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fal-aiListed Jan 30

TripoSR

State of the art Image to 3D Object generation

No reported score
No reported score
Price not listed
openaiListed Jan 25

OpenAI: GPT-3.5 Turbo (older v0613)

GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.

4.1K contextTool callingStructured outputNo reported score
No reported score
$1.00in$2.00out/ 1M tokens · USDAzure · via OpenRouter · 3 endpointsazure
fal-aiListed Dec 14

PuLID

Tuning-free ID customization.

No reported score
No reported score
Price not listed
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
$0.005in$0.00out/ 1M tokens · USDOpenRouter
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
$0.005in$0.00out/ 1M tokens · USDOpenRouter
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
$0.01in$0.00out/ 1M tokens · USDOpenRouter
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
$0.01in$0.00out/ 1M tokens · USDOpenRouter
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
$0.005in$0.00out/ 1M tokens · USDOpenRouter
BAAIListed Nov 22

bge-large-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
$0.01in$0.00out/ 1M tokens · USDOpenRouter
fal-aiListed Nov 16

Fooocus

Default parameters with automated optimizations and quality improvements.

No reported score
No reported score
Listed from $0.00/ compute second · USDfal