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 grok-4.6
Output tokens cost $2.76 per million on glm-5.2 and $6.00 per million on grok-4.6. Input tokens cost $0.79 per million on glm-5.2 and $2.00 per million on grok-4.6. Cached input tokens are billed at $0.20 per million on glm-5.2 and $0.50 per million on grok-4.6. Discounted rates are shown where a promotion is active. Context lengths are 1,000,000 tokens on glm-5.2 and 500,000 tokens on grok-4.6. Time to first token (TTFT) measured on AIHubMix is 0.9s on glm-5.2 and 1.6s on grok-4.6. Measured output throughput is 45.6 tok/s on glm-5.2 and 19.0 tok/s on grok-4.6.
Grok 4.6 is xAI’s latest AI model, built on Grok 4.5, with a particular focus on long-running agents and more ambitious interactive and visual work. It can persistently complete complex, multi-step tasks—whether researching a topic, analyzing information, working across codebases, or turning an idea into a polished application or deliverable.
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, grok-4.6?
glm-5.2: $2.76/M output tokens; grok-4.6: $6.00/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
glm-5.2: 0.9s 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 grok-4.6 accepts 500,000 input tokens. Maximum output per request is 128,000 tokens on glm-5.2 and 500,000 tokens on grok-4.6.
Which one generates tokens faster?
glm-5.2 at 45.6 tok/s and grok-4.6 at 19.0 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; grok-4.6 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context.
Can I call glm-5.2 and grok-4.6 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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