Coding · Head-to-head

GPT-5.5 vs Tabnine

GPT-5.5 (paid, AI Score 8.7/10) vs Tabnine (paid, AI Score 7.4/10). Side-by-side pricing, features, pros and cons, and which to pick.

The verdict

Pick GPT-5.5 if…

→you need a genuinely free option
→overall capability matters more than price (AI Score 8.7 vs 7.4)
→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 Tabnine if…

→your primary use case is platform and security leads at regulated enterprises — banks, hospitals, defense contractors — who need ai code assistance running inside their own network with ip indemnification, and will trade some completion quality to get it.

Try Tabnine →

Spec	GPT-5.5	Tabnine
Category	Coding	Coding
Pricing model	paid	paid
Headline pricing	API: $5/$30 per 1M tokens (in/out) as last published. ChatGPT Plus $20/mo, Pro $200/mo	Dev ~$9/mo/user, Enterprise ~$39/mo/user, Enterprise+ custom — check website for current pricing
Free tier	No free API tier. ChatGPT's free plan does not include GPT-5.5; free traffic routes to smaller models.	—
AI Score	8.7/10	7.4/10
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.	Platform and security leads at regulated enterprises — banks, hospitals, defense contractors — who need AI code assistance running inside their own network with IP indemnification, and will trade some completion quality to get it.
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×Superseded by the GPT-5.6 family in June 2026, including as the model behind Codex — this is prior-generation now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 · paid

✓Runs fully air-gapped on-premise with no outbound calls — a deployment option Cursor and GitHub Copilot simply do not offer
✓Model choice is a real admin setting: Claude, GPT, Gemini, and open-weight models can be allowed or blocked per organization
✓The Protected model is trained only on permissively-licensed code and comes with IP indemnification, which removes the licence-contamination objection in procurement
✓Code review agent enforces your team's own written standards on pull requests, which is rarer and more useful than another completion engine
✓Broad IDE coverage — JetBrains, VS Code, Eclipse, Neovim — rather than requiring a move to a proprietary VS Code fork

×Agentic coding trails Claude Code, Cursor and Copilot agent mode — Tabnine's agents handle scoped tasks rather than driving long autonomous multi-file work
×No permanent free plan; evaluation is trial-only, where Copilot and Windsurf both offer free tiers developers can adopt without procurement
×Air-gapped deployments can only run models small enough to self-host, so quality drops exactly in the environments paying the most for the privilege
×Enterprise seat pricing is several multiples of GitHub Copilot Business, and the premium buys governance rather than better code

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