Models

Designed for greater capability, faster inference, higher throughput, and scaling to larger models.

Z.ai's first natively multimodal model, approaching Claude Opus 4.8 on coding and agentic benchmarks with just 18B active parameters.

MiMo-V2.6-Distill-Qwen-9B is Xiaomi MiMo’s 9B model for code and agent workflows

pplx-decider-flash is a 4B decision model from Perplexity, built on Qwen3.5-4B

Kimi K3.1 Pro is an open-weight, natively multimodal agentic model and our most capable 3T-class model to date, with a 1M-token context window and major gains in coding, 3D creation, financial research, and factual accuracy.

Bonsai 2 from Prism ML is a family of vision models built for ternary weights – smaller models with close to full-precision quality.

a single end-to-end model that understands text, images, video and audio, and answers in text and speech

Turn text, structured data, and images into scored choices, yes/no answers, and ratings.

As a next-generation Flash model, M3.1 Flash delivers a generational leap in agentic tasks, coding, Computer Use and cybersecurity, while making online inference nearly three times faster and reducing usage costs by 70%.

Nemotron 3.5 Bolt is NVIDIA’s compact vision-language model for local coding, reasoning, and tool use.

LFM3-VL-2B is a vision-language model for on-device visual understanding.

d1 is a 3B decision model from Liquid AI, built on LFM2.5-VL-3B

LFM3-Audio-2B is a compact, fully featured audio model.

d1-omni is a multimodal 600M decision model from Liquid AI

Muse Spark Open is a natively multimodal model with 816B total parameters (42B active) and a 1M-token context window. Built for coding and agentic work, it excels at long-horizon tasks, complex software engineering, and multi-step reasoning.

pplx-decider is a 27B decision model from Perplexity, fine-tuned from Qwen3.8-27B

Mistral Large 4 is Mistral's open-weight, general-purpose multimodal model. Its granular Mixture-of-Experts design activates 52B of 1.05T total parameters, with a 1.6B vision encoder handling images.

Qwen3.8 delivers substantial gains across coding, professional work, research, and long-horizon agentic tasks.

Chirp Chirp! 🐦 We are introducing Ornith-1.5, a major step toward building foundation models through end-to-end self-improvement.

EmbeddingGemma 2 is a multimodal embedding model from Google built on the Gemma 4 architecture.