91 models
91 models
Hardware, cost and evidence come from each record. "Unmeasured" means we have not measured it on our own image yet.
Embedding · intfloat/multilingual-e5-large-instruct
Default text vector for search over transcripts, OCR text, descriptions, documents and web pages in 100+ languages; one space for query and passage text.
Embedding · gemini-embedding-2
One vector space for video segments, images, PDFs, audio and text queries; the default for object-level multimodal extractors (multimodal_extractor v2, universal_extractor).
Embedding · sentence-transformers/all-MiniLM-L6-v2
Small, fast English sentence vectors on CPU (22M params, 384 dims) for short text, dedup and clustering.
Embedding · multimodalembedding@001
Category-level text-to-video and text-to-image search in one 1408-d space (committed mAP 0.855 on a 10-video text eval).
Embedding · google/siglip-base-patch16-224
Text-to-image and image-to-image search over photos, products and video frames in one shared space.
Face · insightface/buffalo_l
Face detection, 5-point alignment and 512-d face identity vectors for finding the same person across images and video frames.
Face · insightface/buffalo_sc
The fastest face detector option (SCRFD-500MF) for high-volume frames where small faces matter less.
Embedding · lukewys/laion_clap
Sound-alike search over short audio windows (jingles, music beds, effects) and text-to-audio search ("upbeat jingle with bells") in one 512-d space.
Embedding · facebook/dinov2-base
Image-to-image similarity on visual structure (layout, near-duplicates, the same object or scene) with no text in the loop.
Embedding · jinaai/jina-embeddings-v2-base-code
Code snippets and natural-language-to-code search across about 30 programming languages, with up to 8192-token inputs (ALiBi).
Generation · gemini-2.5-flash
The extractors' default for structured extraction and vision work: video description and OCR in multimodal_extractor v2, web page extraction, PDF layout (document_graph), scrolling-text OCR.
Video and image Q&A · gemini-3.6-flash
High-quality video QA and structured tagging.
Embedding · google/siglip-so400m-patch14-384
Strongest SigLIP v1 image-text model; the vision tower behind many VLMs (PaliGemma).
Classification · jev-latest
Typed decisions with calibrated probabilities over a JSON state: yes/no relevance for rerank, label probabilities for classify, closed-set schema fields for text_extractor; the platform's DECISION_MODEL_DEFAULT.
Video and image Q&A · gemini-3.1-flash-lite
Low-cost bulk tagging of scenes and frames.
Reranking · BAAI/bge-reranker-v2-m3
Re-ordering a short candidate list of text documents against a query (cross-encoder, multilingual), most useful where the dense ordering is weak.
Embedding · vidore/colqwen2-v1.0-merged
Text search over document page images (PDF pages, slides, infographics, tables) by late interaction, with no OCR step.
Classification · Falconsai/nsfw_image_detection
Fast binary normal/nsfw screening of images, and of video by the max score over sparse sampled frames.
Transcription · openai/whisper-large-v3-turbo
Multilingual speech-to-text on GPU at large-v3 quality with the decoder cut from 32 to 4 layers, so decoding is much faster than large-v3.
Classification · eliasalbouzidi/distilbert-nsfw-text-classifier
Cheap binary safe/nsfw screening of English text such as captions, titles and transcripts.
Generation · gemini-3.5-flash-lite
The platform's default LLM (DEFAULT_GEMINI_MODEL) for cheap per-document work in retriever stages (enrich, filter, summarize) and for video-segment description and OCR in multimodal_extractor v1.
Embedding · laion/CLIP-ViT-L-14-laion2B-s32B-b82K
Image-to-image similarity from a large web-trained ViT-L/14 image tower.
Embedding · google/siglip2-so400m-patch14-384
Logos, signage, brands and venue shots in concert footage (the visual arm of an internal eval); strongest SigLIP 2 below giant.
Directory pages for 423 public models. They are not in the catalog above, and Mixpeek does not run them as listed.