Output tokens cost $3.94 per million on GLM 5.2 and $4.40 per million on O4 Mini. Input tokens cost $1.13 per million on GLM 5.2 and $1.10 per million on O4 Mini. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $0.28 per million on O4 Mini. Context lengths are 1,000,000 tokens on GLM 5.2 and 200,000 tokens on O4 Mini. Time to first token (TTFT) measured on AIHubMix is 0.6s on GLM 5.2 and 5.8s on O4 Mini. Measured output throughput is 44.5 tok/s on GLM 5.2 and 94.5 tok/s on O4 Mini. On the LMArena coding leaderboard GLM 5.2 scores 1505 and O4 Mini scores 1432.
GLM 5.2
O4 MiniGLM-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.
o4-mini is a remarkably smart model for its speed and cost-efficiency. This allows it to support significantly higher usage limits than o3, making it a strong high-volume, high-throughput option for everyone with questions that benefit from reasoning.
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.
GLM 5.2: $3.94/M output tokens; O4 Mini: $4.40/M. Use the cost calculator above to estimate your own workload.
GLM 5.2: 1505; O4 Mini: 1432 (LMArena coding leaderboard).
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.
GLM 5.2 accepts 1,000,000 and O4 Mini accepts 200,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 100,000 tokens on O4 Mini.
O4 Mini at 94.5 tok/s and GLM 5.2 at 44.5 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; O4 Mini accepts text and image input and supports thinking, tool calling, function calling and structured outputs.
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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