Compare AI tools

	Cursor TypeScript SDK A	DeepInfra A	Devin A	Kling A
Tagline	Wire Cursor's full coding-agent runtime into your own apps, scripts, and CI/CD pipelines with a few lines of TypeScript.	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.	Kuaishou's video model. The surprise standout.
Category	Dev Platform	Dev Platform	Agents	Video
Pricing	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.	Free $5 credit on signup, then pay-as-you-go from $0.06/M tokens	$500/mo	Credit-based, free trial
Best for	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.	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.	Anyone who wants top-tier video quality for less.
Strengths	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	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	Very strong motion + physics Often beats Runway on realism Great price
Weaknesses	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	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	UX is rough for English speakers Queue times
Kai's verdict	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.)	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.	A-tier. Rising fast. If you can tolerate the UX, quality per dollar is best-in-class.
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