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High Multimodal AI · 1 min read

Kimi-VL-A3B-Thinking (Moonshot AI): a small open vision model with chain-of-thought reasoning

In one sentence Moonshot AI releases Kimi-VL, an open MoE vision-language model (16B total, about 3B active, MIT license), with a Thinking variant trained with long chain-of-thought and reinforcement learning. It beats GPT-4o on visual math benchmarks but trails it on MMMU.

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Moonshot AI, a Chinese company, publishes Kimi-VL: a model that understands images and text. It is a "mixture of experts" model: 16 billion parameters in total but only about 3 used per token, so it is cheap to run.

The Thinking variant writes a long chain of reasoning before answering. It was trained first on step-by-step reasoning examples and then with reinforcement learning.

The result: on math problems with figures (MathVista, MathVision) it does better than GPT-4o, while on multidisciplinary university-level questions (MMMU) it stays below. Weights are downloadable under the MIT license.

Companies

Moonshot AI

Tools

Kimi-VL-A3B-Thinking, Kimi-VL-A3B-Instruct

Tags

Kimi VLvisual reasoningchain-of-thoughtRLmultimodalMoonshot AIMoE

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