Getting Started
Models
Browse the models currently available through DEVUP AI.
DEVUP AI provides access to a wide variety of machine learning models through one unified API. Our live model catalog is the source of truth for all currently supported models, their capabilities, and pricing.
Model Categories
Our platform supports diverse model architectures across multiple categories to match your application's requirements.
Language & Reasoning
General purpose language tasks, coding, and complex reasoning logic.
Vision & Multimodal
Analyze and extract information from visual inputs alongside text.
Embeddings
Convert text into dense vector representations for semantic search.
Reranking
Cross-encoder models to improve search and RAG retrieval precision.
Image Generation
Generate and edit images based on natural language prompts.
Video Generation
Synthesize dynamic video content directly from text descriptions.
Speech Recognition
Transcribe audio into text using advanced ASR technology.
Text-to-Speech
Convert natural language text into high-quality human speech.
Specialized Inference
Task-specific models fine-tuned for specialized extraction and operations.
Choosing a Model
There is no single best model for all use cases. When evaluating models from the catalog, consider these key dimensions:
Required modality
Ensure the model supports your necessary inputs (e.g., text vs. images) and outputs.
Quality and latency
Larger models may offer stronger reasoning for some workloads, while smaller models often provide lower latency.
Context requirements
Check if the model's maximum context window can fit your intended prompts and conversational history.
Supported features
Check if the model supports specific API features like tool calling or JSON mode.
Pricing
Billing varies significantly by model complexity, context size, and workload type.
Model availability
Verify the current availability status and regional presence in the live catalog.
Model Identifiers
When making API requests, you must use the exact model identifier shown in the live catalog.
Example Identifier
To use DeepSeek V4 Pro, your request must strictly specify:
deepseek-ai/DeepSeek-V4-ProModel Details
Each model in our catalog has a dedicated page providing technical details, which may include:
Model Lifecycle
Models may be updated, replaced, or removed as providers and infrastructure change.
Review the model catalog and platform notices before depending on a specific model identifier in production.
Need a different model?
If you have a specific model requirement for your workload, let us know. We review all requests based on infrastructure capabilities and developer utility.
Suggest a Model