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 Coder Plus 2025 07-22
Output tokens cost $3.94 per million on GLM 5.2 and $2.16 per million on Qwen3 Coder Plus 2025 07-22. Input tokens cost $1.13 per million on GLM 5.2 and $0.54 per million on Qwen3 Coder Plus 2025 07-22. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $0.54 per million on Qwen3 Coder Plus 2025 07-22. Context lengths are 1,000,000 tokens on GLM 5.2 and 128,000 tokens on Qwen3 Coder Plus 2025 07-22. Time to first token (TTFT) measured on AIHubMix is 1.1s on GLM 5.2 and 1.6s on Qwen3 Coder Plus 2025 07-22. Measured output throughput is 37.0 tok/s on GLM 5.2 and 82.7 tok/s on Qwen3 Coder Plus 2025 07-22.
GLM 5.2The code generation model based on Qwen3 has powerful Coding Agent capabilities, excels in tool invocation and environment interaction, and can achieve autonomous programming with outstanding coding abilities while also possessing general capabilities.The model adopts tiered pricing.
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 (%)
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 Coder Plus 2025 07-22?
Qwen3 Coder Plus 2025 07-22: $2.16/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
GLM 5.2: 1.1s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
GLM 5.2 accepts 1,000,000 and Qwen3 Coder Plus 2025 07-22 accepts 128,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 65,536 tokens on Qwen3 Coder Plus 2025 07-22.
Which one generates tokens faster?
Qwen3 Coder Plus 2025 07-22 at 82.7 tok/s and GLM 5.2 at 37.0 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 Coder Plus 2025 07-22 accepts text input and supports tool calling, function calling and structured outputs.
Can I call GLM 5.2 and Qwen3 Coder Plus 2025 07-22 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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