Silicon-based flow provision
Qwen/QwQ-32B vs glm-5.2
Output tokens cost $0.56 per million on Qwen/QwQ-32B and $2.76 per million on glm-5.2. Input tokens cost $0.14 per million on Qwen/QwQ-32B and $0.79 per million on glm-5.2. Cached input tokens are billed at $0.14 per million on Qwen/QwQ-32B and $0.20 per million on glm-5.2. Discounted rates are shown where a promotion is active. On the LMArena coding leaderboard Qwen/QwQ-32B scores 1385 and glm-5.2 scores 1507.
GLM-5.2 is Z.ai’s flagship model for the era of long-horizon tasks. With a truly usable 1M-token context window, it can handle project-level engineering context, execute long-running tasks more reliably, follow engineering standards more consistently, and complete the full development workflow from requirements to multi-platform deployment in a single task.
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Qwen/QwQ-32B, glm-5.2?
Qwen/QwQ-32B: $0.56/M output tokens; glm-5.2: $2.76/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
glm-5.2: 1507; Qwen/QwQ-32B: 1385 (LMArena coding leaderboard).
What inputs and capabilities does each model support?
Qwen/QwQ-32B supports tool calling, function calling and structured outputs; glm-5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.
Can I call Qwen/QwQ-32B and glm-5.2 with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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