Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 18 → 29 of 37
Gemini Code Assist
39Judge labels
0First choices
6Negative labels
12 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
0% in AI coding for enterprise buyers
Rank 10 of 48 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 0% of its 8 labels there were negative.
By buyer segmentRead the same way at every buyer size.
Small business31 of 39
0%5 labels
under the label threshold
Mid-market10 of 48
0%8 labels
under the label threshold
Enterprise5 of 52
0%26 labels
accepted challenger
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.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| AI coding assistants | Developer platform | 0% | 10 of 48 | 0% | 8 | under 10 labels · led by GitHub Copilot at 75% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Gemini Code Assist held within the floor in its one category: no change cleared 11 points.
Best category · AI coding · by segment
Mid-market▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 9 pointsRank 7 → 11 of 43
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 7 → 5 of 49
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| AI coding | 2% | 0% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 7 → 10 of 48 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Gemini Code Assist across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Gemini Code Assist across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 1 | 1 | 0 | 2 |
| Mistral Small | 1 | 0 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 1 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 2 | 0 | 0 | 2 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
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
Direct10 labelsNone
Paraphrase1 labelNone
Comparative14 labelsNone
Budget-constrained6 labelsNone
Scale-constrained3 labelsNone
Negative5 labels1not counted in share
First choiceAlternativeMentionNegative39 labels in all, every segment counted; 0 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.
“Prefer autocomplete and chat plugins (like GitHub Copilot or Gemini Code Assist) for low-risk, low-autonomy use cases.” Mistral Small · AI coding · negative prompt · first choice
“Need enterprise/cloud alignment → Gemini Code Assist or Amazon Q Developer.” Perplexity Sonar · AI coding · comparative prompt · alternative
“Best for Google Cloud teams: Gemini Code Assist / Antigravity” GPT-5.4 mini · AI coding · comparative prompt · alternative
“1M token context, GCP integration. | Google ecosystem bias.” Grok 4.20 · AI coding · direct 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 39 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.ShowHide
Named alongside
The products named in the same answers as Gemini Code Assist, over the 39 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.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. 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, five of the fourteen in this edition, so these counts come from 38 of the 39 answers that named Gemini Code Assist and are not a share of its labels.
Domains cited
augmentcode.com16
jellyfish.co14
kilo.ai13
docs.github.com11
github.com10
ibm.com10
guideflow.com9
cursor.com8
docs.cloud.google.com8
resources.rework.com8
No domain is on file for Gemini Code Assist, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Gemini Code Assist stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Gemini Code Assist stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 6,600 a month (“gemini code assist”)
- AI search demand for its name, est.
- 167 a month
- Its own site
- No site of its own on file, so no site figures
In answers
This editionShare of first choices
0%
rank 10 of 48 in AI coding
Segment leader
75%
GitHub Copilot
- First choices
- 0 across its categories
- Named in
- 39 answers
- Its own site cited
- No site on file to match
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
Names read as Gemini Code Assist
What the judge wrote, as written, with how often. The vendor table decides that these count as Gemini Code Assist; a claim can dispute any of them.
Google Gemini Code Assist 2Gemini Code Assist / Antigravity 1Gemini Code Assist Standard 1
Follow Gemini Code Assist
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
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.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Gemini Code Assist by email, built from the raw record of the edition. It shows:
- where Gemini Code Assist is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Gemini Code Assist, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.