Output tokens cost $3.94 per million on GLM 5.2 and $0.57 per million on Hy3 Preview. Input tokens cost $1.13 per million on GLM 5.2 and $0.17 per million on Hy3 Preview. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $0.05 per million on Hy3 Preview. Context lengths are 1,000,000 tokens on GLM 5.2 and 256,000 tokens on Hy3 Preview. Time to first token (TTFT) measured on AIHubMix is 0.6s on GLM 5.2 and 2.1s on Hy3 Preview. Measured output throughput is 46.7 tok/s on GLM 5.2 and 40.2 tok/s on Hy3 Preview. On the LMArena coding leaderboard GLM 5.2 scores 1505 and Hy3 Preview scores 1504.
GLM 5.2
Hy3 PreviewGLM-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.
Hunyuan Hy3 preview is designed for agent workloads, adopting a MoE architecture with 295B capacity and 21B activated parameters. It provides three modes within the same model—no_think (ultra-fast response), think_low (fast thinking), and think_high (deep reasoning)—to accommodate different latency and depth requirements from high-frequency interactions to complex engineering tasks. On code benchmarks such as SWE-bench Verified it approaches the current state of the art, and its 256K context supports cross-file code refactoring and long-document analysis. It is suitable for developers who require reliable task completion while being sensitive to inference costs.
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.
Hy3 Preview: $0.57/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.
GLM 5.2: 1505; Hy3 Preview: 1504 (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 Hy3 Preview accepts 256,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 128,000 tokens on Hy3 Preview.
GLM 5.2 at 46.7 tok/s and Hy3 Preview at 40.2 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; Hy3 Preview accepts text input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
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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