Coding · Head-to-head

GPT-5.5 vs Aider

GPT-5.5 (paid, AI Score 8.7/10) vs Aider (free, AI Score 8/10). Side-by-side pricing, features, pros and cons, and which to pick.

The verdict

Pick GPT-5.5 if…

→overall capability matters more than price (AI Score 8.7 vs 8)
→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.
→you need: agents

Try GPT-5.5 →

Pick Aider if…

→budget is the constraint
→your primary use case is terminal-centric developers who already hold their own api keys and want an ai editor that commits its own changes to git, especially anyone routing work to cheap open-weight or local models to keep cost and code under their own control.

Try Aider →

Spec	GPT-5.5	Aider
Category	Coding	Coding
Pricing model	paid	free
Headline pricing	API: $5/$30 per 1M tokens (in/out) as last published. ChatGPT Plus $20/mo, Pro $200/mo	Free (BYOK — pay your LLM provider)
Free tier	No free API tier. ChatGPT's free plan does not include GPT-5.5; free traffic routes to smaller models.	The tool itself is entirely free and open-source. The only spend is LLM API usage from whichever provider you point it at, and that drops to zero if you run models locally.
AI Score	8.7/10	8/10
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.	Terminal-centric developers who already hold their own API keys and want an AI editor that commits its own changes to git, especially anyone routing work to cheap open-weight or local models to keep cost and code under their own control.
Editor's pick	—	—
Use cases	development agents	development
Date added	2026-05-02	2026-04-30

Coding · paid

✓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

×Superseded by the GPT-5.6 family in June 2026, including as the model behind Codex — this is prior-generation now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

⌨️

Coding · free

✓Free and Apache-2.0, with per-request token cost printed in the terminal so spend is visible rather than hidden behind a plan quota
✓Every AI edit is its own git commit, making review, blame and rollback plain git operations
✓Provider-agnostic via LiteLLM: frontier models, cheap open-weight models and fully local Ollama models all work the same way
✓Architect mode routes planning and code-writing to two different models, which cuts cost without giving up reasoning quality
✓Publishes its own polyglot code-editing benchmark and public leaderboard, so its accuracy claims are independently checkable

×Human-in-the-loop by design: it does not run the long autonomous tool-use loops that Claude Code, OpenAI Codex and Goose now offer, so unattended multi-step work is not its shape
×Extension story is thin next to MCP-native agents; check the current docs before assuming a given external tool integration exists
×Development is effectively one maintainer, a real risk for a tool whose value depends on tracking new model releases quickly
×Terminal-first and conversation-driven, with no inline completion; the add-files-to-context workflow takes real learning for developers used to an IDE assistant

Updated 2026-08-10. Spec data sourced from official product pages and tracked in our public directory at /tools.