Compare Gemma 4 26B A4B It (free) 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.
Gemma 4 26B A4B It (free)
GLM 5.2Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model developed by Google DeepMind. Featuring an expansive context length of 262,144 tokens, it delivers near-31B quality with highly efficient inference. Despite its 25.2B total parameters, only 3.8B are activated per token, making it an incredibly fast and cost-effective solution.
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.
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Gemma 4 26B A4B It (free) accepts 262,144 and GLM 5.2 accepts 1,000,000 input tokens.
Gemma 4 26B A4B It (free) accepts text and image input and supports reasoning, tool calling and long context; GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.
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