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-4.20-beta-0309-non-reasoning
Output tokens cost $3.94 per million on GLM 5.2 and $6.00 per million on grok-4.20-beta-0309-non-reasoning. Input tokens cost $1.13 per million on GLM 5.2 and $2.00 per million on grok-4.20-beta-0309-non-reasoning. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $0.20 per million on grok-4.20-beta-0309-non-reasoning. Context lengths are 1,000,000 tokens on GLM 5.2 and 2,000,000 tokens on grok-4.20-beta-0309-non-reasoning. Time to first token (TTFT) measured on AIHubMix is 0.6s on GLM 5.2 and 0.9s on grok-4.20-beta-0309-non-reasoning. Measured output throughput is 47.3 tok/s on GLM 5.2 and 89.0 tok/s on grok-4.20-beta-0309-non-reasoning.
GLM 5.2Grok 4.20 Beta is our latest flagship model, offering industry-leading speed and agent tool-invocation capabilities. It combines the lowest hallucination rate on the market with strict prompt adherence, enabling it to consistently deliver precise and factual responses.
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-4.20-beta-0309-non-reasoning?
GLM 5.2: $3.94/M output tokens; grok-4.20-beta-0309-non-reasoning: $6.00/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
GLM 5.2: 0.6s 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-4.20-beta-0309-non-reasoning accepts 2,000,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 2,000,000 tokens on grok-4.20-beta-0309-non-reasoning.
Which one generates tokens faster?
grok-4.20-beta-0309-non-reasoning at 89.0 tok/s and GLM 5.2 at 47.3 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-4.20-beta-0309-non-reasoning 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-4.20-beta-0309-non-reasoning 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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