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 Nano 12B V2 VL (free)
Context lengths are 1,048,576 tokens on Kimi K3 and 128,000 tokens on Nemotron Nano 12B V2 VL (free).
Developed by Nvidia, Nemotron-Nano-12B-V2-VL-Free is a 12-billion-parameter open multimodal reasoning model designed for video understanding and document intelligence. It features a powerful 128,000-token context length to handle extensive visual and textual inputs. The model utilizes a hybrid Transformer-Mamba architecture, successfully combining transformer-level accuracy with Mamba's structural advantages.
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 Nano 12B V2 VL (free) accepts 128,000 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 Nano 12B V2 VL (free) accepts text and image input and supports reasoning, tool calling and long context.
Can I call Kimi K3 and Nemotron Nano 12B V2 VL (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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