Compare AI tools

	DeepInfra A	Replicate S	Hex A	Cursor TypeScript SDK A
Tagline	Blazing-fast, pay-as-you-go inference API for open-source LLMs and multimodal models, now plugged directly into the Hugging Face ecosystem.	Run any open-source AI model with an API call.	Modern data notebook with Magic AI assistant.	Wire Cursor's full coding-agent runtime into your own apps, scripts, and CI/CD pipelines with a few lines of TypeScript.
Category	Dev Platform	Dev Platform	Data	Dev Platform
Pricing	Free $5 credit on signup, then pay-as-you-go from $0.06/M tokens	Pay per second of compute	Free + $28+/user/mo	Token-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.
Best for	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.	Developers using open-source models (Flux, SDXL, Whisper, etc).	Data teams at startups + enterprises.	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.
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	Tens of thousands of models (image, video, audio, LLMs) One-line API for any model Cog framework for custom model deploy	SQL + Python + no-code in one notebook Magic AI writes queries + viz for you Team-grade collaboration	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
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	Cold starts on less-popular models Pricing gets real at scale	Overkill for casual users Enterprise pricing	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
Kai's verdict	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.)	S-tier for open-source model APIs. The default in this space.	A-tier for data teams. S-tier if you already live in SQL + Python.	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.)
Link	Open →	Open →	Open →	Open →