Compare Deepinfra Gemma 4 26B A4B It from Google and GLM 5.2 from Z.AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Deepinfra Gemma 4 26B A4B It
GLM 5.2A 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.
GLM-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.
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.
Deepinfra Gemma 4 26B A4B It: $0.385/M output tokens; GLM 5.2: $2.524/M. Use the cost calculator above to estimate your own workload.
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.
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.
Deepinfra Gemma 4 26B A4B It at 42.6 tok/s and GLM 5.2 at 35.9 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
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