The SyncDev models directory

AI Models Directory

Find the right model for the work you need to do. Explore 3,077 profiles, from hosted language models to image, audio and video generators and downloadable checkpoints.

Explore all models · Page 33

Start with our shortlist, search a model family, or filter by task and deployment. Prices apply to the listed route; a dash means a figure is not recorded.

MCG-NJU/videomae-base-finetuned-kinetics
MCG-NJU
10.0————
MCG-NJU/videomae-large
MCG-NJU
10.0————
meituan-longcat/LongCat-Image-Edit
Meituan LongCat
10.0————
meituan-longcat/LongCat-Image-Edit-Turbo
Meituan LongCat
10.0————
meka1018/1
meka1018
10.0————
Melanippe/10Eros-conversions
Melanippe
10.0————
MelodyMachine/Deepfake-audio-detection-V2
MelodyMachine
10.0————
Menoviar28/betamodel6
Menoviar28
10.0————
Menoviar28/ModelBeta2
Menoviar28
10.0————
MertOezberk95/tabfm-1.0.0-pytorch
MertOezberk95
10.0————
mesolitica/wav2vec2-xls-r-300m-mixed
mesolitica
5.0————
Meta Llama 3.1 405B Instruct
Deepinfra via Requesty
21.8130.82K$0.80$0.80—
Meta Llama 3.1 70B Instruct
Deepinfra via Requesty
31.8130.82K$0.23$0.40—
Meta Llama 3.1 8B Instruct Turbo
Deepinfra via Requesty
31.8131.07K$0.02$0.05—
meta-llama/Prompt-Guard-86M
meta-llama
5.0————
michaelfeil/bge-small-en-v1.5
michaelfeil
5.0————
MichiganNLP/TAMA-QWen2.5
MichiganNLP
5.0————
MichiganNLP/TAMA-QWen3
MichiganNLP
5.0————
Mickeycontinental1/Berni
Mickeycontinental1
10.0————
microsoft/beit-base-finetuned-ade-640-640
Microsoft Research
10.0————
microsoft/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224
Microsoft Research
10.0————
microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract
Microsoft Research
0.0————
microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext
Microsoft Research
0.0————
microsoft/conditional-detr-resnet-50
Microsoft Research
10.0————
microsoft/deberta-base
Microsoft Research
0.0————
microsoft/deberta-large-mnli
Microsoft Research
5.0————
microsoft/deberta-v3-base
Microsoft Research
0.0————
microsoft/deberta-v3-large
Microsoft Research
0.0————
microsoft/deberta-v3-small
Microsoft Research
0.0————
microsoft/deberta-xlarge-mnli
Microsoft Research
5.0————
microsoft/Florence-2-base
Microsoft Research
5.0————
microsoft/git-base
Microsoft Research
5.0————
microsoft/git-base-vqav2
Microsoft Research
5.0————
microsoft/git-large-vqav2
Microsoft Research
5.0————
microsoft/kosmos-2-patch14-224
Microsoft Research
5.0————
microsoft/llmlingua-2-bert-base-multilingual-cased-meetingbank
Microsoft Research
5.0————
microsoft/mdeberta-v3-base
Microsoft Research
0.0————
microsoft/rad-dino
Microsoft Research
10.0————
microsoft/resnet-50
Microsoft Research
10.0————
microsoft/speecht5_tts
Microsoft Research
5.0————
microsoft/speecht5_vc
Microsoft Research
10.0————
microsoft/swinv2-tiny-patch4-window16-256
Microsoft Research
10.0————
microsoft/table-transformer-detection
Microsoft Research
10.0————
microsoft/table-transformer-structure-recognition
Microsoft Research
10.0————
microsoft/table-transformer-structure-recognition-v1.1-all
Microsoft Research
10.0————
microsoft/tapex-base
Microsoft Research
5.0————
microsoft/tapex-base-finetuned-wikisql
Microsoft Research
5.0————
microsoft/tapex-base-finetuned-wtq
Microsoft Research
5.0————
microsoft/tapex-large
Microsoft Research
5.0————
microsoft/tapex-large-finetuned-tabfact
Microsoft Research
5.0————
microsoft/tapex-large-finetuned-wikisql
Microsoft Research
5.0————
microsoft/tapex-large-finetuned-wtq
Microsoft Research
5.0————
microsoft/tapex-large-sql-execution
Microsoft Research
5.0————
microsoft/TRELLIS-image-large
Microsoft Research
10.0————
microsoft/TRELLIS-text-base
Microsoft Research
5.0————
microsoft/TRELLIS-text-large
Microsoft Research
5.0————
microsoft/TRELLIS-text-xlarge
Microsoft Research
5.0————
microsoft/TRELLIS.2-4B
Microsoft Research
10.0————
microsoft/trocr-base-handwritten
Microsoft Research
5.0————
microsoft/trocr-base-printed
Microsoft Research
5.0————

1921–1980 of 3077 models · select a column to sort

About this order: Recommended shows our editorial shortlist first, followed by recent releases. The spec score is a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.