Deep Infra
Deep Infra is a cloud-based platform that provides developers and businesses with access to a wide range of state-of-the-art machine learning models and inference infrastructure. The platform serves as a unified hub for deploying and running AI models from leading providers including NVIDIA, DeepSeek, Moonshot AI, Qwen (Alibaba), Z-AI, and StepFun.
Platform Overview
Deep Infra simplifies the process of accessing powerful AI models by offering:
- Model Marketplace: Access to cutting-edge models spanning text generation, multimodal capabilities, reasoning, and coding tasks
- Unified API: A consistent interface for interacting with diverse models from different providers
- Scalable Infrastructure: Production-ready infrastructure optimized for high-throughput inference
- Flexible Pricing: Pay-per-token pricing models with options for cached inputs to reduce costs
Featured Models
The platform hosts several flagship models including:
| Model | Provider | Parameters | Context Window | Key Strengths |
|---|---|---|---|---|
| Nemotron-3-Nano-Omni-30B | NVIDIA | 30B (3B active) | 256K | Multimodal (image, video, audio, text) |
| DeepSeek-V4-Pro | DeepSeek | 1.6T (49B active) | 1M | Advanced reasoning, coding, agents |
| DeepSeek-V4-Flash | DeepSeek | 284B (13B active) | 1M | Fast inference, high throughput |
| Kimi-K2.6 | Moonshot AI | - | 256K | Agentic capabilities, swarm orchestration |
| Qwen3.6-35B-A3B | Alibaba/Qwen | 35B (3B active) | 256K | Stability, coding experience |
| GLM-5.1 | Z-AI | - | 198K | Agentic engineering, SOTA coding |
| Step-3.5-Flash | StepFun | 196B (11B active) | 256K | Deep reasoning, tool calling |
| Qwen3.5-397B-A17B | Alibaba/Qwen | 397B (17B active) | 262K (ext. 1M) | 201 languages, multimodal |
Architecture Highlights
Most models on the platform utilize Mixture-of-Experts (MoE) architecture, which activates only a subset of parameters per token, enabling:
- Lower computational costs
- Faster inference times
- Maintained model quality and capabilities
Target Audience
Developers, AI engineers, data scientists, startups, and enterprises looking to integrate state-of-the-art AI models into their applications without managing infrastructure.
Key Features
- Access to 100+ state-of-the-art AI models
- Unified API for multiple model providers
- Mixture-of-Experts (MoE) optimized models
- Context windows up to 1M tokens
- Multimodal model support (text, image, video, audio)
- Pay-per-token pricing with cached input discounts
- Production-ready inference infrastructure
- Support for reasoning and agentic workflows
Use Cases
- AI-powered application development
- Long-context document analysis and processing
- Code generation and software engineering assistance
- Multimodal content understanding
- Building autonomous AI agents
- High-throughput batch inference workloads
- Research and experimentation with latest models
- Enterprise AI integration
Pros
- Wide selection of cutting-edge models from multiple providers
- Competitive pricing with cached input discounts
- Large context windows (up to 1M tokens)
- MoE architecture for cost-efficient inference
- Simple API integration
- No infrastructure management required
Cons
- Pricing can be expensive for high-volume usage
- Model availability may change over time
- Limited customization options compared to self-hosted solutions
Pricing
Pay-per-token pricing varies by model. Examples: DeepSeek-V4-Flash from $0.028/1M cached tokens; DeepSeek-V4-Pro from $0.145/1M cached tokens; Premium models like Qwen3.5-397B at $0.54/1M input tokens.
