DeepSeek-V4 features an ultra-long context of one million characters and achieves leading performance domestically and in the open-source domain in agent capabilities, world knowledge, and reasoning.
Baidu DeepSeek V4 Pro 0813 vs GLM 5.2
Output tokens cost $3.80 per million on Baidu DeepSeek V4 Pro 0813 and $3.94 per million on GLM 5.2. Input tokens cost $1.27 per million on Baidu DeepSeek V4 Pro 0813 and $1.13 per million on GLM 5.2. Cached input tokens are billed at $0.13 per million on Baidu DeepSeek V4 Pro 0813 and $0.28 per million on GLM 5.2. Context lengths are 1,000,000 tokens on Baidu DeepSeek V4 Pro 0813 and 1,000,000 tokens on GLM 5.2. Time to first token (TTFT) measured on AIHubMix is 1.7s on Baidu DeepSeek V4 Pro 0813 and 1.2s on GLM 5.2. Measured output throughput is 39.1 tok/s on Baidu DeepSeek V4 Pro 0813 and 41.3 tok/s on GLM 5.2.
GLM 5.2GLM-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.
Pricing & Specifications
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.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Baidu DeepSeek V4 Pro 0813, GLM 5.2?
Baidu DeepSeek V4 Pro 0813: $3.80/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
GLM 5.2: 1.2s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
Baidu DeepSeek V4 Pro 0813 accepts 1,000,000 and GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 384,000 tokens on Baidu DeepSeek V4 Pro 0813 and 128,000 tokens on GLM 5.2.
Which one generates tokens faster?
GLM 5.2 at 41.3 tok/s and Baidu DeepSeek V4 Pro 0813 at 39.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
Baidu DeepSeek V4 Pro 0813 accepts text input and supports tool calling, function calling, structured outputs and thinking; GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.
Can I call Baidu DeepSeek V4 Pro 0813 and GLM 5.2 with the same API key?
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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