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.
Gemma 4 26B A4B It (free)
GPT 5.6 LunaGemma 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.
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.
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 GPT 5.6 Luna accepts 1,050,000 input tokens.
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.
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