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 (reasoning)
Output tokens cost $3.94 per million on GLM 5.2 and $6.00 per million on Grok 4.20 Beta 0309 (reasoning). Input tokens cost $1.13 per million on GLM 5.2 and $2.00 per million on Grok 4.20 Beta 0309 (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 (reasoning). Context lengths are 1,000,000 tokens on GLM 5.2 and 2,000,000 tokens on Grok 4.20 Beta 0309 (reasoning). Time to first token (TTFT) measured on AIHubMix is 1.1s on GLM 5.2 and 1.7s on Grok 4.20 Beta 0309 (reasoning). Measured output throughput is 37.9 tok/s on GLM 5.2 and 74.3 tok/s on Grok 4.20 Beta 0309 (reasoning). On the LMArena coding leaderboard GLM 5.2 scores 1505 and Grok 4.20 Beta 0309 (reasoning) scores 1511.
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 (%)
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
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 (reasoning)?
GLM 5.2: $3.94/M output tokens; Grok 4.20 Beta 0309 (reasoning): $6.00/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
Grok 4.20 Beta 0309 (reasoning): 1511; GLM 5.2: 1505 (LMArena coding leaderboard).
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.
How large is each context window?
GLM 5.2 accepts 1,000,000 and Grok 4.20 Beta 0309 (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 (reasoning).
Which one generates tokens faster?
Grok 4.20 Beta 0309 (reasoning) at 74.3 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; Grok 4.20 Beta 0309 (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 (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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