September 2026 Edition, published · The permanent record of that edition, superseded since. The current standing is on the category page →
Index › IT › Developer platform › AI coding › Enterprise · September 2026 Edition

AI coding assistants for enterprise buyers

Asked as “AI coding assistant”, and as “AI pair programming tool”, on behalf of an enterprise B2B company. 37 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing · first-choice share
95%
95GitHub Copilot05Amazon Q Developer

95% of first choices, consensus.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.

The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all twelve models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
01GitHub Copilot95%16%68endorsed leader
02Amazon Q Developer5%12%40accepted challenger
Show the seven products at 0%, ordered by negative rate
09Cursor0%45%49criticized challenger
08Claude Code Lab in the set0%40%25criticized challenger
07Windsurf0%21%14accepted challenger
06Gemini Code Assist Lab in the set0%17%12accepted challenger
03Tabnine0%7%44accepted challenger
04Augment Code0%6%17accepted challenger
05Sourcegraph Cody0%0%14accepted challenger
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.

Gemini Code Assist is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice zero times of 4; the other eleven models zero times of 44. Claude Code is made by Anthropic, whose model Claude Haiku 4.5 is in the set. On the four share prompts that model made it the first choice zero times of 4; the other eleven models zero times of 44. Lab treatment is defined on the method page; the row is marked, not excluded.

Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
All fifteen head-to-head pages: the top six products, each against each

One product takes 95% of first choices here, so the chart would put eight markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Two products carry a negative rate above 25% in this category.

What they warned about

Eleven of twelve models held their first choice under the paraphrase. Llama 4 Maverick changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Cursor
45%
22 of 49 labels negative · 10 of 12 models · 4 hard negative
“Outright Avoid: Consumer/Free Tiers of Major Tools ... the free tier has no contractual zero-retention guarantee” DeepSeek V4 Flash, negative prompt
GitHub Copilot
16%
11 of 68 labels negative · 9 of 12 models · 4 hard negative
“interaction data ... will be used to train their AI models by default ... Enterprise action: Ban personal account usage for work code immediately.” DeepSeek V4 Flash, negative prompt
Claude Code
40%
10 of 25 labels negative · 6 of 12 models · 4 hard negative
“High Caution / Avoid for Sensitive Environments ... Exercise extreme caution; assess geopolitical exposure” Kimi K2, negative prompt
Amazon Q Developer
12%
5 of 40 labels negative · 5 of 12 models · 1 hard negative
“avoid cloud-only solutions such as GitHub Copilot, Amazon Q Developer, and Cursor in air-gapped scenarios” Perplexity Sonar, negative prompt

What they cite

Twelve of the twelve models returned a source list in this edition: four return the pages they cited and eight the search results they consulted.

Sites the answers cite

67 of 72 answers in this category came back with a source list, from 12 of 12 models: citations where the model returns them, or the search results it consulted. 977 links across 337 sites, every framing counted. Ranked by the number of answers carrying the site or page.

vendor site · Augment Code44 answers · 95 citations · 11 models
25 answers · 25 citations · 11 models
15 answers · 15 citations · 9 models
15 answers · 15 citations · 8 models
vendor site · GitHub14 answers · 19 citations · 7 models
14 answers · 15 citations · 6 models
vendor site · Tabnine13 answers · 24 citations · 7 models
12 answers · 14 citations · 7 models
12 answers · 13 citations · 9 models
vendor site · G212 answers · 12 citations · 6 models
vendor site · GitHub11 answers · 25 citations · 6 models
vendor site · GitHub11 answers · 13 citations · 8 models

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

Search against answers

Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “ai coding assistant”, “ai coding assistants”, “best ai coding assistant”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
Company and productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 daysBest Google position
GitHub github.com
GitHub Copilot 95%
95%2071,500,00031,47942,019,137 company$8114
Amazon Q amazon.com
Amazon Q Developer 5%
5%1099,9007381,681,997,879 company$106,125115
Tabnine tabnine.com0%892,9006215,5770
Augment Code augmentcode.com0%116,600199146,518201
Sourcegraph Cody sourcegraph.com0%308801410,62714
JetBrains AI Assistant jetbrains.com0%1888024485,270120
Gemini Code Assist0%6,600167
Windsurf windsurf.com0%6660,5004,50121,6030
Cline cline.bot0%2322,2008,72412,6583
Continue continue.dev0%19673,00070,6082,964

Google's top ten for the three searches hold 24 sites; 3 of them are among the sites the models cited here (augmentcode.com, axify.io, blog.exceeds.ai). The first result for “ai coding assistant” is augmentcode.com.

