Output tokens cost $3.94 per million on GLM 5.2 and $1.80 per million on Qwen3 Max. Input tokens cost $1.13 per million on GLM 5.2 and $0.45 per million on Qwen3 Max. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $0.09 per million on Qwen3 Max. Context lengths are 1,000,000 tokens on GLM 5.2 and 262,144 tokens on Qwen3 Max. Time to first token (TTFT) measured on AIHubMix is 0.6s on GLM 5.2 and 1.3s on Qwen3 Max. Measured output throughput is 46.7 tok/s on GLM 5.2 and 46.0 tok/s on Qwen3 Max. On the LMArena coding leaderboard GLM 5.2 scores 1505 and Qwen3 Max scores 1475.
GLM 5.2
Qwen3 MaxGLM-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.
The Tongyi Qianwen 3 series Max model has undergone special upgrades in intelligent agent programming and tool invocation compared to the preview version. The officially released model this time reaches SOTA level in the field and is adapted to more complex intelligent agent scenarios.
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.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
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.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Qwen3 Max: $1.80/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.
GLM 5.2: 1505; Qwen3 Max: 1475 (LMArena coding leaderboard).
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.
GLM 5.2 accepts 1,000,000 and Qwen3 Max accepts 262,144 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 65,536 tokens on Qwen3 Max.
GLM 5.2 at 46.7 tok/s and Qwen3 Max at 46.0 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; Qwen3 Max accepts text and image input and supports tool calling, function calling and structured outputs.
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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