CI/CD platforms
Asked as “CI/CD platform”, and as “continuous integration and delivery tool”, on behalf of a mid-market B2B company. 56 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
68%
Clear leader
68GitHub Actions23GitLab CI/CD04CircleCI05others
68% of first choices, clear leader.
Since September 2026▼−2Since September 2026: 65% → 63%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.GitHub Actions held the lead, −2 points on 65%, 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 Actions75%Clear leader▼−17Since September 2026: 93% → 76%, −17 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →Mid-marketGitHub Actions68%Clear leader▼−2Since September 2026: 65% → 63%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageEnterprise
GitLab CI/CD42%Clear leader▼−1Since September 2026: 44% → 43%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →
GitHub Actions75%Clear leader▼−17Since September 2026: 93% → 76%, −17 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →Mid-marketGitHub Actions68%Clear leader▼−2Since September 2026: 65% → 63%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageEnterpriseGitLab CI/CD42%Clear leader▼−1Since September 2026: 44% → 43%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01GitHub Actions68%7%68endorsed leader▼−2Since September 2026: 65% → 63%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.65% → 63%
GitHub Actions68%7%68endorsed leader▼−2Since September 2026: 65% → 63%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.65% → 63%02GitLab CI/CD23%7%73accepted challenger=heldSince September 2026: 27% → 27%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.27% → 27%
GitLab CI/CD23%7%73accepted challenger=heldSince September 2026: 27% → 27%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.27% → 27%03
CircleCI4%19%64accepted challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 4%
CircleCI4%19%64accepted challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 4%04
Buildkite2%21%19accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Buildkite2%21%19accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%Show the six products at 0%, ordered by negative rate
10
Jenkins0%52%65criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Jenkins0%52%65criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%09
JetBrains TeamCity0%21%24accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
JetBrains TeamCity0%21%24accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%08
Harness0%17%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Harness0%17%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%06
Azure Pipelines0%11%19accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Azure Pipelines0%11%19accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%05
Azure DevOps0%5%22accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Azure DevOps0%5%22accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%07
Argo CD0%0%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Argo CD0%0%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.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 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
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.
All six head-to-head pages: the top four products, each against each
One product takes 68% of first choices here, so the chart would put nine 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. One product carries a negative rate above 25% in this category.
What they warned about
Seven of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Mistral Small, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX and MiniMax M2.5 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.
Jenkins52%
34 of 65 labels negative · 13 of 14 models · 11 hard negative
“"Jenkins is often described as a legacy platform with high maintenance overhead... the maintenance burden outweighs the benefits."” Muse Glimmer 30B, negative prompt
CircleCI19%
12 of 64 labels negative · 8 of 14 models
“most companies have migrated to GitHub Actions to avoid paying for two separate platform subscriptions” Gemini 3.5 Flash, direct prompt
Travis CI100%
9 of 9 labels negative · 6 of 14 models · 6 hard negative
“Jenkins and Travis CI are the ones to most strongly avoid for new projects in 2025.” DeepSeek V4 Flash, negative prompt
GitHub Actions7%
5 of 68 labels negative · 5 of 14 models
“GitHub Actions workflows that trust third-party actions or pull-request code too much” GPT-6 Luna, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
70 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. 875 links across 248 sites, every framing counted. Ranked by the number of answers carrying the site or page. 32 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.
38 answers · 51 citations · 12 models
vendor site · Atlassian24 answers · 27 citations · 8 models
23 answers · 30 citations · 11 models
vendor site · CircleCI22 answers · 27 citations · 12 models
18 answers · 26 citations · 8 models
18 answers · 18 citations · 8 models
vendor site · Harness17 answers · 22 citations · 8 models
vendor site · G217 answers · 17 citations · 9 models
vendor site · Northflank17 answers · 17 citations · 8 models
vendor site · DeployHQ15 answers · 16 citations · 8 models
14 answers · 15 citations · 7 models
14 answers · 14 citations · 6 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.
