IT AI Index

Index › Vendors › OpenAI Codex · September 2026 Edition

1 category · Named, not ranked

OpenAI Codex

12Judge labels

0First choices

4Negative labels

5 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

4 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. OpenAI Codex was named 4 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.

Small business13 of 45

under the label threshold

Mid-market27 of 46

under the label threshold

Enterprise34 of 47

under the label threshold

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 OpenAI Codex 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%	27 of 46	25%	4	under 10 labels · led by GitHub Copilot at 67%

Movement

This is the first edition on this tier, so no move can be computed for OpenAI Codex 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 OpenAI Codex across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

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

Direct3 labelsNone

Paraphrase0 labelsNone

Comparative4 labelsNone

Budget-constrained1 labelNone

Scale-constrained1 labelNone

Negative3 labelsNone

First choiceAlternativeMentionNegative12 labels in all, every segment counted; 0 of the 0 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.

“Best for reasoning through hard code problems: Claude Code or ChatGPT/Codex” GPT-5.4 mini · 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.

“Avoid: Free tiers of Copilot/Windsurf for proprietary code” DeepSeek V4 Flash · AI coding · negative prompt · hard negative

Named alongside

The products named in the same answers as OpenAI Codex, over the 12 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and OpenAI Codex was named but was not.

ProductSame answerTook the first choice insteadHead to head

GitHub Copilot12 of 126Not in the top three

Claude Code11 of 122Not in the top three

Cursor11 of 122Not in the top three

Tabnine6 of 121Not in the top three

Windsurf6 of 121Not in the top three

Amazon Q Developer6 of 120Not in the top three

Gemini Code Assist4 of 120Not in the top three

Aider3 of 120Not in the top three

Cline3 of 120Not in the top three

Continue3 of 120Not 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 OpenAI Codex. 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 12 of the 12 answers that named OpenAI Codex and are not a share of its labels.

Domains cited

augmentcode.com6

dev.to5

axify.io4

checkmarx.com3

omidsaffari.com3

resources.rework.com3

tech-insider.org3

agentic.ai2

arxiv.org2

bsi.bund.de2

Thirty-three of the thirty-three domain citations in answers naming OpenAI Codex came from somebody else's page.

Pages cited

axify.io/blog/the-best-ai-coding-assistants-a-full-comparison-of-20-tools4

augmentcode.com/tools/beyond-github-copilot-5-enterprise-ready-ai-coding-assistants3

omidsaffari.com/blog/best-ai-coding-agents-for-enterprise3

tech-insider.org/best-ai-coding-assistants-20263

agentic.ai/best/enterprise-coding-agents2

augmentcode.com/tools/8-top-ai-coding-assistants-and-their-best-use-cases2

augmentcode.com/tools/best-enterprise-ai-code-generators2

bsi.bund.de/SharedDocs/Downloads/EN/BSI/KI/ANSSI_BSI_AI_Coding_Assistants.pdf2

Pages are listed as the models cited them.

Names read as OpenAI Codex

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

ChatGPT / Codex 1Codex 1GitHub Copilot / OpenAI Codex 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 OpenAI Codex'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 OpenAI Codex, 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 openai.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.