Output tokens cost $1.97 per million on glm-5.2 and $6.00 per million on grok-4.5. Input tokens cost $0.56 per million on glm-5.2 and $2.00 per million on grok-4.5. Cached input tokens are billed at $0.14 per million on glm-5.2 and $0.50 per million on grok-4.5. Discounted rates are shown where a promotion is active. Context windows are 1,000,000 tokens on glm-5.2 and 1,000,000 tokens on grok-4.5. First-token latency measured on AIHubMix is 1.8s on glm-5.2 and 1.8s on grok-4.5. Measured output throughput is 46.9 tokens/s on glm-5.2 and 38.4 tokens/s on grok-4.5.
glm-5.2
grok-4.5GLM-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.
Grok 4.5 was trained on datasets spanning knowledge in coding, science, engineering, and math. With both intelligent and efficient reasoning, Grok 4.5 excels at real engineering tasks and exceeds comparable leading models at these tasks.
Prices are per million tokens. Latency 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.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
glm-5.2: $1.97/M output tokens; grok-4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
grok-4.5: 1.8s first-token latency 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 grok-4.5 accepts 1,000,000 input tokens. Maximum output per request is 128,000 tokens on glm-5.2 and 1,000,000 tokens on grok-4.5.
glm-5.2 at 46.9 tokens/s and grok-4.5 at 38.4 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.
glm-5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; grok-4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context.
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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