Coding · Head-to-head
GPT-5.5 vs GitHub Copilot
GPT-5.5 (paid, AI Score 8.7/10) vs GitHub Copilot (freemium, AI Score 8.4/10). Side-by-side pricing, features, pros and cons, and which to pick.
The verdict
Pick GPT-5.5 if…
- →your primary use case is teams already running gpt-5.5 in production who want a generally-available, independently benchmarked frontier model rather than switching a working stack to a newer gated preview.
Pick GitHub Copilot if…
- →budget is the constraint
- →your primary use case is engineering teams whose work already lives in github issues and pull requests, who want async agent prs and automated code review inside that existing workflow rather than adopting a separate ai-first editor.
- →you need: productivity
Side-by-side specs
| Spec | GPT-5.5 | GitHub Copilot |
|---|---|---|
| Category | Coding | Coding |
| Pricing model | paid | freemium |
| Headline pricing | API: $5/$30 per 1M tokens (in/out) as last published. ChatGPT Plus $20/mo, Pro $200/mo | Free tier + Pro $10/mo, Pro+ $39/mo |
| Free tier | No free API tier. ChatGPT's free plan does not include GPT-5.5; free traffic routes to smaller models. | 2,000 completions, 50 chat messages and 50 premium requests per month, with no credit card required. Premium requests beyond a plan's allowance bill at roughly $0.04 each. |
| AI Score | 8.7/10 | 8.4/10 |
| Best for | Teams already running GPT-5.5 in production who want a generally-available, independently benchmarked frontier model rather than switching a working stack to a newer gated preview. | Engineering teams whose work already lives in GitHub issues and pull requests, who want async agent PRs and automated code review inside that existing workflow rather than adopting a separate AI-first editor. |
| Editor's pick | — | — |
| Use cases | development agents | development agents productivity |
| Date added | 2026-05-02 | 2025-05-01 |
Pros and cons
GPT-5.5
Coding · paid
Pros
- ✓Generally available and independently benchmarked, with months of production track record behind it
- ✓Genuine agentic capability: tool use, self-correction and multi-step task completion, not just single-turn answers
- ✓272K context still handles most whole-codebase and long-document work without chunking
- ✓Mini and nano tiers let you route cheap calls without leaving OpenAI
Cons
- ×Superseded by the GPT-5.6 family in June 2026, including as the model behind Codex — this is prior-generation now
- ×Still carries flagship pricing at $5/$30 while GPT-5.6 Terra ($2.50/$15) and Kimi K3 ($3/$15) target similar work for less
- ×272K context now trails the 1M-token windows on Gemini 3.5 Pro and Kimi K3
- ×Closed weights with no self-hosting path, so migration cost is entirely OpenAI's to price
GitHub Copilot
Coding · freemium
Pros
- ✓$10/mo Pro is the cheapest serious agentic coding plan — roughly half what Cursor and Claude Code charge for comparable entry tiers
- ✓Ships inside VS Code, Visual Studio, JetBrains, Xcode, Neovim, a CLI, and github.com, so there is no new editor to adopt
- ✓The coding agent delivers a reviewable pull request rather than an editor session, which slots straight into existing team review process
- ✓Agent HQ lets you run competitors' agents — Claude Code, Codex, Jules, Devin — against your repo without leaving GitHub
- ✓Free tier needs no credit card and is enough to evaluate the product properly
Cons
- ×Premium-request metering is the real cost: 300/mo on Pro disappears quickly under agent use, then it is roughly $0.04 per request on top
- ×On hard multi-file refactors and long autonomous runs, output quality still trails Claude Code, Codex, and Cursor
- ×The most capable models are gated behind Pro+ at $39/mo or Enterprise, so the $10 tier is not the full product
- ×New capabilities land in VS Code first; JetBrains and Xcode parity has repeatedly lagged by months
Related comparisons
Updated 2026-08-10. Spec data sourced from official product pages and tracked in our public directory at /tools.