AutoTrust’s decision models return choices, yes/no probabilities, and ratings for the questions you supply
pplx-decider-flash is a 4B decision model from Perplexity, built on Qwen3.5-4B
MiMo-V2.6-Distill-Qwen-9B is Xiaomi MiMo’s 9B model for code and agent workflows
LFM3-1.7B is a tri-hybrid model for local agents and specialized applications.
LFM3-Audio-2B is a compact, fully featured audio model.
a single end-to-end model that understands text, images, video and audio, and answers in text and speech
LFM3-VL-2B is a vision-language model for on-device visual understanding.
Turn text, structured data, and images into scored choices, yes/no answers, and ratings.
Phonon is Gradium’s text-to-speech family. It turns written text into spoken audio as it generates, making it useful for reading assistant replies, narrating passages, and adding a voice to local apps.
Flint is a 39.8 billion-parameter mixture-of-experts model from Recursive, built for coding agents.
d1-omni is a multimodal 600M decision model from Liquid AI
Bonsai 2 from Prism ML is a family of vision models built for ternary weights – smaller models with close to full-precision quality.
pplx-decider is a 27B decision model from Perplexity, fine-tuned from Qwen3.8-27B
d1 is a 3B decision model from Liquid AI, built on LFM2.5-VL-3B
Kev scores answers to structured questions about a supplied text state in a single forward pass.
A 9B decision model from Bespoke Labs for fast classification, routing, and scoring.
Nemotron 3.5 Bolt is NVIDIA’s compact vision-language model for local coding, reasoning, and tool use.
EmbeddingGemma 2 is a multimodal embedding model from Google built on the Gemma 4 architecture.
A 2B decision model from Strands Agents for fast classification, routing, and scoring.
Clef-Flash is a 9B multimodal model that turns a state and a schema of typed questions into decisions.