Output tokens cost $3.94 per million on GLM 5.2 and $0.05 per million on Jina Deepsearch V1. Input tokens cost $1.13 per million on GLM 5.2 and $0.05 per million on Jina Deepsearch V1. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $0.05 per million on Jina Deepsearch V1. Context lengths are 1,000,000 tokens on GLM 5.2 and 1,000,000 tokens on Jina Deepsearch V1. Time to first token (TTFT) measured on AIHubMix is 1.1s on GLM 5.2 and 0.8s on Jina Deepsearch V1. Measured output throughput is 38.0 tok/s on GLM 5.2 and 65.5 tok/s on Jina Deepsearch V1.
GLM 5.2
Jina Deepsearch V1GLM-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.
DeepSearch combines search, reading, and reasoning capabilities to pursue the best possible answer. It's fully compatible with OpenAI's Chat API format—just replace api.openai.com with aihubmix.com to get started. The stream will return the thinking process.
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.
Jina Deepsearch V1: $0.05/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.
Jina Deepsearch V1: 0.8s 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 Jina Deepsearch V1 accepts 1,000,000 input tokens.
Jina Deepsearch V1 at 65.5 tok/s and GLM 5.2 at 38.0 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; Jina Deepsearch V1 accepts text and image input and supports thinking, web search and deep search.
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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