AI coding assistants for enterprise buyers
Asked as “AI coding assistant”, and as “AI pair programming tool”, on behalf of an enterprise B2B company. 44 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
86%
Clear leader
86GitHub Copilot05Amazon Q Developer02Gemini Code Assist07others
86% of first choices, clear leader.
Since October 2026▲+4Since October 2026: 82% → 86%, +4 points. Inside the 11-point floor: within noise.GitHub Copilot held the lead, +4 points on 82%, inside the 11-point floor.
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.
Small business
GitHub Copilot73%Clear leader▲+10Since October 2026: 63% → 73%, +10 points. Inside the 11-point floor: within noise.Standing →Mid-marketGitHub Copilot80%Clear leader▲+5Since October 2026: 75% → 80%, +5 points. Inside the 11-point floor: within noise.Standing →EnterpriseGitHub Copilot86%Clear leader▲+4Since October 2026: 82% → 86%, +4 points. Inside the 11-point floor: within noise.This page
GitHub Copilot73%Clear leader▲+10Since October 2026: 63% → 73%, +10 points. Inside the 11-point floor: within noise.Standing →Mid-marketGitHub Copilot80%Clear leader▲+5Since October 2026: 75% → 80%, +5 points. Inside the 11-point floor: within noise.Standing →EnterpriseGitHub Copilot86%Clear leader▲+4Since October 2026: 82% → 86%, +4 points. Inside the 11-point floor: within noise.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01GitHub Copilot86%13%76endorsed leader▲+4Since October 2026: 82% → 86%, +4 points. Inside the 11-point floor: within noise.82% → 86%
GitHub Copilot86%13%76endorsed leader▲+4Since October 2026: 82% → 86%, +4 points. Inside the 11-point floor: within noise.82% → 86%02
Amazon Q Developer5%6%54accepted challenger▼−2Since October 2026: 7% → 5%, −2 points. Inside the 11-point floor: within noise.7% → 5%
Amazon Q Developer5%6%54accepted challenger▼−2Since October 2026: 7% → 5%, −2 points. Inside the 11-point floor: within noise.7% → 5%03Gemini Code Assist Lab in the set2%14%22accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
Show the six products at 0%, ordered by negative rate
09
OpenAI Codex Lab in the set0%45%11criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
OpenAI Codex Lab in the set0%45%11criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%07
Cursor0%35%49criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Cursor0%35%49criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%08
Windsurf0%33%15criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Windsurf0%33%15criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%05
Claude Code Lab in the set0%16%31accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Claude Code Lab in the set0%16%31accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%04
Tabnine0%7%46accepted challenger▼−9Since October 2026: 9% → 0%, −9 points. Inside the 11-point floor: within noise.9% → 0%
Tabnine0%7%46accepted challenger▼−9Since October 2026: 9% → 0%, −9 points. Inside the 11-point floor: within noise.9% → 0%06
Sourcegraph Cody0%6%17accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Sourcegraph Cody0%6%17accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%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 can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured
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 thirteen models one time of 52. 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 thirteen models zero times of 52. OpenAI Codex is made by OpenAI, whose model GPT-5.4 mini and GPT-6 Luna is in the set. On the four share prompts that model made it the first choice zero times of 8; the other twelve models zero times of 48. Lab treatment is defined on the method page; the row is marked, not excluded.
For buyers
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 86% 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. Three products carry a negative rate above 25% in this category.
What they warned about
Twelve of fourteen models held their first choice under the paraphrase. Gemini 3.5 Flash and Qwen 3.7 Flash 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.
Cursor35%
17 of 49 labels negative · 9 of 14 models · 2 hard negative
“can send code to third-party providers. Risks include data used for training, indirect prompt injection, and lack of enterprise-grade isolation.” Grok 4.20, negative prompt
GitHub Copilot13%
10 of 76 labels negative · 9 of 14 models · 2 hard negative
“Consumer or individual subscriptions—including personal GitHub Copilot, ChatGPT, Claude, Cursor, or similar accounts—because they sit outside corporate SSO” Perplexity Sonar, negative prompt
ChatGPT62%
5 of 8 labels negative · 5 of 14 models · 4 hard negative
“Strictly Avoid: Unmanaged "Free" and Personal Accounts ... Sending proprietary code to these accounts is a direct violation of most corporate governance policies.” Qwen 3.7 Flash, negative prompt
Windsurf33%
5 of 15 labels negative · 5 of 14 models · 2 hard negative
“the free tier lacks the contractual guarantees (SLAs, Data Processing Agreements) that large enterprises require” Qwen 3.7 Flash, negative prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
74 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 866 links across 302 sites, every framing counted. Ranked by the number of answers carrying the site or page. 61 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · GitHub27 answers · 38 citations · 11 models
vendor site · GitHub25 answers · 63 citations · 8 models
publisher (Gane)20 answers · 29 citations · 9 models
vendor site · Superblocks17 answers · 21 citations · 10 models
vendor site · Augment Code14 answers · 21 citations · 11 models
13 answers · 13 citations · 7 models
13 answers · 13 citations · 9 models
12 answers · 21 citations · 7 models
12 answers · 12 citations · 6 models
vendor site · Amazon11 answers · 17 citations · 8 models
11 answers · 11 citations · 7 models
11 answers · 11 citations · 9 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.