33 answers · 12 models
22 answers · 8 models
18 answers · 8 models
17 answers · 9 models
15 answers · 8 models
15 answers · 7 models
14 answers · 6 models
14 answers · 7 models
14 answers · 7 models
9 answers · 8 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 “best ci/cd platform”, “ci/cd platform”, “ci/cd platforms”. 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 parent site GitHub Actions 68% | 68% | 175 | 1,500,000 | 31,479 | ||||
| GitLab gitlab.com GitLab CI/CD 23% | 23% | 188 | 90,500 | 4,844 | 603,028 company | $884 | 66 | 5 |
| CircleCI circleci.com | 4% | 151 | 4,400 | 207 | 133,932 | 24 | ||
| Buildkite buildkite.com | 2% | 57 | 3,600 | 98 | 3,563 | $477 | 0 | |
| Semaphore semaphore.io | 2% | 11 | 33,100 | 1,294 | 12,064 | 2 | ||
| Podman podman.io | 2% | 2 | ||||||
| Azure parent site Azure DevOps 0%, Azure Pipelines 0% | 0% | 138 | 301,000 | 47,904 | ||||
| Argo argoproj.io Argo CD 0%, Argo Workflows 0% | 0% | 49 | 3,600 | 240 | 182 company | |||
| Harness harness.io | 0% | 75 | 60,500 | 55,100 | 86,302 | 6 | 1 | |
| JetBrains TeamCity jetbrains.com | 0% | 56 | 140 | 7 | 485,270 | 120 | 2 |
Google's top ten for the three searches hold 16 sites; 4 of them are among the sites the models cited here (atlassian.com, blog.jetbrains.com, harness.io, octopus.com). The first result for “best ci/cd platform” is reddit.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 CI/CD platform for a mid-market B2B company?”Paraphrase“Which continuous integration and delivery tool would you recommend to a mid-sized B2B company?”Comparative“What are the top CI/CD platforms and how do they differ?”Budget-constrained“What is the best CI/CD platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a CI/CD platform. What should we look at?”Negative“Which CI/CD platforms should I avoid or be cautious about?”
Claude Haiku 4.5no first choiceGitHub ActionsChangedno first choiceGitHub Actionsno first choiceagainst: Jenkins, JetBrains TeamCity
Four alternatives
AWS CodePipeline, CircleCI, GitLab CI/CD, JenkinsTwo alternatives
GitLab CI/CD, JenkinsGPT-5.4 miniGitHub ActionsGitHub ActionsHeldGitHub ActionsGitHub Actionsagainst: CircleCI, Jenkinsno first choiceagainst: Jenkins
Two alternatives
Azure Pipelines, CircleCITwo alternatives
CircleCI, GitLab CI/CDFive alternatives
Azure Pipelines, Bitbucket Pipelines, CircleCI, GitLab CI/CD, JenkinsOne alternative
GitLab CI/CDGemini 3.5 FlashGitHub Actionsagainst: CircleCI, JenkinsGitHub ActionsHeldagainst: Harness, JenkinsGitHub Actionsagainst: AWS CodePipelineGitHub Actionsagainst: JenkinsGitHub Actions, GitLab CI/CDagainst: Jenkinsagainst: AWS CodePipeline, CircleCI, Drone CI, GCP Cloud Build, Jenkins, JetBrains TeamCity, Travis CI, Woodpecker
Three alternatives
Argo CD, GitLab CI/CD, HarnessTwo alternatives
Argo CD, GitLab CI/CDFive alternatives
Argo CD, CircleCI, GitLab CI/CD, Jenkins, SemaphoreThree alternatives
CircleCI, GitLab CI/CD, Woodpecker CIThree alternatives
Argo CD, Harness, Octopus DeployPerplexity SonarGitLab CI/CDagainst: Harness, JenkinsGitLab CI/CDHeldGitHub ActionsGitHub Actionsagainst: Jenkinsno first choiceagainst: Jenkins, Spinnaker
One alternative
GitHub ActionsOne alternative
JetBrains TeamCityFive alternatives
Argo CD, Azure DevOps, GitLab CI/CD, Harness, JenkinsTwo alternatives
CircleCI, GitLab CI/CDGrok 4.1 FastGitHub Actionsagainst: JenkinsGitHub ActionsHeldagainst: JenkinsGitHub Actionsagainst: Travis CIGitHub Actionsagainst: Atlassian Bamboo, Travis CIGitHub Actions, GitLab CI/CDagainst: Jenkinsagainst: Azure Pipelines, CircleCI, GitHub Actions, GitLab CI/CD, Jenkins, Travis CI
Two alternatives
CircleCI, GitLab CI/CDThree alternatives
