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 VL Flash
Output tokens cost $3.94 per million on GLM 5.2 and $0.21 per million on Qwen3 VL Flash. Input tokens cost $1.13 per million on GLM 5.2 and $0.02 per million on Qwen3 VL Flash. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $0.00 per million on Qwen3 VL Flash. Context lengths are 1,000,000 tokens on GLM 5.2 and 254,000 tokens on Qwen3 VL Flash. On the LMArena coding leaderboard GLM 5.2 scores 1505 and Qwen3 VL Flash scores 1466.
GLM 5.2The Qwen3 series of compact visual-understanding models achieves an effective fusion of thinking mode and non-thinking mode, outperforming the open-source Qwen3-VL-30B-A3B with faster response speeds. It comprehensively upgrades image and video understanding, supporting ultra-long contexts such as long videos and long documents, spatial awareness, and universal object recognition; it also possesses visual 2D/3D localization capabilities and is capable of handling complex real-world tasks.
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 VL Flash?
Qwen3 VL Flash: $0.21/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 VL Flash: 1466 (LMArena coding leaderboard).
How large is each context window?
GLM 5.2 accepts 1,000,000 and Qwen3 VL Flash accepts 254,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 32,000 tokens on Qwen3 VL Flash.
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 VL Flash accepts text, image and video input and supports tool calling, function calling and structured outputs.
Can I call GLM 5.2 and Qwen3 VL Flash 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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