How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHide
ModelDirect“What is the best AI coding assistant for an enterprise B2B company?”Paraphrase“Which AI pair programming tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade AI coding assistants and how do they differ?”Budget-constrained“What is the best AI coding assistant for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating an AI coding assistant. What should we look at?”Negative“Which AI coding assistants should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5GitHub Copilot
Four alternativesClaude, Cursor, Tabnine, Windsurf
GitHub CopilotHeld
Three alternativesAmazon Q Developer, JetBrains AI Assistant, Tabnine
no first choice
Five alternativesAmazon Q Developer, Augment Code, Cursor, GitHub Copilot, Tabnine
GitHub Copilot
Two alternativesCursor, Tabnine
no first choiceagainst: ChatGPT, Claude, Cursor, Google Gemini
GPT-5.4 miniGitHub Copilot
Three alternativesAmazon Q Developer, Gemini Code Assist, OpenAI Codex
GitHub CopilotHeld
Two alternativesAmazon Q Developer, Gemini Code Assist
GitHub Copilot
Three alternativesAmazon Q Developer, Cursor, Gemini Code Assist
GitHub Copilot
Two alternativesAmazon Q Developer, Tabnine
no first choiceagainst: Cursoragainst: Cursor
Gemini 3.5 FlashGitHub Copilot
Four alternativesCursor, Sourcegraph Cody, Tabnine, Windsurf
GitHub CopilotHeld
Four alternativesAmazon Q Developer, Augment Code, Sourcegraph Cody, Tabnine
against: Claude Code, Cursor
no first choice
Six alternativesAugment Code, Claude Code, Cursor, GitHub Copilot, Sourcegraph Cody, Tabnine
GitHub Copilot
Two alternativesCursor, Tabnine
no first choiceagainst: Aider, Blackbox AI, ChatGPT, Claude, Claude Code, ClawHub / OpenClaw, Cursor, GitHub Copilot, Supermaven
Perplexity SonarGitHub Copilot
Five alternativesAmazon Q Developer, Augment Code, Gemini Code Assist, Sourcegraph Cody, Tabnine
GitHub CopilotHeld
Two alternativesGemini Code Assist, Tabnine
against: Cursor
GitHub Copilot
Seven alternativesAmazon Q Developer, Augment Code, Claude Code, Cursor, Gemini Code Assist, OpenAI Codex, Tabnine
GitHub Copilotagainst: Claude Code, Cursorno first choiceagainst: Amazon Q Developer, ChatGPT, Claude Code, Cursor, GitHub Copilot, JetBrains Junie, OpenAI Codex, Roo Code
Grok 4.20GitHub Copilot
Four alternativesAmazon Q Developer, Cursor, Tabnine, Windsurf
GitHub CopilotHeld
Three alternativesAmazon Q Developer, Cursor, Tabnine
no first choiceGitHub Copilot
Two alternativesAmazon Q Developer, Tabnine
against: Claude Code, Cursor, Gemini Code Assist, Windsurf, raw OpenAI
GitHub Copilot
One alternativeAmazon Q Developer
against: Augment Code, Cursor, Replit Agent
against: Amazon Q Developer, Cursor, Gemini Code Assist, GitHub Copilot, Tabnine
Mistral SmallGitHub Copilot
Two alternativesClaude Code, Cursor
GitHub CopilotHeld
Three alternativesJetBrains AI Assistant, Tabnine, Zed
GitHub Copilot
Four alternativesAmazon Q Developer, Augment Code, Claude Code, Cursor
GitHub Copilot
One alternativeTabnine
no first choicenothing named
DeepSeek V4 FlashGitHub Copilot
Two alternativesClaude Code, OpenAI Codex
against: Cursor, Windsurf
GitHub CopilotHeld
Two alternativesAmazon Q Developer, Tabnine
against: Cursor
GitHub Copilot
Five alternativesAmazon Q Developer, Augment Code, Cursor, Sourcegraph Cody, Tabnine
GitHub Copilot
Three alternativesAmazon Q Developer, Gemini Code Assist, Tabnine
against: Claude Code, Cursor, OpenAI Codex
no first choiceagainst: Cursoragainst: Claude Code, Cursor, GitHub Copilot, OpenAI Codex, Windsurf
Llama 4 MaverickGitHub Copilot
Three alternativesClaude Code, Cursor, OpenAI Codex
no first choiceChangedno first choiceGitHub Copilot
Two alternativesClaude Code, Cursor
no first choiceagainst: Amazon Q Developer, ChatGPT, GitHub Copilot
Qwen 3.7 FlashGitHub Copilot
Three alternativesAmazon Q Developer, Cursor, Tabnine
GitHub CopilotHeld
Two alternativesAmazon Q Developer, Tabnine
GitHub Copilot
Six alternativesAmazon Q Developer, Augment Code, Cursor, JetBrains AI Assistant, Sourcegraph Cody, Tabnine
GitHub Copilot
Two alternativesJetBrains AI Assistant, Tabnine
GitHub Copilot
Five alternativesCursor, Exceeds AI, Kilo Code, Tabnine, Windsurf
against: Amazon Q Developer, Claude Code, Cursor, GitHub Copilot, OpenClaw
Kimi K2GitHub Copilot
Two alternativesAmazon Q Developer, Tabnine
GitHub CopilotHeld
Two alternativesAmazon Q Developer, Tabnine
GitHub Copilot
Three alternativesAmazon Q Developer, Sourcegraph Cody, Tabnine
against: Cursor
Amazon Q Developer
Two alternativesGitHub Copilot, Tabnine
against: Claude Code, Cursor
no first choiceagainst: Amazon Q Developer, Claude Code, GitHub Copilot
GLM 4.7 FlashXGitHub Copilot
Seven alternativesAmazon Q Developer, Augment Code, Claude Code, Cursor, JetBrains AI Assistant, Sourcegraph Cody, Tabnine
GitHub CopilotHeld
Three alternativesAmazon Q Developer, JetBrains AI Assistant, Sourcegraph Cody
GitHub Copilot
Five alternativesAmazon Q Developer, Augment Code, JetBrains AI Assistant, Sourcegraph Cody, Tabnine
Amazon Q Developer
One alternativeJetBrains AI Assistant
against: Cursor, GitHub Copilot, Tabnine
no first choicenothing named
MiniMax M2.5GitHub Copilot
Three alternativesAugment Code, Claude Code, Cursor
GitHub CopilotHeld
Two alternativesAmazon Q Developer, Tabnine
no first choiceGitHub Copilotagainst: Cursor, Tabnineno first choiceagainst: ChatGPT, Claude, Cursor, GitHub Copilot, Google's Gemini-based tools