Azure DevOps, CircleCI, GitLab CI/CDFive alternatives
AWS CodePipeline, Azure DevOps, CircleCI, GitLab CI/CD, JenkinsOne alternative
GitLab CI/CDThree alternatives
CircleCI, Harness, JetBrains TeamCityMistral SmallCircleCI, GitLab CI/CDBuildkite, GitLab CI/CDChangedGitHub Actions, GitLab CI/CDCircleCI, GitHub Actionsno first choiceagainst: Atlassian Bamboo, Jenkins, JetBrains TeamCity, Travis CI
Two alternatives
Buildkite, JetBrains TeamCityTwo alternatives
CircleCI, JenkinsFive alternatives
AWS CodePipeline, Argo CD, Azure Pipelines, Harness, JenkinsOne alternative
JenkinsDeepSeek V4 FlashGitHub Actionsagainst: JenkinsGitHub ActionsHeldagainst: Azure DevOps, Buildkite, CircleCI, JenkinsGitHub Actionsagainst: Travis CIGitHub Actionsagainst: Bitbucket Pipelines, Buildkite, Jenkins, SemaphoreGitHub Actions, GitLab CI/CDagainst: CircleCI, Jenkinsagainst: CircleCI, GitHub Actions, GitLab CI/CD, Jenkins, Travis CI
One alternative
GitLab CI/CDOne alternative
GitLab CI/CDFive alternatives
AWS CodePipeline, Azure Pipelines, CircleCI, GitLab CI/CD, JenkinsOne alternative
GitLab CI/CDTwo alternatives
Buildkite, HarnessLlama 4 Maverickno first choiceGitLab CI/CDChangedno first choiceGitHub Actions, Podman, Semaphoreno first choicenothing named
Two alternatives
JetBrains TeamCity, LaunchDarklyQwen 3.7 FlashGitHub Actionsagainst: JenkinsGitLab CI/CDChangedGitHub ActionsGitHub Actionsno first choiceagainst: Atlassian Bamboo, Bitbucket Pipelines, GitHub Actions, GitLab CI/CD, Jenkins, Travis CI
One alternative
GitLab CI/CDTwo alternatives
CircleCI, GitHub ActionsFour alternatives
Azure DevOps, CircleCI, GitLab CI/CD, JenkinsTwo alternatives
CircleCI, GitLab CI/CDTwo alternatives
GitLab CI/CD, JenkinsKimi K2GitHub ActionsGitLab CI/CDChangedagainst: JenkinsGitHub Actions, GitLab CI/CDGitHub Actions, GitLab CI/CDagainst: CircleCIGitHub Actionsagainst: Jenkinsagainst: GitHub Actions, Jenkins, Travis CI
Two alternatives
CircleCI, GitLab CI/CDThree alternatives
Azure DevOps, CircleCI, GitHub ActionsFive alternatives
AWS CodePipeline, Azure Pipelines, CircleCI, Google Cloud Build, JenkinsOne alternative
JenkinsThree alternatives
Azure DevOps, CircleCI, GitLab CI/CDGLM 4.7 FlashXGitHub Actionsagainst: JenkinsGitHub Actions, GitLab CI/CDChangedGitHub ActionsGitHub Actionsagainst: Jenkinsno first choiceagainst: Buildkite, GitHub Actions Marketplace Actions, Jenkins, JetBrains TeamCity, Spinnaker
Three alternatives
Azure Pipelines, CircleCI, GitLab CI/CDNine alternatives
AWS CodePipeline, Argo CD, Azure Pipelines, Bitbucket Pipelines, CircleCI, GitLab CI/CD, Google Cloud Build, Jenkins, SpinnakerTwo alternatives
CircleCI, GitLab CI/CDMiniMax M2.5GitHub ActionsGitLab CI/CDChangedno first choiceGitHub ActionsGitHub Actionsagainst: CircleCIagainst: Jenkins
Two alternatives
CircleCI, GitLab CI/CDThree alternatives
Azure DevOps, CircleCI, JenkinsFive alternatives
Azure Pipelines, CircleCI, GitHub Actions, GitLab CI/CD, JenkinsTwo alternatives
GitLab CI/CD, JenkinsThree alternatives
Buildkite, GitLab CI/CD, JenkinsGPT-6 LunaGitHub ActionsGitHub ActionsHeldagainst: BuildkiteGitHub ActionsGitHub Actionsagainst: Jenkinsno first choiceagainst: Azure Pipelines, CircleCI, GitHub Actions, GitLab CI/CD, Jenkins
Three alternatives
Buildkite, CircleCI, GitLab CI/CDTwo alternatives
Azure Pipelines, GitLab CI/CDSix alternatives
Azure Pipelines, Bitbucket Pipelines, Buildkite, CircleCI, GitLab CI/CD, JenkinsOne alternative
GitLab CI/CDMuse Glimmer 30BGitHub Actionsagainst: CircleCIGitHub ActionsHeldagainst: JenkinsGitHub ActionsGitHub ActionsGitHub Actionsagainst: Atlassian Bamboo, CircleCI, GitHub, GitLab CI/CD, Jenkins, JetBrains TeamCity, Travis C.I.
