Cursor vs Tabnine
One of fourteen models named Cursor first on the direct prompt; zero named Tabnine. Cursor was named by fourteen of the fourteen models and Tabnine by eleven and Cursor carries 57 labels and Tabnine 33, so the shares are not directly comparable.
Named in four categories this edition.
Named in two categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the AI coding assistants page.
By framing
CursorFirst choices, of fourteen modelsTabnine
Across every category in the October 2026 Edition, Cursor and Tabnine were named in the same answer eighty-seven times, of the 176 answers naming Cursor and the 119 naming Tabnine. In those answers Tabnine took the first choice thirteen times and Cursor ten.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | |||
| GPT-5.4 mini | | | | | ||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | ||
| Grok 4.1 Fast | | | | | | |
| Mistral Small | | | ||||
| DeepSeek V4 Flash | | | | | ||
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | | | | | |
| Kimi K2 | | | | | ||
| GLM 4.7 FlashX | | | | | ||
| MiniMax M2.5 | | | | | ||
| GPT-6 Luna | | | | | | |
| Muse Glimmer 30B | | | | | |
Cursor Tabnine first choice named as an alternative argued againstblank: not namedEach cell is one answer, Cursor on the left and Tabnine on the right.The direct prompt
Cursor first, Tabnine not the choice
1 of 14 modelsTabnine was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
10 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
Tabnine9%#2 of 9Cursor0%#9 of 9What the models said about Cursor
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Cursor says it sends prompts and code context to model providers like OpenAI, Anthropic, and Google... If you're on an individual plan, the DPA does not apply.” GPT-5.4 mini · negative prompt · soft negative
“Cursor, Replit, Windsurf, OpenAI Codex. Named in the 43.1% unauthorized file operations taxonomy and in the IDEsaster 100% vulnerable set.” Muse Glimmer 30B · negative prompt · soft negative
“Cursor has bugs and inconsistent outputs, where the AI claims to have completed a task but hasn't actually done what it said” Claude Haiku 4.5 · negative prompt · soft negative
“Cursor at $20-40/month offers the most sophisticated agent workflows with Composer mode, multi-file awareness, and autonomous coding capabilities.” Muse Glimmer 30B · comparative prompt · first choice
“It earns the top overall ranking based on its whole-codebase context awareness, multi-file editing capabilities, and strong accuracy scores” Claude Haiku 4.5 · comparative prompt · first choice
“Select two of the above tools (e.g., GitHub Copilot and Cursor) and run a head-to-head pilot” Gemini 3.5 Flash · scale prompt · first choice
What the models said about Tabnine
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“on-prem / local models such as Tabnine are repeatedly called out as the privacy champion because your code never leaves your infrastructure” Muse Glimmer 30B · negative prompt · first choice
“Prefer privacy-first tools like Tabnine (which can run locally/air-gapped and is trained only on permissively licensed code)” DeepSeek V4 Flash · negative prompt · first choice
“I'd start with Amazon CodeWhisperer or Tabnine since they're free” MiniMax M2.5 · budget prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.