A Mixture-of-Experts model that activates only 4B parameters per inference,delivering high-performance reasoning with a fraction of the memory cost - idealfor cost-efficient, high-throughput server deployments.
Deepinfra Gemma 4 26B A4B It vs GLM 5.2
Output tokens cost $0.39 per million on Deepinfra Gemma 4 26B A4B It and $3.94 per million on GLM 5.2. Input tokens cost $0.09 per million on Deepinfra Gemma 4 26B A4B It and $1.13 per million on GLM 5.2. Cached input tokens are billed at $0.01 per million on Deepinfra Gemma 4 26B A4B It and $0.28 per million on GLM 5.2. Context lengths are 262,100 tokens on Deepinfra Gemma 4 26B A4B It and 1,000,000 tokens on GLM 5.2. Time to first token (TTFT) measured on AIHubMix is 0.4s on Deepinfra Gemma 4 26B A4B It and 0.6s on GLM 5.2. Measured output throughput is 42.6 tok/s on Deepinfra Gemma 4 26B A4B It and 46.0 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: Deepinfra Gemma 4 26B A4B It, GLM 5.2?
Deepinfra Gemma 4 26B A4B It: $0.39/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Deepinfra Gemma 4 26B A4B It: 0.4s 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?
Deepinfra Gemma 4 26B A4B It accepts 262,100 and GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 131,100 tokens on Deepinfra Gemma 4 26B A4B It and 128,000 tokens on GLM 5.2.
Which one generates tokens faster?
GLM 5.2 at 46.0 tok/s and Deepinfra Gemma 4 26B A4B It at 42.6 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Can I call Deepinfra Gemma 4 26B A4B It 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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