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 17

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.

deepreinforce-ai/Ornith-1.0-35B
deepreinforce-ai
0.0————
deepreinforce-ai/Ornith-1.0-35B-GGUF
deepreinforce-ai
0.0————
deepreinforce-ai/Ornith-1.0-9B
deepreinforce-ai
0.0————
deepreinforce-ai/Ornith-1.0-9B-GGUF
deepreinforce-ai
0.0————
Deepseek R1 Distill Llama 70b
Novita via Requesty
10.032K$0.80$0.80—
DeepSeek R1 Distill Llama 70B
Deepinfra via Requesty
16.464K$0.23$0.69—
Deepseek R1 Turbo
Novita via Requesty
23.464K$0.70$2.50—
Deepseek V3
Novita via Requesty
23.464K$0.89$0.89—
DeepSeek V3
Deepinfra via Requesty
34.8128K$0.85$0.90—
Deepseek V3 0324
Novita via Requesty
26.7128K$0.40$1.30—
Deepseek V3 Turbo
Novita via Requesty
26.7128K$0.40$1.30—
DeepSeek V3.1
Deepinfra via Requesty
32.9163.84K$0.30$1.00—
Deepseek V3.2
Novita via Requesty
50.5163.84K$0.269$0.40—
Deepseek V3.2
Vertex via Requesty
65.5163.84K$0.56$1.68—
Deepseek V4 Flash:Flex
Doubleword via Requesty
51.01.05M$0.10$0.20—
Deepseek V4 Pro:Flex
Doubleword via Requesty
51.01.05M$1.31$2.75—
deepseek-ai/DeepSeek-OCR
deepseek-ai
5.0————
deepset/bert-base-cased-squad2
deepset
0.0————
deepset/bert-base-uncased-squad2
deepset
0.0————
deepset/bert-large-uncased-whole-word-masking-squad2
deepset
0.0————
deepset/bert-medium-squad2-distilled
deepset
0.0————
deepset/deberta-v3-base-squad2
deepset
0.0————
deepset/deberta-v3-large-squad2
deepset
0.0————
deepset/gelectra-base-germanquad
deepset
0.0————
deepset/gelectra-large-germanquad
deepset
0.0————
deepset/minilm-uncased-squad2
deepset
0.0————
deepset/roberta-base-squad2
deepset
0.0————
deepset/roberta-base-squad2-distilled
deepset
0.0————
deepset/roberta-large-squad2
deepset
0.0————
deepset/tinyroberta-squad2
deepset
0.0————
deepset/xlm-roberta-base-squad2
deepset
0.0————
deepset/xlm-roberta-large-squad2
deepset
0.0————
depth-anything/DA3-BASE
depth-anything
10.0————
depth-anything/DA3-GIANT
depth-anything
10.0————
depth-anything/DA3-GIANT-1.1
depth-anything
10.0————
depth-anything/DA3-LARGE
depth-anything
10.0————
depth-anything/DA3-LARGE-1.1
depth-anything
10.0————
depth-anything/DA3-SMALL
depth-anything
10.0————
depth-anything/DA3METRIC-LARGE
depth-anything
10.0————
depth-anything/DA3MONO-LARGE
depth-anything
10.0————
depth-anything/DA3NESTED-GIANT-LARGE
depth-anything
10.0————
depth-anything/DA3NESTED-GIANT-LARGE-1.1
depth-anything
10.0————
depth-anything/Depth-Anything-V2-Base
depth-anything
10.0————
depth-anything/Depth-Anything-V2-Base-hf
depth-anything
10.0————
depth-anything/Depth-Anything-V2-Large
depth-anything
10.0————
depth-anything/Depth-Anything-V2-Large-hf
depth-anything
10.0————
depth-anything/Depth-Anything-V2-Metric-Indoor-Base-hf
depth-anything
10.0————
depth-anything/Depth-Anything-V2-Metric-Indoor-Large-hf
depth-anything
10.0————
depth-anything/Depth-Anything-V2-Metric-Indoor-Small-hf
depth-anything
10.0————
depth-anything/Depth-Anything-V2-Metric-Outdoor-Base-hf
depth-anything
10.0————
depth-anything/Depth-Anything-V2-Metric-Outdoor-Large-hf
depth-anything
10.0————
depth-anything/Depth-Anything-V2-Metric-Outdoor-Small-hf
depth-anything
10.0————
depth-anything/Depth-Anything-V2-Small
depth-anything
10.0————
depth-anything/Depth-Anything-V2-Small-hf
depth-anything
10.0————
DepthMuun/gfn-gssm-xor-parity
DepthMuun
10.0————
DeSTA-ntu/DeSTA2.5-Audio-Llama-3.1-8B
DeSTA-ntu
5.0————
deutsche-telekom/mt5-small-sum-de-en-v1
deutsche-telekom
0.0————
deutsche-telekom/mt5-small-sum-de-mit-v1
deutsche-telekom
0.0————
Devstral Latest
Mistral via Requesty
35.1256K$0.44$2.20—
Devstral Small Latest
Mistral via Requesty
31.8131.07K$0.11$0.33—

961–1020 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.