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 Kimi K3
Compare AIHubMix Phi 3.5 MoE Instruct from Microsoft and Kimi K3 from Moonshot AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Kimi K3 is Kimi’s flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window and industry-leading 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
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: AIHubMix Phi 3.5 MoE Instruct, Kimi K3?
AIHubMix Phi 3.5 MoE Instruct: $1.6/M output tokens; Kimi K3: $15/M. Use the cost calculator above to estimate your own workload.
Can I call AIHubMix Phi 3.5 MoE Instruct and Kimi K3 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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