GLM-4.6 (Reasoning) vs HyperNova 60B 2605
Which is better for the money: GLM-4.6 (Reasoning) by Z AI or HyperNova 60B 2605 by Multiverse Computing? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-07-17.
Trade-off
Verdict
Depends on your budget
GLM-4.6 (Reasoning) scores 10.9 points higher (28.7 vs 17.8) but costs 8.9× as much to run the benchmark ($313 vs $35.0; mid-range vs budget cost classes). They are not alternatives at one budget: pick GLM-4.6 (Reasoning) when you need intelligence above 17.8, and HyperNova 60B 2605 when 17.8 is enough.
| Metric | GLM-4.6 (Reasoning) | HyperNova 60B 2605 | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 28.7 | 17.8 | −38.0% HyperNova 60B 2605 is 38.0% less intelligent |
| Total AA cost (lower is better) | $312.72 | $35.05 | −88.8% HyperNova 60B 2605 is 88.8% cheaper |
| End-to-end time (lower is better) | 65.39s | 8.32s | −87.3% HyperNova 60B 2605 is 87.3% faster |
| Price per 1M tokens (in / out) | $0.55 / $2.20 | $0.04 / $0.14 | |
| Input modalities | Not reported | Not reported |
HyperNova 60B 2605 vs GLM-4.6 (Reasoning): 38.0% less intelligence, 88.8% less cost to run the AA benchmark, and 87.3% faster end-to-end.
Today's Pareto frontier
Against the frontier
- GLM-4.6 (Reasoning) is off the frontier: at the same or lower cost, GPT-5.6 Luna (high) scores 46.10 for $275.
- HyperNova 60B 2605 is off the frontier: at the same or lower cost, MiMo-V2.5 scores 37.20 for $25.2.
GLM-4.6 (Reasoning)HyperNova 60B 2605Today'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-4-6-reasoning/hypernova-60b · Markdown: /api/v1/compare/glm-4-6-reasoning/hypernova-60b?format=md · llms.txt · agent skill