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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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Taskade
B
Google Veo
A
DeepInfra
A
Replicate
S
TaglineAI project management with agents for each team.Google's video model. Baked into Gemini + YouTube Shorts.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.
CategoryProductivityVideoDev PlatformDev Platform
PricingFree + $8-$20/user/moIncluded with Gemini Advanced $20/mo + YouTube creator toolsFree $5 credit on signup, then pay-as-you-go from $0.06/M tokensPay per second of compute
Best forSmall teams wanting AI baked into project management.Gemini Advanced users, YouTube Shorts creators.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).
Strengths
  • Custom AI agents per project
  • Doc + tasks + kanban in one
  • Affordable for teams
  • Included with Gemini Advanced
  • YouTube Shorts native integration
  • Strong prompt understanding
  • 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
Weaknesses
  • Feature sprawl
  • AI agents need tuning to be useful
  • Still catching up on quality vs Kling/Runway
  • Less control than pros need
  • 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
Kai's verdictB-tier. Solid product but crowded market. Try it if Notion AI feels too generic.A-tier if you already pay Gemini. B-tier standalone.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.
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