DeepSeek V3.1 (Reasoning) vs GLM-5.2 (Non-reasoning)
DeepSeek V3.1 (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 (Reasoning) | GLM-5.2 (Non-reasoning) | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 13.5 | 22.4 | +65.9% GLM-5.2 (Non-reasonin… is 65.9% more intelligent |
| Total AA cost (lower is better) | Not reported | Not reported | — not comparable |
| End-to-end time (lower is better) | 23.64s | 3.91s | −83.5% GLM-5.2 (Non-reasonin… is 83.5% faster |
| Price per 1M tokens (in / out) | $0.58 / $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-reasoning/glm-5-2-non-reasoning · Markdown: /api/v1/compare/deepseek-v3-1-reasoning/glm-5-2-non-reasoning?format=md · llms.txt · agent skill