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.
GLM 5.2 vs Qwen3 Max Preview
Output tokens cost $3.94 per million on GLM 5.2 and $3.38 per million on Qwen3 Max Preview. Input tokens cost $1.13 per million on GLM 5.2 and $0.85 per million on Qwen3 Max Preview. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $0.85 per million on Qwen3 Max Preview. Time to first token (TTFT) measured on AIHubMix is 0.6s on GLM 5.2 and 1.2s on Qwen3 Max Preview. Measured output throughput is 44.5 tok/s on GLM 5.2 and 7.4 tok/s on Qwen3 Max Preview. On the LMArena coding leaderboard GLM 5.2 scores 1505 and Qwen3 Max Preview scores 1482.
GLM 5.2Qwen3-Max-Preview is the latest preview model in the Qwen3 series. This version is functionally equivalent to Qwen3-Max-Thinking — simply set extra_body={"enable_thinking": True} to enable the thinking mode. Compared to the Qwen2.5 series, it delivers significant improvements in overall general capabilities, including English–Chinese text understanding, complex instruction following, open-ended reasoning, multilingual processing, and tool-use proficiency. The model also exhibits fewer hallucinations and stronger overall reliability.
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: GLM 5.2, Qwen3 Max Preview?
Qwen3 Max Preview: $3.38/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
GLM 5.2: 1505; Qwen3 Max Preview: 1482 (LMArena coding leaderboard).
Which responds faster?
GLM 5.2: 0.6s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Which one generates tokens faster?
GLM 5.2 at 44.5 tok/s and Qwen3 Max Preview at 7.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; Qwen3 Max Preview accepts text and image input and supports tool calling, function calling and structured outputs.
Can I call GLM 5.2 and Qwen3 Max Preview 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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