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DeepInfra
A
Cursor TypeScript SDK
A
Hugging Face
S
Gemini
A
TaglineBlazing-fast, pay-as-you-go inference API for open-source LLMs and multimodal models, now plugged directly into the Hugging Face ecosystem.Wire Cursor's full coding-agent runtime into your own apps, scripts, and CI/CD pipelines with a few lines of TypeScript.The GitHub of AI. Models, datasets, spaces — all in one.Google's answer. Best integrated with Workspace + free for a lot.
CategoryDev PlatformDev PlatformDev PlatformChatbots
PricingFree $5 credit on signup, then pay-as-you-go from $0.06/M tokensToken-based; requires Cursor plan (Pro from $20/mo). Composer 2 at $0.50/$2.50 per M tokens (in/out); fast variant $1.50/$7.50 per M tokens.Free + $9-$20/mo + enterpriseFree + $20/mo Advanced (bundled with 2TB Drive)
Best forBackend 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 who already use Cursor and want to embed its coding-agent runtime into CI/CD pipelines, backend services, or internal developer tools without building agent infrastructure from scratch.Any ML/AI developer. Hobbyists exploring open models.Anyone already on Google, research tasks, summarizing long documents.
Strengths
  • 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
  • Same runtime as the Cursor IDE — no reinventing sandboxing, context management, or model routing
  • Three execution modes: local machine, Cursor cloud VMs (isolated per-agent), or self-hosted workers for air-gapped teams
  • Cloud agents are durable — keep running even if your laptop sleeps or connection drops, and can open PRs automatically on finish
  • Full harness included: codebase indexing, MCP servers, skills, hooks, and multi-agent delegation via subagents
  • Visible in Cursor's Agents Window — programmatic runs can be inspected or taken over manually in the IDE
  • Largest open-source AI model hub
  • Hosted inference via Spaces + Inference Endpoints
  • Great community
  • Native Google Workspace integration
  • Very long context (1M+)
  • Deep Research feature
  • Free tier is generous
Weaknesses
  • 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
  • TypeScript-only SDK — no official Python or other language bindings at launch
  • Public beta status means API surface and pricing can shift without much notice (Cursor has a track record of surprise pricing changes)
  • Cloud VM costs layer on top of subscription credits, making cost estimation non-trivial at scale
  • Overwhelming for beginners
  • Hosted inference pricing varies
  • Writing quality trails Claude
  • Over-refusals on edge content
  • UI is cluttered
Kai's verdictDeepInfra 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.)If your team is already in the Cursor ecosystem, this is a genuinely compelling way to turn ad-hoc AI coding sessions into durable, automated workflows — but the beta label and Cursor's history with opaque pricing mean you'll want to set hard budget guardrails before going to production. (Verdict pending Phi's full review.)S-tier infrastructure. The one platform every AI dev eventually uses.A-tier. The Deep Research feature is genuinely useful. Don't sleep on it if you're already paying Google.
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