Quasar 438B (Max, Based on GLM-5.2) vs Qwen3 235B A22B 2507 (Reasoning)
Which is better for the money: Quasar 438B (Max, Based on GLM-5.2) by Multiverse Computing or Qwen3 235B A22B 2507 (Reasoning) by Alibaba? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-26.
Trade-off
Verdict
Depends on your budget
Quasar 438B (Max, Based on GLM-5.2) scores 14.0 points higher (26.7 vs 12.7) but costs 1.1× as much to run the benchmark ($246 vs $234; both mid-range class). Pick Quasar 438B (Max, Based on GLM-5.2) when the extra intelligence is worth the premium, otherwise Qwen3 235B A22B 2507 (Reasoning).
| Metric | Quasar 438B (Max, Based on GLM-5.2) | Qwen3 235B A22B 2507 (Reasoning) | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 26.7 | 12.7 | −52.4% Qwen3 235B A22B 2507 … is 52.4% less intelligent |
| Total AA cost (lower is better) | $246.48 | $233.56 | −5.2% Qwen3 235B A22B 2507 … is 5.2% cheaper |
| End-to-end time (lower is better) | 16.51s | 22.73s | +37.7% Qwen3 235B A22B 2507 … is 37.7% slower |
| Price per 1M tokens (in / out) | $0.11 / $0.33 | $0.23 / $2.30 | |
| Input modalities | Text | Text |
Qwen3 235B A22B 2507 (Reasoning) vs Quasar 438B (Max, Based on GLM-5.2): 52.4% less intelligence, 5.2% less cost to run the AA benchmark, and 37.7% slower end-to-end.
Today's Pareto frontier
Against the frontier
- Quasar 438B (Max, Based on GLM-5.2) is off the frontier: at the same or lower cost, MiMo-V2.6-Pro scores 46.30 for $207.
- Qwen3 235B A22B 2507 (Reasoning) is off the frontier: at the same or lower cost, MiMo-V2.6-Pro scores 46.30 for $207.
Quasar 438B (Max, Based on GLM-5.2)Qwen3 235B A22B 2507 (Reasoning)Today's Pareto frontierOpen-weights frontierEvery other model
Matchup
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Accept: text/markdown or ?format=md returns this page as Markdown. JSON: /api/v1/compare/quasar-438b/qwen3-235b-a22b-instruct-2507-reasoning · Markdown: /api/v1/compare/quasar-438b/qwen3-235b-a22b-instruct-2507-reasoning?format=md · llms.txt · agent skill