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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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Devin
A
DeepInfra
A
GitHub Copilot
B
Gemini
A
TaglineCognition Labs' autonomous coding engineer.Blazing-fast, pay-as-you-go inference API for open-source LLMs and multimodal models, now plugged directly into the Hugging Face ecosystem.Microsoft/GitHub's autocomplete. Deep VS Code + JetBrains integration.Google's answer. Best integrated with Workspace + free for a lot.
CategoryAgentsDev PlatformCodingChatbots
Pricing$500/moFree $5 credit on signup, then pay-as-you-go from $0.06/M tokensFree (limited) + $10/mo Pro + $19/mo BusinessFree + $20/mo Advanced (bundled with 2TB Drive)
Best forEngineering teams offloading tickets. Ops/platform work.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.Teams with GitHub already. Devs who don't want to change IDEs.Anyone already on Google, research tasks, summarizing long documents.
Strengths
  • Works like an engineer — takes Slack tasks, opens PRs
  • Handles multi-hour engineering work
  • Reports back with what it did
  • 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
  • Great enterprise story
  • Works in your existing IDE
  • Chat + autocomplete
  • Native Google Workspace integration
  • Very long context (1M+)
  • Deep Research feature
  • Free tier is generous
Weaknesses
  • Expensive
  • Best for well-scoped tasks
  • Not for solo hobbyists
  • 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
  • Less agentic than Cursor/Claude Code
  • Model quality varies
  • Writing quality trails Claude
  • Over-refusals on edge content
  • UI is cluttered
Kai's verdictA-tier for the right use case. Not for solo devs. If you manage engineers, try one license.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. Solid for autocomplete but the category moved past it. Pick Cursor unless you can't.A-tier. The Deep Research feature is genuinely useful. Don't sleep on it if you're already paying Google.
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