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// Get open-weight models

Liquid AI d1-3B

Liquid AI's 3B multimodal decision model built on LFM2.5-VL-3B: give it a state (text/JSON/images) plus yes-no, choice or score questions and it returns calibrated probabilities in one pass with zero output tokens; ~8 ms per decision on an RTX 4090, ~30 ms on Apple M5 Pro. For routing, moderation, intent, agent guardrails — not a chat model

Open source Maintained For developers

Official site ↗ Compare

IN ONE PARAGRAPH

Liquid AI d1-3B is liquid AI's 3B multimodal decision model built on LFM2.5-VL-3B: give it a state (text/JSON/images) plus yes-no, choice or score questions and it returns calibrated probabilities in one pass with zero output tokens; ~8 ms per decision on an RTX 4090, ~30 ms on Apple M5 Pro. For routing, moderation, intent, agent guardrails — not a chat model.

Good for: Developers and teams who want to get open-weight models.

01How to start

  1. 1Read the official quick-start (link above).
  2. 2Install or sign up as the official guide describes.
  3. 3Try it on a small example before wiring it into a project.

02Alternatives & comparison

Compare side by side →
DeepSeek-V3 Open-weight models ★ 105k Qwen3 Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud. ★ 28k gpt-oss gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI ★ 20k Qwen3-Coder Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team. ★ 17k Kimi-K2 Kimi K2 is the large language model series developed by Moonshot AI team ★ 11k
Versions, why it is listed, for AI to read

For AI agents

Data updated: AI software & hot ranks · Software profiles & needs · Official software downloads(UTC+8)