IT AI Index
Index Vendors › Gemini Code Assist · September 2026 Edition
1 category · Ranked

Gemini Code Assist

23Judge labels
1First choices
3Negative labels
6 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.
Best standing
0% in AI coding for enterprise buyers
Rank 7 of 46 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 0% of its 7 labels there were negative.
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 Gemini Code Assist 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 platform2%7 of 460%7under 10 labels · led by GitHub Copilot at 67%

Movement

This is the first edition on this tier, so no move can be computed for Gemini Code Assist 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 Gemini Code Assist 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 mini00101
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast01102
Mistral Small00000
DeepSeek V4 Flash10102
Llama 4 Maverick00101
Qwen 3.7 Flash00000
Kimi K201001
GLM 4.7 FlashX00000
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
Direct4 labelsNone
Paraphrase3 labelsNone
Comparative10 labelsNone
Budget-constrained4 labels1
Scale-constrained0 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative23 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.

“I'd recommend starting with Gemini Code Assist (most generous free tier) or GitHub Copilot Free” DeepSeek V4 Flash · AI coding · budget prompt · first choice
“AWS/Google stack: Amazon Q or Gemini Code Assist ($19/user/mo).” Grok 4.1 Fast · AI coding · direct prompt · alternative
“Google Cloud shop? → Gemini Code Assist” Kimi K2 · AI coding · comparative 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 Gemini Code Assist, over the 23 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Gemini Code Assist was named but was not.
ProductSame answerTook the first choice insteadHead to head
GitHub Copilot23 of 2316Not in the top three
Cursor20 of 232Not in the top three
Amazon Q Developer19 of 230Not in the top three
Tabnine18 of 231Not in the top three
Claude Code11 of 231Not in the top three
Windsurf8 of 231Not in the top three
Sourcegraph Cody5 of 230Not in the top three
Augment Code4 of 230Not in the top three
OpenAI Codex4 of 230Not in the top three
Aider3 of 230Not 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 Gemini Code Assist. 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 23 of the 23 answers that named Gemini Code Assist and are not a share of its labels.

Domains cited

axify.io14
augmentcode.com9
memeburn.com8
dev.to7
sourcegraph.com7
github.com6
learn.g2.com6
intuitionlabs.ai5
layer3labs.io5
omidsaffari.com5

Seventy-two of the seventy-two domain citations in answers naming Gemini Code Assist came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

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 Gemini Code Assist'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 Gemini Code Assist, 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 geminicodeassist.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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