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 Longcat 2.0
Output tokens cost $3.94 per million on GLM 5.2 and $3.10 per million on Longcat 2.0. Input tokens cost $1.13 per million on GLM 5.2 and $0.77 per million on Longcat 2.0. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $0.02 per million on Longcat 2.0. Time to first token (TTFT) measured on AIHubMix is 1.1s on GLM 5.2 and 6.1s on Longcat 2.0. Measured output throughput is 37.9 tok/s on GLM 5.2 and 38.5 tok/s on Longcat 2.0.
GLM 5.2
Longcat 2.0Designed for agent development scenarios, it natively supports tool invocation, multi-step reasoning, and long-context tasks; it excels at code generation, automated workflows, and executing complex instructions; and it is deeply adapted to productivity tools such as Claude Code, OpenClaw, OpenCode, and Kilo Code.
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, Longcat 2.0?
Longcat 2.0: $3.10/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.
Which one generates tokens faster?
Longcat 2.0 at 38.5 tok/s and GLM 5.2 at 37.9 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; Longcat 2.0 accepts text input and supports thinking and tool calling.
Can I call GLM 5.2 and Longcat 2.0 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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