Compare Qwen3.8 27B from Qwen 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.
Qwen3.8 27BQwen3.8 Maxqwen3.8-27b is Qwen's open-weight dense vision-language model, designed for coding, professional workflows, research, multimodal interaction, and long-running agent tasks. It supports text and image inputs with an extensive 1,000,000-token context length and flexible thinking capabilities.
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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LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
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Qwen3.8 27B: $2.5/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.
Qwen3.8 27B accepts 1,000,000 and Qwen3.8 Max accepts 1,000,000 input tokens. Maximum output per request is 131,072 tokens on Qwen3.8 27B and 131,072 tokens on Qwen3.8 Max.
Qwen3.8 27B accepts text, image and video input; Qwen3.8 Max accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
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