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.
kimi-k3 vs nemotron-3-nano-30b-a3b-free
Context lengths are 1,048,576 tokens on kimi-k3 and 256,000 tokens on nemotron-3-nano-30b-a3b-free.
NVIDIA Nemotron 3 Nano 30B A3B is a highly efficient small language Mixture of Experts (MoE) model developed by Nvidia. Designed to help developers build specialized agentic AI systems, it delivers exceptional compute efficiency and accuracy. Additionally, it features an impressive context length of 256,000 tokens to support extensive data processing.
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.
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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
How large is each context window?
kimi-k3 accepts 1,048,576 and nemotron-3-nano-30b-a3b-free accepts 256,000 input tokens.
What inputs and capabilities does each model support?
kimi-k3 accepts text, image and video input and supports thinking, function calling and structured outputs; nemotron-3-nano-30b-a3b-free accepts text input and supports reasoning, tool calling and long context.
Can I call kimi-k3 and nemotron-3-nano-30b-a3b-free 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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