence-versus-cost verdict requires both models' intelligence scores and benchmark-run costs. Missing data is not a performance verdict.
| Metric | DeepSeek V3.1 (Non-reasoning) | GLM-5.2 (Non-reasoning) | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 13.7 | 22.4 | +63.5% GLM-5.2 (Non-reasonin… is 63.5% more intelligent |
| Total AA cost (lower is better) | Not reported | Not reported | — not comparable |
| End-to-end time (lower is better) | 6.55s | 3.88s | −40.8% GLM-5.2 (Non-reasonin… is 40.8% faster |
| Price per 1M tokens (in / out) | $0.56 / $1.68 | $1.40 / $4.40 | |
| Input modalities | Text | Text |
Matchup
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Accept: text/markdown or ?format=md returns this page as Markdown. JSON: /api/v1/compare/deepseek-v3-1/glm-5-2-non-reasoning · Markdown: /api/v1/compare/deepseek-v3-1/glm-5-2-non-reasoning?format=md · llms.txt · agent skill