IT AI Index
Index Vendors › Continue · September 2026 Edition
1 category · Named, not ranked

Continue

18Judge labels
1First choices
0Negative labels
8 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Standing
9 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Continue was named 9 times in AI coding, where GitHub Copilot led with 67%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In ai coding · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Continue 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
AI coding assistantsDeveloper platform0%14 of 460%9under 10 labels · led by GitHub Copilot at 67%

Movement

This is the first edition on this tier, so no move can be computed for Continue 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 Continue across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00101
Perplexity Sonar00000
Grok 4.1 Fast02002
Mistral Small00000
DeepSeek V4 Flash02103
Llama 4 Maverick00000
Qwen 3.7 Flash00101
Kimi K201001
GLM 4.7 FlashX01001
MiniMax M2.500000

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
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative3 labelsNone
Budget-constrained6 labels1
Scale-constrained2 labelsNone
Negative7 labelsNone
First choiceAlternativeMentionNegative18 labels in all, every segment counted; 1 of the 1 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.

“Open-source flexibility, VS Code/JetBrains, privacy-focused teams | Requires API setup; quality varies by model” Grok 4.1 Fast · AI coding · budget prompt · alternative
“Continue — all free software where you bring your own API key” DeepSeek V4 Flash · AI coding · budget prompt · alternative
“Zero cost: Cline, Aider, Continue.dev (self-hosted), Tabby.” GLM 4.7 FlashX · AI coding · budget prompt · alternative
“Continue.dev or Aider: Open-source, local/privacy-first” Grok 4.1 Fast · AI coding · negative prompt · alternative

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.

No model argued against it.

Named alongside

The products named in the same answers as Continue, over the 18 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Continue was named but was not.
ProductSame answerTook the first choice insteadHead to head
GitHub Copilot18 of 184Not in the top three
Cursor15 of 183Not in the top three
Windsurf13 of 182Not in the top three
Tabnine11 of 186Not in the top three
Claude Code9 of 181Not in the top three
Amazon Q Developer9 of 180Not in the top three
Aider8 of 181Not in the top three
Cline7 of 182Not in the top three
Ollama3 of 180Not in the top three
OpenAI Codex3 of 180Not 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 Continue. 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 13 of the 18 answers that named Continue and are not a share of its labels.

Domains cited

axify.io7
daily.dev6
augmentcode.com5
bsi.bund.de5
github.com5
memeburn.com5
dev.to4
knostic.ai4
learn.g2.com4
sourcegraph.com4

Forty-nine of the forty-nine domain citations in answers naming Continue came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Continue

What the judge wrote, as written, with how often. The vendor table decides that these count as Continue; a claim can dispute any of them.
Continue.dev 6
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 Continue'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 Continue, 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 continuent.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.

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