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.
Gemma 4 26B A4B It vs Gemma 4 26B A4B It (free)
Compare Gemma 4 26B A4B It from Google and Gemma 4 26B A4B It (free) from Google 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 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.
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.
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FAQ
How large is each context window?
Gemma 4 26B A4B It accepts 262,100 and Gemma 4 26B A4B It (free) accepts 262,144 input tokens.
Can I call Gemma 4 26B A4B It and Gemma 4 26B A4B It (free) 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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