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 44

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.

Salesforce/blip-vqa-base
Salesforce
5.0————
Salesforce/blip-vqa-capfilt-large
Salesforce
5.0————
SAM 3.1
facebook
10.0————
samandar1105/tablemind-qwen2.5-1.5b
samandar1105
5.0————
SamLowe/roberta-base-go_emotions
SamLowe
5.0————
samuelchristlie/Wan2.1-T2V-1.3B-GGUF
samuelchristlie
5.0————
sankalpsthakur/forge-pump-surrogate-multiruntime
sankalpsthakur
10.0————
SantiagoPG/DOC_QA
SantiagoPG
5.0————
SAP/sap-rpt-1-oss
SAP
10.0————
sarvamai/sarvam-translate
sarvamai
0.0————
sarvamai/shuka-1
sarvamai
5.0————
Satyaai/Satyaai
Satyaai
10.0————
sb3/ppo-CartPole-v1
sb3
10.0————
ScottzillaSystems/qwen-image-edit-plus-nsfw-lora
ScottzillaSystems
10.0————
scragnog/Ace-Step-1.5-ScragVAE
scragnog
10.0————
sdadas/polish-reranker-roberta-v3
sdadas
5.0————
SebasJanampa/DETRPose_M_COCO
SebasJanampa
10.0————
SebasJanampa/DETRPose_X_COCO
SebasJanampa
10.0————
SebasJanampa/DETRPose_X_CROWDPOSE
SebasJanampa
10.0————
second-state/MiniCPM-Llama3-V-2_5-GGUF
second-state
5.0————
second-state/MiniCPM-V-2_6-GGUF
second-state
5.0————
second-state/MiniCPM-V-4_5-GGUF
second-state
5.0————
second-state/Qwen2-Audio-7B-Instruct-GGUF
second-state
5.0————
Seed 1.8
Deepinfra via Requesty
55.1256K$0.25$2.00—
Seed 2.0 Code
Deepinfra via Requesty
50.1256K$0.50$3.00—
Seed 2.0 Mini
Deepinfra via Requesty
55.1256K$0.10$0.40—
Seed 2.0 Pro
Deepinfra via Requesty
55.1256K$0.50$3.00—
segment-any-text/sat-3l-sm
segment-any-text
5.0————
SenseTime/deformable-detr
SenseTime
10.0————
sentence-transformers-testing/stsb-bert-tiny-safetensors
sentence-transformers-testing
5.0————
sentence-transformers/all-distilroberta-v1
sentence-transformers
5.0————
sentence-transformers/all-MiniLM-L12-v2
sentence-transformers
5.0————
sentence-transformers/all-MiniLM-L6-v2
sentence-transformers
5.0————
sentence-transformers/all-mpnet-base-v2
sentence-transformers
5.0————
sentence-transformers/all-roberta-large-v1
sentence-transformers
5.0————
sentence-transformers/distiluse-base-multilingual-cased-v1
sentence-transformers
5.0————
sentence-transformers/distiluse-base-multilingual-cased-v2
sentence-transformers
5.0————
sentence-transformers/LaBSE
sentence-transformers
5.0————
sentence-transformers/msmarco-bert-base-dot-v5
sentence-transformers
5.0————
sentence-transformers/multi-qa-MiniLM-L6-cos-v1
sentence-transformers
5.0————
sentence-transformers/paraphrase-MiniLM-L3-v2
sentence-transformers
5.0————
sentence-transformers/paraphrase-MiniLM-L6-v2
sentence-transformers
5.0————
sentence-transformers/paraphrase-mpnet-base-v2
sentence-transformers
5.0————
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
sentence-transformers
5.0————
sentence-transformers/paraphrase-multilingual-mpnet-base-v2
sentence-transformers
5.0————
Seregil13th/Sulphur-2-base
Seregil13th
5.0————
Serveurperso/OmniVoice-GGUF
Serveurperso
5.0————
Serveurperso/Qwen3-TTS-GGUF
Serveurperso
5.0————
sesame/csm-1b
sesame
5.0————
SG161222/Realistic_Vision_V5.1_noVAE
SG161222
5.0————
SG161222/RealVisXL_V4.0
SG161222
5.0————
SG161222/RealVisXL_V5.0
SG161222
5.0————
Shadow0482/mythos_fast
Shadow0482
10.0————
Shar514/Flux-Uncensored-V2
Shar514
10.0————
Sharka/CIVQA_DVQA_Impira_QA
Sharka
5.0————
Sharka/CIVQA_DVQA_LayoutLMv3
Sharka
5.0————
Sharka/CIVQA_LayoutXLM
Sharka
5.0————
Sharka/CIVQA_LayoutXLM_EasyOCR
Sharka
5.0————
sharktide/cardiac_arrest_v4
sharktide
10.0————
sharktide/ohca-predictor-v1
sharktide
10.0————

2581–2640 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.