Output tokens cost $3.94 per million on GLM 5.2 and $2.50 per million on Grok 4.3. Input tokens cost $1.13 per million on GLM 5.2 and $1.25 per million on Grok 4.3. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $0.20 per million on Grok 4.3. Context lengths are 1,000,000 tokens on GLM 5.2 and 1,000,000 tokens on Grok 4.3. Time to first token (TTFT) measured on AIHubMix is 1.1s on GLM 5.2 and 0.4s on Grok 4.3. Measured output throughput is 38.1 tok/s on GLM 5.2 and 44.5 tok/s on Grok 4.3. On the LMArena coding leaderboard GLM 5.2 scores 1505 and Grok 4.3 scores 1487.
GLM 5.2
Grok 4.3GLM-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 4.3 is amongst the leading models in intelligence and well priced when comparing to other models of similar price. It's also notably fast, however very verbose. The model supports text and image input, outputs text, and has a 1m tokens context window.
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.
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.
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.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Grok 4.3: $2.50/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.
GLM 5.2: 1505; Grok 4.3: 1487 (LMArena coding leaderboard).
Grok 4.3: 0.4s time to first token 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 4.3 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 4.3.
Grok 4.3 at 44.5 tok/s and GLM 5.2 at 38.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; Grok 4.3 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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