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Side-by-side: what they do, what they cost, what Kai actually thinks. Pass up to 4 tools via ?tools=claude,chatgpt,gemini.
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Groq
S
Google Veo
A
Cursor TypeScript SDK
A
NotebookLM
S
TaglineThe fastest AI inference in the world. Crazy low latency.Google's video model. Baked into Gemini + YouTube Shorts.Wire Cursor's full coding-agent runtime into your own apps, scripts, and CI/CD pipelines with a few lines of TypeScript.Google's research notebook. Turns your docs into a podcast.
CategoryDev PlatformVideoDev PlatformResearch
PricingFree tier + pay-as-you-go APIIncluded with Gemini Advanced $20/mo + YouTube creator toolsToken-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
Best forDevelopers who need sub-100ms LLM responses.Gemini Advanced users, YouTube Shorts creators.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.Students, researchers, anyone with a stack of PDFs or a topic to learn.
Strengths
  • 500+ tokens/sec on Llama/Mixtral — feels instant
  • Custom LPU hardware
  • Great free tier
  • Included with Gemini Advanced
  • YouTube Shorts native integration
  • Strong prompt understanding
  • 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
  • Upload anything, ask questions, get cited answers
  • Audio Overview turns docs into a 10-min podcast
  • Great for studying
Weaknesses
  • Open-weight models only (no Claude/GPT)
  • Less flexibility on custom configs
  • Still catching up on quality vs Kling/Runway
  • Less control than pros need
  • 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
  • Google-only
  • Can be slow on large corpora
Kai's verdictS-tier for speed. When latency is the product, start here.A-tier if you already pay Gemini. B-tier standalone.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 for study. The Audio Overview is a killer feature. Try it with three of your favorite PDFs.
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