Coding · Head-to-head

GPT-5.5 vs Cody

GPT-5.5 vs Cody: pricing, features, and which to pick in 2026.

The verdict

Pick GPT-5.5 if…
  • overall capability matters more than price (AI Score 9.4 vs 8.6)
  • your primary use case is developers and teams needing a frontier reasoning model for agentic coding workflows and large-codebase context handling.
  • you need: agents
Try GPT-5.5 →
Pick Cody if…
  • budget is the constraint
  • your primary use case is development teams who want an ai coding assistant that reasons over their entire codebase and multiple repositories, not just the open file.
Try Cody →

Side-by-side specs

Spec GPT-5.5 Cody
Category Coding Coding
Pricing model paid freemium
Headline pricing API: $5/$30 per 1M tokens (in/out). ChatGPT Plus $20/mo, Pro $200/mo Free tier + Pro $9/mo + Enterprise custom
Free tier No free API tier. Free ChatGPT users get GPT-4o, not GPT-5.5. Autocomplete, chat, and commands with usage limits
AI Score 9.4/10 8.6/10
Best for Developers and teams needing a frontier reasoning model for agentic coding workflows and large-codebase context handling. Development teams who want an AI coding assistant that reasons over their entire codebase and multiple repositories, not just the open file.
Editor's pick ✓ Yes ✓ Yes
Use cases development agents development
Date added 2026-05-02 2026-05-01

Pros and cons

GPT-5.5 logo

GPT-5.5

Coding · paid

Pros

  • Top-of-class coding and reasoning benchmarks — measurably ahead of GPT-5 and competitive alternatives
  • True agentic capability with tool use, self-correction, and multi-step task completion
  • 272K context handles entire codebases without chunking workarounds
  • Codex integration turns it into an autonomous software engineer inside ChatGPT

Cons

  • ×API pricing is premium — $30/M output tokens adds up fast for heavy usage
  • ×No free tier for the API; ChatGPT Free users are stuck on GPT-4o
  • ×Slower inference than lighter models like GPT-4o-mini for simple tasks
  • ×Closed-source with no self-hosting option — full vendor lock-in to OpenAI
Cody logo

Cody

Coding · freemium

Pros

  • Codebase context understands your full repo, not just the open file
  • Multi-model support lets you pick the right LLM for each task
  • Works as a VS Code and JetBrains extension — no need to switch editors
  • Enterprise tier integrates with Sourcegraph code search across multiple repositories

Cons

  • ×Context engine is most capable on Enterprise tier — free users get limited repo-wide context
  • ×Lacks the autonomous agent and multi-file editing capabilities of Cursor or Windsurf
  • ×Autocomplete quality lags behind GitHub Copilot and Cursor in head-to-head comparisons
  • ×Sourcegraph integration adds complexity to enterprise setup and onboarding
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Related comparisons

Updated 2026-05-02. Spec data sourced from official product pages and tracked in our public directory at /tools.

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