14 answers · 7 models
13 answers · 7 models
12 answers · 8 models
10 answers · 8 models
10 answers · 7 models
9 answers · 6 models
8 answers · 5 models
8 answers · 6 models
7 answers · 5 models
6 answers · 6 models
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 products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| GitHub github.com GitHub Copilot 86% | 86% | 207 | 1,500,000 | 31,479 | 42,019,137 company | $81 | 14 | |
| Amazon Q amazon.com Amazon Q Developer 5% | 5% | 109 | 9,900 | 738 | 1,681,997,879 company | $106,125 | 115 | |
| Gemini Code Assist | 2% | 6,600 | 167 | |||||
| JetBrains Junie jetbrains.com JetBrains AI Assistant 2%, JetBrains Junie 0% | 2% | 18 | 880 | 24 | 485,270 | 120 | ||
| GitHub Copilot for Business/Enterprise | 2% | |||||||
| OpenAI openai.com | 2% | 33 | 41,056,966 | $3,732 | 117 | |||
| Tabnine tabnine.com | 0% | 89 | 2,900 | 62 | 15,577 | 0 | ||
| Claude Code claude.com | 0% | 92 | 550,000 | 9,804 | 3,090,945 | $1,889 | 120 | |
| Sourcegraph Cody sourcegraph.com | 0% | 30 | 880 | 14 | 10,627 | 14 | ||
| Cursor cursor.com | 0% | 164 | 301,000 | 22,500 | 350,718 | $28 | 119 | 6 |
Google's top ten for the three searches hold 24 sites; 1 of them are among the sites the models cited here (augmentcode.com). 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
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.
ShowHideModelDirect“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 CopilotGitHub CopilotHeldClaude Code, Cursor, GitHub CopilotGitHub Copilotno first choiceagainst: Claude Code, Cursor, GitHub Copilot
Three alternatives
Augment Code, Superblocks, TabnineThree alternatives
Amazon Q Developer, JetBrains AI Assistant, TabnineTwo alternatives
OpenAI Codex, TabnineOne alternative
Gemini Code AssistGPT-5.4 miniGitHub CopilotGitHub CopilotHeldGitHub CopilotGitHub Copilotagainst: ChatGPT, Gemini Code Assist, OpenAI CodexOpenAIagainst: GitHub Copilot, OpenAI Codex
Two alternatives
Amazon Q Developer, CursorOne alternative
CursorFour alternatives
Amazon Q Developer, Gemini Code Assist, Tabnine, WindsurfOne alternative
Amazon Q DeveloperGemini 3.5 Flashno first choiceGitHub CopilotChangedagainst: Claude Code, CursorCursorAmazon Q Developerno first choiceagainst: Claude, Consumer ChatGPT, Cursor, VS Code, Windsurf
Five alternatives
Amazon Q Developer, Cursor, GitHub Copilot, Tabnine, WindsurfThree alternatives
Amazon Q Developer, GitLab Duo, TabnineFive alternatives
Amazon Q Developer, Claude Code, GitHub Copilot, Tabnine, WindsurfThree alternatives
GitHub Copilot, Tabnine, WindsurfPerplexity SonarGitHub CopilotGitHub CopilotHeldGitHub CopilotGemini Code Assistagainst: Claude Code, Cursorno first choiceagainst: ChatGPT, Claude, Cursor, GitHub Copilot, OpenAI Codex, Windsurf
Three alternatives
Augment Code, Claude Code, TabnineFive alternatives
Amazon Q Developer, Augment Code, Cursor, Sourcegraph Cody, TabnineSeven alternatives
Amazon Q Developer, Claude Code, Cursor, Gemini Code Assist, JetBrains AI Assistant with Junie, Sourcegraph Cody, TabnineOne alternative
GitHub CopilotGrok 4.20GitHub Copilotagainst: CursorGitHub CopilotHeldGitHub Copilotagainst: CursorGitHub Copilotagainst: Anthropic Claude for Work / Claude Code, Augment Code, Cursor, Google offeringsno first choiceagainst: Amazon Q Developer, ChatGPT, Claude, Cursor, GitHub Copilot, Replit AI, Tabnine, Windsurf
Three alternatives
Amazon Q Developer, Gemini Code Assist, TabnineThree alternatives
Amazon Q Developer, Cursor, Sourcegraph CodyFive alternatives
Amazon Q Developer, Claude Code, IBM watsonx Code Assistant, Sourcegraph Cody, TabnineThree alternatives