One alternative
GitLab CI/CDOne alternative
GitLab CI/CDEight alternatives
Argo CD, Azure DevOps, Azure Pipelines, Buildkite, CircleCI, Flux, GitLab CI/CD, JenkinsSix alternatives
CircleCI, DeployHQ, Drone CI, GitLab CI/CD, Jenkins, TektonTwo alternatives
GitLab CI/CD, JenkinsBold 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. Full answer text is in the free responses file. Download the record
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 | 2026-10-01 09:46 | no | 0 | 4 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:14 | yes | 3 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:09 | yes | 9 | 24 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:12 | yes | 20 | 5 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:56 | yes | 16 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:27 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:53 | yes | 20 | 18 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:11 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:39 | no | 0 | 31 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:58 | yes | 24 | 22 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:17 | yes | 24 | 91 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:15 | yes | 21 | 61 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:42 | yes | 4 | 14 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:51 | yes | 21 | 22 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:35 | no | 0 | 5 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:20 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:08 | no | 0 | 14 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 11:32 | yes | 18 | 4 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:58 | yes | 18 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:06 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:49 | yes | 22 | 23 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:26 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:25 | yes | 5 | 31 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:14 | yes | 20 | 24 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:43 | no | 0 | 23 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:24 | yes | 5 | 37 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:40 | yes | 4 | 14 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:08 | yes | 13 | 18 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:22 | yes | 10 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:21 | yes | 4 | 10 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:14 | yes | 6 | 21 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 09:34 | yes | 18 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:25 | yes | 15 | 6 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:14 | yes | 15 | 14 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:28 | yes | 23 | 39 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:43 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:57 | no | 0 | 37 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:32 | yes | 15 | 35 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:32 | yes | 10 | 92 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:36 | yes | 10 | 17 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:04 | yes | 7 | 14 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:56 | yes | 13 | 20 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:17 | yes | 9 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:26 | no | 0 | 3 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:46 | yes | 5 | 22 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 12:31 | yes | 18 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:34 | yes | 19 | 6 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:16 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:45 | yes | 20 | 28 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:49 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:42 | yes | 15 | 42 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:35 | yes | 10 | 18 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:33 | yes | 14 | 39 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:37 | no | 0 | 8 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:56 | yes | 4 | 12 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:58 | yes | 11 | 23 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:57 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:55 | no | 0 | 9 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:16 | no | 0 | 18 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 08:53 | yes | 17 | 4 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:16 | yes | 14 | 7 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:05 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:43 | yes | 19 | 30 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:58 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:25 | no | 0 | 29 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:04 | yes | 24 | 36 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:27 | yes | 14 | 21 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:25 | yes | 5 | 20 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:31 | yes | 4 | 15 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:40 | yes | 12 | 21 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:13 | yes | 19 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:50 | yes | 3 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:56 | yes | 13 | 21 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 09:52 | yes | 16 | 6 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:26 | yes | 22 | 7 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:11 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:44 | yes | 25 | 40 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:09 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:08 | no | 0 | 37 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:44 | yes | 25 | 24 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:47 | yes | 24 | 34 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:18 | yes | 9 | 27 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:44 | yes | 4 | 16 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:47 | yes | 15 | 58 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
Drone read as Drone CI
GitLab read as GitLab CI/CD
GitLab CI read as GitLab CI/CD
GitLab Community Edition (CE) read as GitLab CI/CD
GitLab Premium read as GitLab CI/CD
Unresolved, counted raw
Cloudflare Pages + Workers
Earthly
GitHub Actions Marketplace Actions
Gitea with Drone
Travis
Travis C.I.
Discontinued, still offered
No shut-down product was recommended here.