Coding · Head-to-head

GPT-5.5 vs Goose

GPT-5.5 (paid, AI Score 8.7/10) vs Goose (free, AI Score 7.8/10). 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 7.8)
→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.

Try GPT-5.5 →

Pick Goose if…

→budget is the constraint
→your primary use case is developers who already hold llm api keys and want an apache-2.0 agent they can run locally, capture as scheduled recipes, and point at their own mcp servers — rather than a hosted assistant billed per seat.
→you need: productivity

Try Goose →

Spec	GPT-5.5	Goose
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 (open-source, Apache 2.0) — you pay your own LLM API costs
Free tier	No free API tier. ChatGPT's free plan does not include GPT-5.5; free traffic routes to smaller models.	Entirely free under Apache 2.0 with no paid tier. Your only cost is token spend with whichever model provider you configure, or zero if you run local models through Ollama. Check the site for current pricing before relying on this.
AI Score	8.7/10	7.8/10
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.	Developers who already hold LLM API keys and want an Apache-2.0 agent they can run locally, capture as scheduled recipes, and point at their own MCP servers — rather than a hosted assistant billed per seat.
Editor's pick	—	—
Use cases	development agents	development agents productivity
Date added	2026-05-02	2026-06-07

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×Superseded by the GPT-5.6 family in June 2026, including as the model behind Codex — this is prior-generation now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

✓Apache 2.0 with no seat licence, no subscription and no vendor deciding your quota
✓Recipes plus the built-in scheduler turn repeated work into shareable files that run unattended — rare among open-source agents
✓Lead/worker model configuration is a real cost control: plan on a frontier model, execute on a cheap one
✓Desktop app and CLI share one agent core, so non-terminal users get the same capability
✓Model-agnostic in practice, including fully local inference via Ollama for air-gapped or cost-sensitive work

×Output quality is entirely your model choice — Goose adds no proprietary model or training, so it trails harnesses tuned to a specific frontier model on hard agentic tasks
×Not an editor: you still bring your own IDE, and there is no inline diff-review surface comparable to Cursor or Windsurf
×MCP extension quality varies widely; community servers range from solid to abandoned, and vetting is on you
×You own the API keys, the billing and the blast radius — an agent with shell access and a weak prompt can do real damage on a local machine

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