Skip to content
Trust & transparency A
THE OPEN INTELLIGENCE HUBCOMMUNITY PREVIEW
A LITTLE DIRECTION. A LOT OF POSSIBILITY.

Find your starting point.

Explore open intelligence through the things you want to build.

Established foundations

Publisher model cards reviewed on 20 September 2026. These are useful starting points, not a latest-release ranking.

Text generationQwen3 32B

Multilingual assistant with switchable thinking and non-thinking modes for everyday work and complex reasoning.

Apache-2.0
ReasoningDeepSeek R1 0528

Reasoning-focused checkpoint for multi-step mathematics, programming and general logic tasks.

MIT
Text generationLlama 3.3 70B Instruct

Instruction-tuned multilingual model for assistant conversations and text generation.

Llama 3.3 Community License
VisionGemma 3 27B IT

Multimodal assistant that accepts text and images for question answering, summaries and visual analysis.

Gemma Terms of Use
Text generationMistral Small 3.1

Text-and-vision assistant with function calling and JSON output for document workflows and conversational agents.

Apache-2.0
CodingQwen3 Coder 30B A3B

Mixture-of-experts coding model with a long native context and function calling for software agents.

Apache-2.0
Image generationFLUX.1 Schnell

Text-to-image model distilled for image generation in one to four steps.

Apache-2.0
Image generationFLUX.1 Dev

Guidance-distilled text-to-image model for detailed visual generation and creative experimentation.

FLUX.1 Dev Non-Commercial License
Image generationStable Diffusion 3.5 Large

Diffusion transformer for image creation with an emphasis on prompt understanding and typography.

Stability AI Community License
VisionQwen2.5 VL 7B

Vision-language assistant for interpreting images, documents and video with text responses.

Apache-2.0
VisionSmolVLM2 2.2B

Compact multimodal model for questions about images and videos, visual comparison and captioning.

Apache-2.0
AudioWhisper Large V3 Turbo

Multilingual speech-recognition checkpoint for turning recorded audio into text.

MIT
AudioKokoro 82M

Lightweight multilingual text-to-speech model for adding spoken output to applications.

Apache-2.0
EmbeddingsBGE M3

Multilingual retrieval model combining dense, sparse and multi-vector representations for long documents.

MIT
EmbeddingsNomic Embed Text V1.5

Long-context text embeddings with adjustable output dimensions for search and document retrieval.

Apache-2.0
EmbeddingsAll MiniLM L6 V2

Compact sentence and short-paragraph encoder producing 384-dimensional vectors for semantic search.

Apache-2.0