Amazon Q Developer, JetBrains AI Assistant, TabnineMistral SmallGitHub CopilotGitHub CopilotHeldGitHub CopilotGitHub Copilotagainst: JetBrains AI Assistant, Tabnineno first choicenothing named
Two alternatives
Augment Code, Claude CodeFive alternatives
Amazon Q Developer, Claude Code, Cursor, Gemini Code Assist, Sourcegraph CodyDeepSeek V4 FlashGitHub CopilotGitHub CopilotHeldClaude Code, GitHub Copilotagainst: Gemini Code AssistGitHub Copilotagainst: Claude Code, Cursor, OpenAI Codexno first choiceagainst: Aider, Amazon Q Developer, Continue, Cursor, GitHub Copilot, Replit's Ghostwriter, Sourcegraph Cody, Tabnine
One alternative
Claude CodeThree alternatives
Amazon Q Developer, Cursor, TabnineThree alternatives
Amazon Q Developer, Cursor, TabnineTwo alternatives
Amazon Q Developer, TabnineLlama 4 MaverickGitHub CopilotGitHub CopilotHeldGitHub CopilotGitHub CopilotJetBrains AI Assistantnothing named
Three alternatives
Claude Code, Cursor, SuperblocksTwo alternatives
Cursor, Sourcegraph CodyThree alternatives
Claude Code, OpenAI Codex, Sourcegraph CodyTwo alternatives
Claude Code, CursorOne alternative
GitHub CopilotQwen 3.7 FlashAmazon Q Developer, GitHub CopilotGitHub CopilotChangedagainst: CursorGitHub CopilotGitHub Copilot for Business/Enterpriseno first choiceagainst: Bolt.new, ChatGPT, Claude, Cursor, Devin, GitHub Copilot, Replit Agents, Vercel, Windsurf
Two alternatives
Cursor, TabnineOne alternative
Gemini Code AssistFour alternatives
Amazon Q Developer, GitLab Duo, Sourcegraph Cody, TabnineOne alternative
TabnineKimi K2GitHub CopilotGitHub CopilotHeldGitHub CopilotGitHub Copilotno first choiceagainst: Cursor, Windsurfagainst: Cursor, Replit AI
Three alternatives
Amazon Q Developer, Claude Code, TabnineOne alternative
TabnineThree alternatives
Amazon Q Developer, Sourcegraph Cody, TabnineThree alternatives
Augment Code, Tabnine, ibl.aiTwo alternatives
GitHub Copilot, TabnineGLM 4.7 FlashXGitHub CopilotGitHub CopilotHeldGitHub CopilotGitHub Copilotno first choiceagainst: ChatGPT, GitHub Copilot, Kilo Code, OpenAI Codex, Trae
Three alternatives
Amazon Q Developer, ChatGPT, TabnineOne alternative
ChatGPTFour alternatives
Amazon Q Developer, Gemini Code Assist, Sourcegraph Cody, TabnineThree alternatives
Amazon Q Developer, Claude Code, CursorMiniMax M2.5GitHub CopilotGitHub CopilotHeldGitHub CopilotGitHub Copilotno first choicenothing named
Four alternatives
Amazon Q Developer, ChatGPT, Cursor, TabnineFour alternatives
Amazon Q Developer, JetBrains AI Assistant, Tabnine, WindsurfSeven alternatives
Amazon Q Developer, Claude Code, Cursor, Databricks Genie Code, Gemini Code Assist, JetBrains Junie, Sourcegraph CodyTwo alternatives
Amazon Q Developer, JetBrains AI AssistantGPT-6 LunaGitHub CopilotGitHub CopilotHeldGitHub CopilotGitHub Copilotagainst: Copilot access, GitHub Copilotno first choiceagainst: Amazon Q Developer, Cursor, GitHub Copilot, Replit AI
Three alternatives
Claude Code, Cursor, GitLab Duo Agent PlatformTwo alternatives
Claude Code, CursorSix alternatives
Amazon Q Developer, Claude Code, Cursor, Gemini Code Assist, OpenAI Codex, TabnineOne alternative
Amazon Q DeveloperMuse Glimmer 30BGitHub CopilotGitHub CopilotHeldGitHub CopilotGitHub Copilotno first choiceagainst: Claude Code, Cursor, Gemini Code Assist, GitHub Copilot, OpenAI GPT / ChatGPT consumer
Two alternatives
Amazon Q Developer, TabnineTwo alternatives
Amazon Q Developer, KiloSeven alternatives
Amazon Q Developer, now evolving to Kiro, Cursor, Devin, Gemini Code Assist, Sourcegraph Cody, Tabnine, WindsurfOne alternative
Amazon Q DeveloperBold 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.
