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, this model is built to handle highly complex and long-form tasks. While containing 25.2B total parameters, only 3.8B activate per token during inference, delivering premium quality with outstanding efficiency.
Gemma 4 26B A4B It (free) vs GPT 5.6 Luna
Compare Gemma 4 26B A4B It (free) from Google and GPT 5.6 Luna from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
GPT-5.6 Luna is designed for cost-sensitive, high-volume workloads. It roughly corresponds to the nano model tier used in earlier GPT-5 families.
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
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Performance Past 3 Days
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Throughput (tok/s)
TTFT (s)
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Cost calculator
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Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
How large is each context window?
Gemma 4 26B A4B It (free) accepts 262,144 and GPT 5.6 Luna accepts 1,050,000 input tokens.
What inputs and capabilities does each model support?
Gemma 4 26B A4B It (free) accepts text, image and video input and supports reasoning, tool calling and long context; GPT 5.6 Luna accepts text and image input and supports tool calling, thinking and structured outputs.
Can I call Gemma 4 26B A4B It (free) and GPT 5.6 Luna 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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