Phi-3.5-MoE 是一个轻量级的最先进开放模型,基于用于 Phi-3 的数据集构建——合成数据和经过筛选的公开可用文档,重点关注高质量、推理密集的数据。该模型支持多语言,并具有 128K 的上下文长度(以标记为单位)。
AIHubMix Phi 3.5 MoE Instruct vs Qwen3.8 Max
Compare AIHubMix Phi 3.5 MoE Instruct from Microsoft 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-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.
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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Cost calculator
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Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: AIHubMix Phi 3.5 MoE Instruct, Qwen3.8 Max?
AIHubMix Phi 3.5 MoE Instruct: $1.6/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.
Can I call AIHubMix Phi 3.5 MoE Instruct and Qwen3.8 Max 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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