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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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Dev Platform
Audio
Research
Agents
Coding
Chatbots
Image
Video
Voice
Meetings
Design
Productivity
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Data
Marketing
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Taskade
B
Replicate
S
DeepInfra
A
Le Chat (Mistral)
B
TaglineAI project management with agents for each team.Run any open-source AI model with an API call.Blazing-fast, pay-as-you-go inference API for open-source LLMs and multimodal models, now plugged directly into the Hugging Face ecosystem.French alternative. Fast, European, privacy-focused.
CategoryProductivityDev PlatformDev PlatformChatbots
PricingFree + $8-$20/user/moPay per second of computeFree $5 credit on signup, then pay-as-you-go from $0.06/M tokensFree + $15/mo Pro
Best forSmall teams wanting AI baked into project management.Developers using open-source models (Flux, SDXL, Whisper, etc).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.European users with data residency needs. Fans of open-weight models.
Strengths
  • Custom AI agents per project
  • Doc + tasks + kanban in one
  • Affordable for teams
  • Tens of thousands of models (image, video, audio, LLMs)
  • One-line API for any model
  • Cog framework for custom model deploy
  • 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
  • European data residency
  • Very fast responses
  • Open-weight Mistral models available
  • Good French/European languages
Weaknesses
  • Feature sprawl
  • AI agents need tuning to be useful
  • Cold starts on less-popular models
  • Pricing gets real 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
  • Smaller capability gap vs frontier models
  • Less polished UX
Kai's verdictB-tier. Solid product but crowded market. Try it if Notion AI feels too generic.S-tier for open-source model APIs. The default in this space.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.)B-tier overall, A-tier if GDPR/data residency matters. Solid backup option.
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