Kimi VL A3B Thinking 2506

16.4B total, 3B active · 128k context · MIT · released 2025-06-21

visionreasoning

What to run it on in Germany

Fully in memory at 128k context, priced at retailers today.

Nothing we price holds this model fully in memory.

All hardware that runs it

Everything we price, best value first. Two cards split the model by layers.

Nothing we price can run it at this context.

Memory needed

Weights, KV cache and runtime buffers at each context length (KV cache at fp16).

QuantFile

Run it

Copy a command for the runtime you use.

No published builds to run yet.

Notes

Long-decode thinking model that generates up to 32K tokens; vLLM 0.9.1 with flash-attn explicitly installed is recommended to avoid CUDA out-of-memory. Requires trust_remote_code and supports images up to 3.2 million pixels plus video input.

Questions

What licence is Kimi VL A3B Thinking 2506 released under?
MIT, which allows commercial use.