Compare Deepinfra Gemma 4 26B A4B It from Google and Qwen3.8 Max from Qwen 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
Qwen3.8 MaxA 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.
Qwen3.8-Max is Alibaba Cloud Tongyi Qianwen's next-generation flagship large language model, featuring a mixture-of-experts (MoE) architecture with 2.4 trillion parameters. It achieves another breakthrough in encoding depth, enabling it to handle more complex engineering-grade projects and long-term autonomous development; collaborative agent capabilities are significantly enhanced, performing more confidently in multi-tool orchestration and end-to-end delivery; visual understanding is comprehensively improved, with more sensitive and accurate chart reasoning, document parsing, and multimodal perception. Continuing the 1-million-context window, reasoning modes, and a complete tool ecosystem, it continues to evolve at a higher level of intelligence.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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Estimate your monthly bill for the same workload on each model.
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Deepinfra Gemma 4 26B A4B It: $0.385/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.
Deepinfra Gemma 4 26B A4B It: 1.7s 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 Qwen3.8 Max accepts 1,000,000 input tokens. Maximum output per request is 131,100 tokens on Deepinfra Gemma 4 26B A4B It and 131,072 tokens on Qwen3.8 Max.
Deepinfra Gemma 4 26B A4B It at 36.0 tok/s and Qwen3.8 Max at 28.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
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