cloudflareListed 8 days ago
Cloudflare: Clef Omni
Scores typed questions over images, audio and video in one pass; can hear video soundtracks while inspecting sampled frames.
65.5K contextImage inputAudio inputNo reported score
No reported score
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nace-aiListed 9 days ago
drex-v1.5
Drex v1.5 is a 9B decision model from Nace.AI. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal score), it returns a calibrated probability for every option in a single…
131.1K contextOpen weightsNo reported score
No reported score
cloudflareListed 16 days ago
Cloudflare: Clef Flash
Small decision model for routing and scoring; the Workers AI route currently reads only roughly the first 2K text-state tokens.
24.6K contextImage inputOpen weightsNo reported score
No reported score
cloudflareListed 16 days ago
Cloudflare: Clef
Clef is Cloudflare's open-source 27B multimodal decision model, a fine-tune of Qwen3.8-27B served on Workers AI. It turns a state (text or structured JSON) plus a schema of typed questions...
65.5K contextImage inputOpen weightsNo reported score
No reported score
togethercomputerListed 17 days ago
Together: Tev1 4B Experimental
Tev1 4B Experimental is an experimental decision model from Together AI, a supervised fine-tune of Qwen3.5-4B trained to choose one option from a structured state, question, and list of 2-24...
32.8K context4BOpen weightsNo reported score
No reported score
jaredpalmerListed 22 days ago
Jared Palmer: Kev 4B
Kev 4B is a small open-weight decision model from Jared Palmer, built as a LoRA adapter and pointer head on Qwen3.5-4B-Base and served over the same /v1/systemone contract as TypeSafe's...
8.2K context4BOpen weightsNo reported score
No reported score
liquidListed Aug 18
LiquidAI: LFM2.5-Embedding-350M (free)
LFM2.5-Embedding-350M is a text embedding model from Liquid AI. It produces 1,024-dimensional embeddings for retrieval and semantic search. Successful OpenRouter requests and embeddings may be retained and…
512 contextOpen weightsNo reported score
No reported score
QwenListed Jul 20
Qwen3-ASR-1.7B
Qwen3-ASR-1.7B is the flagship model of the Qwen3-ASR family: multilingual language identification and speech recognition across 30 languages and 22 Chinese dialects, built on Qwen3-Omni. It reaches…
1.7BAudio inputOpen weightsNo reported score
No reported score
QwenListed Jul 20
Qwen3-ASR-0.6B
Qwen3-ASR-0.6B is the compact model of the Qwen3-ASR family: multilingual language identification and speech recognition across 30 languages and 22 Chinese dialects, built on Qwen3-Omni. It targets an…
0.6BAudio inputOpen weightsNo reported score
No reported score
nvidiaListed Jun 3
Nemotron-3.5-ASR-Streaming-Multilingual-0.6b
Nemotron 3.5 ASR Streaming Multilingual is an open 0.6B-parameter prompt-conditioned cache-aware FastConformer-RNNT model, engineered for low-latency streaming transcription across 40+ languages. It powers…
0.6BAudio inputOpen weightsNo reported score
No reported score
nvidiaListed Feb 25
NVIDIA: Llama Nemotron Embed VL 1B V2 (free)
The Llama Nemotron Embed VL 1B V2 embedding model is optimized for multimodal question-answering retrieval. The model can embed 'documents' in the form of image, text, or image and text...
131.1K context1BImage inputOpen weightsNo reported score
No reported score
qwenListed Jul 21
Qwen: Qwen3 235B A22B Instruct 2507
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for…
262.1K context235BTool callingStructured outputNo reported score
No reported score
mistralaiListed Jul 19
Voxtral-Mini-3B-2507
Voxtral Mini is an enhancement of Ministral 3B, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and…
32.8K context3BAudio inputOpen weights
QwenListed Jun 10
Qwen3-Embedding-4B
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3…
32.8K context4BOpen weightsNo reported score
No reported score
QwenListed Jun 10
Qwen3-Embedding-8B
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3…
41K context8BOpen weights
openaiListed Oct 2
whisper-large-v3-turbo
Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper "Robust Speech Recognition via Large-Scale Weak Supervision" by Alec Radford et al.…
Audio inputOpen weights
openaiListed Jul 17
whisper-large-v3
Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech…
Audio inputOpen weights
intfloatListed Jun 4
Intfloat: Multilingual-E5-Large
The multilingual-e5-large embedding model encodes sentences, paragraphs, and documents across over 90 languages into a 1024-dimensional dense vector space, delivering robust semantic embeddings optimized…
512 contextOpen weightsNo reported score
No reported score
BAAIListed May 27
bge-m3
BGE-M3 is a versatile text embedding model that supports multi-functionality, multi-linguality, and multi-granularity, allowing it to perform dense retrieval, multi-vector retrieval, and sparse retrieval in…
8.2K contextOpen weightsNo reported score
No reported score
intfloatListed Nov 22
Intfloat: E5-Base-v2
The e5-base-v2 embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, producing efficient and high-quality semantic embeddings optimized for tasks such as…
512 contextOpen weightsNo reported score
No reported score
thenlperListed Nov 22
gte-base
The GTE models are trained by Alibaba DAMO Academy. They are mainly based on the BERT framework and currently offer three different sizes of models, including GTE-large, GTE-base, and GTE-small. The GTE…
512 contextOpen weightsNo reported score
No reported score
intfloatListed Nov 22
Intfloat: E5-Large-v2
The e5-large-v2 embedding model maps English sentences, paragraphs, and documents into a 1024-dimensional dense vector space, delivering high-accuracy semantic embeddings optimized for retrieval, semantic…
512 contextOpen weightsNo reported score
No reported score
thenlperListed Nov 22
gte-large
The GTE models are trained by Alibaba DAMO Academy. They are mainly based on the BERT framework and currently offer three different sizes of models, including GTE-large, GTE-base, and GTE-small. The GTE…
512 contextOpen weightsNo reported score
No reported score
BAAIListed Nov 22
bge-base-en-v1.5
BGE embedding is a general Embedding Model. It is pre-trained using retromae and trained on large-scale pair data using contrastive learning. Note that the goal of pre-training is to reconstruct the text,…
512 contextOpen weightsNo reported score
No reported score