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 34

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.

microsoft/trocr-base-stage1
Microsoft Research
5.0————
microsoft/trocr-large-handwritten
Microsoft Research
5.0————
microsoft/trocr-large-printed
Microsoft Research
5.0————
microsoft/trocr-small-handwritten
Microsoft Research
5.0————
microsoft/trocr-small-printed
Microsoft Research
5.0————
microsoft/trocr-small-stage1
Microsoft Research
5.0————
microsoft/VibeVoice-1.5B
Microsoft Research
5.0————
microsoft/VibeVoice-ASR-HF
Microsoft Research
5.0————
microsoft/VibeVoice-Realtime-0.5B
Microsoft Research
5.0————
microsoft/wavlm-base-plus
Microsoft Research
5.0————
microsoft/wavlm-large
Microsoft Research
5.0————
microsoft/xclip-base-patch16
Microsoft Research
10.0————
microsoft/xclip-base-patch16-zero-shot
Microsoft Research
10.0————
microsoft/xclip-base-patch32
Microsoft Research
10.0————
microsoft/xclip-base-patch32-16-frames
Microsoft Research
10.0————
Mikhail1313/layoutlmv2-base-uncased_finetuned_docvqa
Mikhail1313
5.0————
MilaNLProc/xlm-emo-t
MilaNLProc
5.0————
Ming Flash Omni 2.0
inclusionAI
20.0————
Ming Image 0.1 Design
inclusionAI
5.0————
Ming Image 0.1 Design Layer
inclusionAI
10.0————
mingyi456/LongCat-Image-Edit-Turbo-DF11-ComfyUI
mingyi456
10.0————
Minimax M2.5@Eu Central 1
Bedrock via Requesty
51.2128K$0.36$1.44—
Minimax M2.5@Eu North 1
Bedrock via Requesty
51.2128K$0.36$1.44—
Minimax M2.5@Eu South 1
Bedrock via Requesty
51.2128K$0.36$1.44—
Minimax M2.5@Eu West 1
Bedrock via Requesty
51.2128K$0.36$1.44—
Minimax M2.5@Us East 1
Bedrock via Requesty
51.2128K$0.30$1.20—
Minimax M2.5@Us East 2
Bedrock via Requesty
51.2128K$0.30$1.20—
Minimax M2.5@Us West 2
Bedrock via Requesty
51.2128K$0.30$1.20—
MiniMax Speech 2.8 HD
MiniMax
5.0————
MiniMax Speech 2.8 TURBO
MiniMax
5.0————
MIRE-org/flywire-olfactory-snn
MIRE-org
10.0————
misalisu-ai/lemr-multimodal-clinical-core
misalisu-ai
10.0————
Misha24-10/F5-TTS_RUSSIAN
Misha24-10
5.0————
mispeech/ced-base
mispeech
10.0————
mispeech/ced-tiny
mispeech
10.0————
mispeech/dashengtokenizer
mispeech
10.0————
mispeech/GLAP
mispeech
5.0————
mispeech/midashenglm-7b-0804-fp32
mispeech
5.0————
Mistral Small 2503
Mistral via Requesty
25.232.77K$0.11$0.33—
mistralai/Voxtral-Mini-4B-Realtime-2602
mistralai
5.0————
MIT/ast-finetuned-audioset-10-10-0.4593
MIT
10.0————
MIT/ast-finetuned-audioset-14-14-0.443
MIT
10.0————
MIUProject/sam3
MIUProject
10.0————
mixedbread-ai/mxbai-embed-large-v1
mixedbread-ai
5.0————
mixedbread-ai/mxbai-rerank-base-v1
mixedbread-ai
5.0————
mixedbread-ai/mxbai-rerank-base-v2
mixedbread-ai
5.0————
mixedbread-ai/mxbai-rerank-large-v1
mixedbread-ai
5.0————
mixedbread-ai/mxbai-rerank-large-v2
mixedbread-ai
5.0————
mixedbread-ai/mxbai-rerank-xsmall-v1
mixedbread-ai
5.0————
mlx-community/MOSS-Music-8B-Thinking-8bit
mlx-community
5.0————
mlx-community/parakeet-tdt-0.6b-v2
mlx-community
5.0————
mlx-community/parakeet-tdt-0.6b-v3
mlx-community
5.0————
mlx-community/Qwen2-Audio-7B-Instruct-4bit
mlx-community
5.0————
mlx-community/SmolVLM2-500M-Video-Instruct-mlx
mlx-community
5.0————
MLXBits/10eros-experimental-mlx-q8
MLXBits
10.0————
MLXBits/ltx-2.3-10eros-v1.2-dmd-mlx-q8
MLXBits
10.0————
MLXBits/ltx-2.3-10eros-v1.2-mlx-q8
MLXBits
10.0————
MLXBits/ltx-2.3-10eros-v1.3-dmd-mlx-q4
MLXBits
10.0————
MLXBits/ltx-2.3-10eros-v1.3-dmd-mlx-q8
MLXBits
10.0————
MLXBits/ltx-2.3-10eros-v1.5-dmd-hybrid-mlx-q8
MLXBits
10.0————

1981–2040 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.