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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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Gemini
A
Lovable
A
DeepInfra
A
Claude Code
S
TaglineGoogle's answer. Best integrated with Workspace + free for a lot.Build a full app from a prompt. Stripe-ready.Blazing-fast, pay-as-you-go inference API for open-source LLMs and multimodal models, now plugged directly into the Hugging Face ecosystem.Anthropic's CLI agent. Opus-powered, operates on your repo directly.
CategoryChatbotsDesignDev PlatformCoding
PricingFree + $20/mo Advanced (bundled with 2TB Drive)Free + $25-$100/moFree $5 credit on signup, then pay-as-you-go from $0.06/M tokensPart of Claude Pro/Max/Team plans
Best forAnyone already on Google, research tasks, summarizing long documents.Non-devs + solopreneurs shipping MVPs.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 who want an agent, not autocomplete. Large refactors, tests, docs.
Strengths
  • Native Google Workspace integration
  • Very long context (1M+)
  • Deep Research feature
  • Free tier is generous
  • Generates full apps + DB + auth
  • Good for non-developers
  • Ships faster than hand-coding
  • 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
  • Runs locally, edits your actual files
  • Strong on large codebases with 1M context
  • Great at multi-step tasks
Weaknesses
  • Writing quality trails Claude
  • Over-refusals on edge content
  • UI is cluttered
  • Complexity ceiling
  • Can generate brittle code
  • 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
  • Terminal-based — learning curve
  • Can't be used without Claude subscription
Kai's verdictA-tier. The Deep Research feature is genuinely useful. Don't sleep on it if you're already paying Google.A-tier. The strongest 'no-code' AI builder right now. Great for founder MVPs.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 if you live in the terminal. Different shape than Cursor — complementary, not replacement.
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