GLM-5.3 is a coding and agentic reasoning model developed by Z.AI, designed for complex software engineering, long-horizon agent tasks, and vulnerability analysis. Built on GLM-5.2, it incorporates further post-training enhancements to improve coding capabilities, task execution, and token efficiency. The version currently available is an internal preview of GLM-5.3, with a TPM of approximately 1–2 million. As the model is still in testing, service stability is not guaranteed and it is not recommended for production use. We plan to add additional resources and capacity over the coming week to further improve availability and stability.
GLM 5.3 vs Grok 4.5
Output tokens cost $3.94 per million on GLM 5.3 and $6.00 per million on Grok 4.5. Input tokens cost $1.13 per million on GLM 5.3 and $2.00 per million on Grok 4.5. Cached input tokens are billed at $0.28 per million on GLM 5.3 and $0.50 per million on Grok 4.5. Context lengths are 1,000,000 tokens on GLM 5.3 and 500,000 tokens on Grok 4.5. Time to first token (TTFT) measured on AIHubMix is 6.0s on GLM 5.3 and 1.8s on Grok 4.5. Measured output throughput is 30.6 tok/s on GLM 5.3 and 30.9 tok/s on Grok 4.5.
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.
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 5.3, Grok 4.5?
GLM 5.3: $3.94/M output tokens; Grok 4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Grok 4.5: 1.8s 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 5.3 accepts 1,000,000 and Grok 4.5 accepts 500,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.3 and 500,000 tokens on Grok 4.5.
Which one generates tokens faster?
Grok 4.5 at 30.9 tok/s and GLM 5.3 at 30.6 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 5.3 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.
Can I call GLM 5.3 and Grok 4.5 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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