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Seventy-two rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 09:08yes189 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 08:23yes47 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-09-17 09:09yes1326 s
Direct recommendationPerplexity Sonarsonar2026-09-17 08:51yes205 s
Direct recommendationGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-17 08:27yes4518 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-09-17 09:10yes54 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 08:58yes1019 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 09:09yes52 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 08:55yes531 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-09-17 08:32yes1051 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 08:35yes1288 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 08:47yes513 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 09:07no05 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 09:03yes46 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-09-17 09:12yes1526 s
ParaphrasePerplexity Sonarsonar2026-09-17 08:29yes196 s
ParaphraseGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-17 08:28yes2110 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-09-17 08:18yes56 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 08:40yes1012 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 08:50yes53 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 08:22yes532 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-09-17 08:22yes2528 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 08:40yes2579 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 08:22yes1050 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 08:49yes911 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 08:26yes87 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-09-17 09:15yes2029 s
ComparativePerplexity Sonarsonar2026-09-17 09:10yes2011 s
ComparativeGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-17 08:49yes4617 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-09-17 08:44yes2515 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 08:56yes2423 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 08:18yes52 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 08:39yes541 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-09-17 08:44yes1531 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 08:34yes23182 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 08:31yes513 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 08:36yes1810 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 08:35yes36 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-17 08:59yes3031 s
Budget constrainedPerplexity Sonarsonar2026-09-17 08:26yes206 s
Budget constrainedGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-17 08:56yes2615 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-09-17 09:06yes53 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 09:09yes1018 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 09:06yes53 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 08:58no040 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-17 08:42yes948 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 08:18yes13120 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 08:50yes2071 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 08:42yes1817 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 08:22yes514 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-17 08:29no017 s
Scale constrainedPerplexity Sonarsonar2026-09-17 08:21yes208 s
Scale constrainedGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-17 08:23yes1912 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-09-17 09:03no011 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 08:16yes1324 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 08:19yes54 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 08:46yes1044 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-17 08:58yes1485 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 08:45yes1440 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 09:03no077 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 08:57yes1811 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 08:38yes46 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-09-17 09:15yes2825 s
Negative framingPerplexity Sonarsonar2026-09-17 09:12yes209 s
Negative framingGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-17 09:13yes2413 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-09-17 08:56yes57 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 08:34yes2838 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 08:38yes52 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 09:01yes970 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-09-17 09:11yes3044 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 08:44yes1441 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 08:54yes1440 s

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

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Category-scoped readings
Amazon Q read as Amazon Q Developer
Augment read as Augment Code
JetBrains AI Enterprise read as JetBrains AI Assistant
Replit read as Replit AI
Replit Enterprise read as Replit AI
Unresolved, counted raw
Blackbox AI
ClawHub / OpenClaw
Exceeds AI
Google's Gemini-based tools
SoftSpell
Unity Gateway
raw OpenAI
Discontinued, still offered
No shut-down product was recommended here.
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