Coding · Head-to-head
GPT-5.5 vs Amazon Q Developer
GPT-5.5 (paid, AI Score 8.7/10) vs Amazon Q Developer (freemium, AI Score 7.9/10). 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 7.9)
- →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 Amazon Q Developer if…
- →budget is the constraint
- →your primary use case is platform and backend teams already running on aws who need legacy java, .net or mainframe migrations automated, and who want an assistant that can query live account resources rather than only the repository.
- →you need: productivity
Side-by-side specs
| Spec | GPT-5.5 | Amazon Q Developer |
|---|---|---|
| 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 $19/user/mo |
| Free tier | No free API tier. ChatGPT's free plan does not include GPT-5.5; free traffic routes to smaller models. | Usable free tier accessible with only an AWS Builder ID — no AWS account or card required — covering chat, inline suggestions and security scanning under monthly request quotas. |
| AI Score | 8.7/10 | 7.9/10 |
| 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. | Platform and backend teams already running on AWS who need legacy Java, .NET or mainframe migrations automated, and who want an assistant that can query live account resources rather than only the repository. |
| Editor's pick | — | — |
| Use cases | development agents | development agents productivity |
| Date added | 2026-05-02 | 2026-05-01 |
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- ×Superseded by the GPT-5.6 family in June 2026, including as the model behind Codex — this is prior-generation now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
Amazon Q Developer
Coding · freemium
Pros
- ✓Transformation agents cover legacy migrations — Java versions, .NET Framework, mainframe COBOL, VMware — that no general-purpose coding assistant attempts
- ✓Works against live AWS account resources from the Console and CLI, not just files in a repository
- ✓Free tier needs only an AWS Builder ID, so it can be evaluated without an AWS account or a card
- ✓Pro includes IP indemnification for generated suggestions, which matters to legal review at larger companies
- ✓CLI agent supports MCP servers, so it plugs into the same tool ecosystem as rival agents
Cons
- ×Code generation and agent quality trail Claude Code, Cursor, Codex and Copilot agent mode for everyday application work
- ×AWS now sells Kiro as a separate agentic IDE, leaving two overlapping products and real ambiguity about Q Developer's roadmap priority
- ×Most of the value evaporates if your infrastructure is not on AWS
- ×Free-tier request quotas have been revised repeatedly, making the free experience hard to plan around
Related comparisons
Updated 2026-08-10. Spec data sourced from official product pages and tracked in our public directory at /tools.