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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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S
Gemini
A
Symphony
A
Claude Code
S
TaglineRun any open-source AI model with an API call.Google's answer. Best integrated with Workspace + free for a lot.OpenAI's open-source daemon that turns your Linear board into an always-on coding agent factory — tickets go in, pull requests come out.Anthropic's CLI agent. Opus-powered, operates on your repo directly.
CategoryDev PlatformChatbotsAgentsCoding
PricingPay per second of computeFree + $20/mo Advanced (bundled with 2TB Drive)Free (open-source)Part of Claude Pro/Max/Team plans
Best forDevelopers using open-source models (Flux, SDXL, Whisper, etc).Anyone already on Google, research tasks, summarizing long documents.Engineering teams already using Linear + OpenAI Codex who want to stop babysitting agent sessions and instead let the issue tracker drive autonomous coding at scale.Developers who want an agent, not autocomplete. Large refactors, tests, docs.
Strengths
  • Tens of thousands of models (image, video, audio, LLMs)
  • One-line API for any model
  • Cog framework for custom model deploy
  • Native Google Workspace integration
  • Very long context (1M+)
  • Deep Research feature
  • Free tier is generous
  • Fully autonomous ticket-to-PR pipeline: every open Linear issue gets its own isolated Codex agent without manual supervision
  • Fault-tolerant Elixir/OTP architecture automatically restarts crashed agents and manages hundreds of concurrent runs
  • WORKFLOW.md keeps all orchestration policy version-controlled inside the repo, so agent behavior is reproducible and reviewable like code
  • Proven internal results: OpenAI reported a 500% increase in landed PRs on some teams within three weeks
  • Open spec encourages community re-implementations in any language, not just Elixir
  • Runs locally, edits your actual files
  • Strong on large codebases with 1M context
  • Great at multi-step tasks
Weaknesses
  • Cold starts on less-popular models
  • Pricing gets real at scale
  • Writing quality trails Claude
  • Over-refusals on edge content
  • UI is cluttered
  • Currently only supports Linear as an issue tracker — GitHub Issues and Jira integrations are not yet official
  • Only OpenAI Codex is officially supported as the agent runtime; other model integrations are community-contributed and incomplete
  • Self-hosted, Elixir-dependent engineering preview with no built-in sandboxing — not suitable for untrusted or production environments out of the box
  • Terminal-based — learning curve
  • Can't be used without Claude subscription
Kai's verdictS-tier for open-source model APIs. The default in this space.A-tier. The Deep Research feature is genuinely useful. Don't sleep on it if you're already paying Google.Symphony is the most architecturally serious 'issue tracker as control plane' approach yet — 15K GitHub stars in weeks confirms the idea resonates — but it's still a rough, self-hosted engineering preview that demands Elixir chops and a Linear-only workflow. (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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