Output tokens cost $2.76 per million on glm-5.2 and $6.00 per million on qwen3.8-2.4t-a95b. Input tokens cost $0.79 per million on glm-5.2 and $2.00 per million on qwen3.8-2.4t-a95b. Cached input tokens are billed at $0.20 per million on glm-5.2 and $0.50 per million on qwen3.8-2.4t-a95b. Discounted rates are shown where a promotion is active. Context lengths are 1,000,000 tokens on glm-5.2 and 262,000 tokens on qwen3.8-2.4t-a95b. Time to first token (TTFT) measured on AIHubMix is 0.9s on glm-5.2 and 0.7s on qwen3.8-2.4t-a95b. Measured output throughput is 46.3 tok/s on glm-5.2 and 32.2 tok/s on qwen3.8-2.4t-a95b.
glm-5.2
qwen3.8-2.4t-a95bGLM-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.
Qwen3.8-2.4T-A95B is Alibaba’s most powerful Qwen model to date. It is a 2.4‑trillion‑parameter sparse Mixture-of-Experts (MoE) model with approximately 95 billion active parameters. It is built for autonomous, long‑duration tasks: multi‑day code runs, reproducing research papers, and self‑improvement.
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.
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: $2.76/M output tokens; qwen3.8-2.4t-a95b: $6.00/M. Use the cost calculator above to estimate your own workload.
qwen3.8-2.4t-a95b: 0.7s 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 qwen3.8-2.4t-a95b accepts 262,000 input tokens. Maximum output per request is 128,000 tokens on glm-5.2 and 262,000 tokens on qwen3.8-2.4t-a95b.
glm-5.2 at 46.3 tok/s and qwen3.8-2.4t-a95b at 32.2 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; qwen3.8-2.4t-a95b accepts text and image 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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