AgentGates vs DeepInfra

Detailed side-by-side comparison to help you choose the right tool

AgentGates

AI Infrastructure

A machine-first marketplace for confidential virtual machines and model inference paid per request with USDC, available through MCP.

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Starting Price

Custom
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DeepInfra

🔴Developer

AI Infrastructure

DeepInfra review 2026: serverless open-source LLM inference, OpenAI-compatible API, per-token pricing, dedicated endpoints, LoRA hosting, pros, cons.

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Starting Price

Usage-based, ~$0.10–$3+ per 1M tokens
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Feature Comparison

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FeatureAgentGatesDeepInfra
CategoryAI InfrastructureAI Infrastructure
Pricing PlansPlan details unavailable4 listed plans
Starting PriceCustomUsage-based, ~$0.10–$3+ per 1M tokens
Key Features
  • • Intel TDX confidential VMs with public attestation pages
  • • Confidential and explicitly non-confidential inference tiers
  • • HTTP 402 x402 payments settled in USDC
  • • Serverless inference for hundreds of open-source models (Llama, Qwen, DeepSeek, Mistral, FLUX, Whisper)
  • • OpenAI-compatible chat, completions, embeddings, image, and audio APIs
  • • Transparent per-token pricing listed on each model page

AgentGates - Pros & Cons

Pros

  • ✓Starts at $0.08 per hour for an attested confidential VM
  • ✓No conventional signup or permanent API key is required
  • ✓Pricing and attestation are machine-readable
  • ✓Prepaid balances cap delegated-key spending

Cons

  • ✗Requires wallet, USDC, network, and payment-retry expertise
  • ✗Prices vary with settlement costs and live catalogs
  • ✗Balances are non-refundable and stopped machines are deleted after grace
  • ✗Confidential hardware does not secure flawed code or model outputs

DeepInfra - Pros & Cons

Pros

  • ✓Drop-in OpenAI base-URL swap means zero code change to migrate
  • ✓Among the cheapest hosted prices for popular open models (e.g. ~$0.10/M input on Llama 4 Maverick)
  • ✓LoRA hosting is unusual — most rivals make you self-deploy adapters or use Modal-style boxes

Cons

  • ✗Latency on serverless multi-tenant can spike under load — Groq is faster for chat UX, dedicated endpoints cost more
  • ✗Smaller community and fewer enterprise features than Together AI for very large deployments
  • ✗Model catalog churns; popular fine-tunes can be deprecated with limited notice — verify availability before pinning a model in production

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Review AgentGatesReview DeepInfra