Every category where a model named Tabnine for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
AI coding assistants	Developer platform	0%	12 of 46	5%	39	accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Tabnine yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Tabnine across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	First choice	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	0	2	0	2
GPT-5.4 mini	0	2	1	0	3
Gemini 3.5 Flash	0	2	0	0	2
Perplexity Sonar	0	3	0	0	3
Grok 4.1 Fast	1	3	1	0	5
Mistral Small	0	1	1	0	2
DeepSeek V4 Flash	1	2	2	1	6
Llama 4 Maverick	0	0	1	0	1
Qwen 3.7 Flash	1	3	0	0	4
Kimi K2	1	3	1	1	6
GLM 4.7 FlashX	0	3	0	0	3
MiniMax M2.5	0	2	0	0	2

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct19 labelsNone

Paraphrase25 labelsNone

Comparative26 labelsNone

Budget-constrained20 labelsNone

Scale-constrained13 labelsNone

Negative16 labels11not counted in share

First choiceAlternativeMentionNegative119 labels in all, every segment counted; 0 of the 11 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Prefer: Tools with explicit zero-retention contracts (Enterprise plans of Tabnine, GitHub Copilot Enterprise, Sourcegraph Cody Enterprise)” DeepSeek V4 Flash · AI coding · negative prompt · first choice

“Safer Alternative: Use self-hosted or local-only solutions like Tabnine (Private Cloud/Enterprise)” Qwen 3.7 Flash · AI coding · negative prompt · first choice

“Safer Alternatives (With Proper Configuration) ... SOC 2, ISO 27001, GDPR compliant” Kimi K2 · AI coding · negative prompt · first choice

“prioritize local options like Tabnine” Grok 4.1 Fast · AI coding · negative prompt · first choice

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“Avoid Tabnine for budget-conscious teams” Kimi K2 · AI coding · budget prompt · hard negative

“Tabnine: ~$70,800/year (but offers on-prem/private deployment)” DeepSeek V4 Flash · AI coding · budget prompt · soft negative

Named alongside

The products named in the same answers as Tabnine, over the 118 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Tabnine was named but was not.

ProductSame answerTook the first choice insteadHead to head

GitHub Copilot117 of 11876Not in the top three

Cursor93 of 11811Not in the top three

Amazon Q Developer78 of 1185Not in the top three

Windsurf49 of 1188Not in the top three

Claude Code40 of 1181Not in the top three

Sourcegraph Cody20 of 1180Not in the top three

Gemini Code Assist18 of 1181Not in the top three

Augment Code15 of 1181Not in the top three

Aider11 of 1180Not in the top three

Continue11 of 1180Not in the top three

A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Tabnine. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 94 of the 118 answers that named Tabnine and are not a share of its labels.

Domains cited

axify.io52

augmentcode.com41

dev.to26

memeburn.com24

learn.g2.com23

tabnine.comYour site21

zapier.com19

docs.github.com18

layer3labs.io18

getdx.com17

238 of the 259 domain citations in answers naming Tabnine came from somebody else's page.

Pages cited

axify.io/blog/the-best-ai-coding-assistants-a-full-comparison-of-20-tools52

memeburn.com/best-ai-coding-tools24

learn.g2.com/best-ai-coding-assistants23

zapier.com/blog/ai-coding-tools19

augmentcode.com/tools/beyond-github-copilot-5-enterprise-ready-ai-coding-assistants17

augmentcode.com/tools/8-top-ai-coding-assistants-and-their-best-use-cases16

docs.github.com/en/copilot/get-started/plans14

gartner.com/reviews/market/ai-code-assistants14

Pages are listed as the models cited them.

Names read as Tabnine

What the judge wrote, as written, with how often. The vendor table decides that these count as Tabnine; a claim can dispute any of them.

Tabnine Enterprise 6Tabnine (Enterprise) 3Tabnine (Private Cloud/Enterprise) 1Tabnine (Team) 1

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Tabnine's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Tabnine, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at tabnine.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.