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Hex
A
DeepInfra
A
Devin
A
Hugging Face
S
TaglineModern data notebook with Magic AI assistant.Blazing-fast, pay-as-you-go inference API for open-source LLMs and multimodal models, now plugged directly into the Hugging Face ecosystem.Cognition Labs' autonomous coding engineer.The GitHub of AI. Models, datasets, spaces — all in one.
CategoryDataDev PlatformAgentsDev Platform
PricingFree + $28+/user/moFree $5 credit on signup, then pay-as-you-go from $0.06/M tokens$500/moFree + $9-$20/mo + enterprise
Best forData teams at startups + enterprises.Backend developers and ML engineers who want the cheapest reliable inference for open-weight LLMs in production, especially those already living inside the Hugging Face ecosystem.Engineering teams offloading tickets. Ops/platform work.Any ML/AI developer. Hobbyists exploring open models.
Strengths
  • SQL + Python + no-code in one notebook
  • Magic AI writes queries + viz for you
  • Team-grade collaboration
  • Among the cheapest per-token rates for open-source models — consistently undercuts Together AI and Fireworks on small models
  • OpenAI-compatible API means zero migration headache from existing stacks
  • Now a first-class Hugging Face Inference Provider, so HF-native workflows (SDKs, Playground, agent harnesses) get DeepInfra with a one-line swap
  • Runs on H100/A100 and NVIDIA Blackwell GPUs with auto-scaling and 99.982% uptime SLA on dedicated tier
  • Supports LoRA adapter deployments and private custom model hosting, not just public models
  • Works like an engineer — takes Slack tasks, opens PRs
  • Handles multi-hour engineering work
  • Reports back with what it did
  • Largest open-source AI model hub
  • Hosted inference via Spaces + Inference Endpoints
  • Great community
Weaknesses
  • Overkill for casual users
  • Enterprise pricing
  • Primarily developer/API-first — no meaningful consumer-facing product or chat UI to speak of
  • Model breadth (77 tracked) lags behind aggregators like OpenRouter or Replicate for niche or newly-released models
  • No free tier beyond the $5 signup credit; requires a card or prepayment to continue
  • Expensive
  • Best for well-scoped tasks
  • Not for solo hobbyists
  • Overwhelming for beginners
  • Hosted inference pricing varies
Kai's verdictA-tier for data teams. S-tier if you already live in SQL + Python.DeepInfra is the quiet workhorse of the inference API space — serious price performance on H100s, a genuinely clean OpenAI-compatible API, and now a native HF provider makes it a strong default choice for any team running open-source models at scale. (Verdict pending Phi's full review.)A-tier for the right use case. Not for solo devs. If you manage engineers, try one license.S-tier infrastructure. The one platform every AI dev eventually uses.
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