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 14:51 | yes | 19 | 10 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 13:23 | yes | 4 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:20 | no | 0 | 17 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 15:52 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:40 | yes | 5 | 11 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:34 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 13:01 | yes | 20 | 26 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 17:52 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 17:08 | no | 0 | 28 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:17 | yes | 15 | 25 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 16:00 | yes | 15 | 78 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:16 | yes | 5 | 24 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 13:04 | yes | 4 | 14 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 18:10 | yes | 15 | 17 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 16:22 | no | 0 | 5 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 15:01 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:57 | yes | 12 | 18 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 18:15 | yes | 10 | 4 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:16 | yes | 10 | 10 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 14:12 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 16:25 | yes | 25 | 45 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 13:54 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:19 | yes | 5 | 30 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 17:12 | yes | 20 | 30 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 19:03 | yes | 10 | 40 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:30 | no | 0 | 12 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 19:13 | yes | 3 | 14 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 18:11 | yes | 15 | 15 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:21 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 15:50 | yes | 6 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:47 | yes | 12 | 25 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 18:49 | yes | 10 | 10 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:59 | yes | 5 | 15 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 08:51 | yes | 15 | 13 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:24 | yes | 25 | 30 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 15:18 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 15:37 | no | 0 | 33 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:08 | yes | 15 | 27 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:01 | yes | 25 | 104 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:29 | yes | 5 | 24 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:53 | yes | 7 | 22 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:16 | yes | 15 | 31 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 17:06 | yes | 19 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:22 | yes | 5 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:40 | yes | 15 | 23 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 10:57 | yes | 10 | 4 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 17:14 | yes | 5 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 17:24 | yes | 5 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:01 | yes | 10 | 22 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:34 | yes | 10 | 5 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 14:51 | yes | 9 | 53 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:22 | yes | 25 | 24 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:23 | yes | 14 | 65 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:08 | yes | 20 | 86 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 15:41 | yes | 3 | 16 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 13:18 | yes | 22 | 44 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 14:37 | yes | 19 | 15 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 16:27 | yes | 6 | 9 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 18:25 | no | 0 | 20 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 08:40 | yes | 10 | 8 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 18:15 | yes | 13 | 18 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 08:43 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 14:05 | yes | 22 | 61 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 16:07 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 08:59 | no | 0 | 29 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 19:06 | yes | 14 | 61 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:10 | yes | 24 | 53 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:26 | no | 0 | 18 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:40 | yes | 4 | 30 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 08:35 | yes | 15 | 27 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 08:59 | yes | 18 | 11 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 17:01 | yes | 5 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 18:05 | no | 0 | 20 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 17:32 | yes | 10 | 5 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:10 | yes | 5 | 12 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:13 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:19 | yes | 24 | 32 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:47 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:26 | yes | 10 | 73 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:09 | yes | 24 | 37 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:50 | yes | 24 | 78 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 08:38 | yes | 5 | 17 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 16:11 | yes | 5 | 18 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 14:18 | yes | 23 | 37 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
Copilot read as GitHub Copilot
JetBrains AI read as JetBrains AI Assistant
JetBrains AI Enterprise read as JetBrains AI Assistant
Replit read as Replit AI
Unresolved, counted raw
Amazon Q Developer, now evolving to Kiro
Anthropic Claude for Work / Claude Code
Anthropic's Claude Code for Enterprise
Antigravity
Bito
Claude for Enterprises
Code Llama
Consumer ChatGPT (Free/Plus)
Copilot access
Databricks Genie Code
Dell AI Code Assistant
GitHub Copilot for Business/Enterprise
GitLab Duo Agent Platform
Google offerings
IBM Bob
JetBrains AI Assistant with Junie
Kilo
Llama-3-Coder
Microsoft Copilot for GitHub
Mistral's coding stack
OpenAI GPT / ChatGPT consumer
Replit Agents
Replit's Ghostwriter
Discontinued, still offered
No shut-down product was recommended here.