Best CI/CD platforms (search query)

We asked 10 models: best ci/cd platform Each named its own top 10.

Asked 4 ways: List request · Buyer asking for advice · Search query · Worth paying for?. Share of voice pools every wording.

Agreement between models
89%
Same model, run twice
94%
Different picks
14

When agreement between models is well below a model's agreement with itself, the split reflects real differences in taste rather than randomness.

The consensus

Each cell is the position that model gave the pick; blank means it left the pick off. Click a row for each model's reasoning.

#PickScoreListed byClaude Haiku 5.5GPT-6 LunaGemini 4 ArgonQwen 3.8 FlashDeepSeek V4 ProGLM-5.3Kimi K3MiniMax M3Mistral Large 4Nemotron 3 Ultra

Most divisive

Picks most models listed, at very different positions

Hot takes

Picks that appear on only one ballot

No pick appeared on just one ballot.

Every ballot

Hover a pick to find it on the other ballots. Marked picks appear on no other ballot.

Claude Haiku 5.5

  1. GitHub Actions
  2. GitLab CI/CD
  3. CircleCI
  4. Jenkins
  5. Buildkite
  6. Azure DevOps
  7. Bitbucket Pipelines
  8. Harness
  9. Travis CI
  10. Argo CD

95% with consensus · 95% self-consistent

GPT-6 Luna

  1. GitHub Actions
  2. GitLab CI/CD
  3. CircleCI
  4. Jenkins
  5. Buildkite
  6. Azure DevOps
  7. Bitbucket Pipelines
  8. TeamCity
  9. Harness
  10. Drone

94% with consensus · 94% self-consistent

Gemini 4 Argon

  1. GitHub Actions
  2. GitLab CI/CD
  3. CircleCI
  4. Jenkins
  5. Buildkite
  6. Harness
  7. Azure DevOps
  8. Bitbucket Pipelines
  9. TeamCity
  10. Argo CD

92% with consensus · 95% self-consistent

Qwen 3.8 Flash

  1. GitHub Actions
  2. GitLab CI/CD
  3. Jenkins
  4. CircleCI
  5. Azure DevOps
  6. Buildkite
  7. Travis CI
  8. Bitbucket Pipelines
  9. Bamboo
  10. Argo CD

91% with consensus · 90% self-consistent

DeepSeek V4 Pro

  1. GitHub Actions
  2. GitLab CI/CD
  3. CircleCI
  4. Jenkins
  5. Bitbucket Pipelines
  6. Azure DevOps
  7. Harness
  8. Argo CD
  9. Travis CI
  10. AWS CodePipeline

93% with consensus · 94% self-consistent

GLM-5.3

  1. GitHub Actions
  2. GitLab CI/CD
  3. Jenkins
  4. CircleCI
  5. Azure DevOps
  6. Argo CD
  7. Bitbucket Pipelines
  8. Harness
  9. Buildkite
  10. Bamboo

89% with consensus · 94% self-consistent

Kimi K3

  1. GitHub Actions
  2. GitLab CI/CD
  3. Azure DevOps
  4. CircleCI
  5. Jenkins
  6. Travis CI
  7. TeamCity
  8. Bitbucket Pipelines
  9. Buildkite
  10. Bamboo

87% with consensus · 89% self-consistent

MiniMax M3

  1. GitHub Actions
  2. GitLab CI/CD
  3. CircleCI
  4. Jenkins
  5. Azure DevOps
  6. Bitbucket Pipelines
  7. Drone
  8. Buildkite
  9. TeamCity
  10. AWS CodePipeline

95% with consensus · 97% self-consistent

Mistral Large 4

  1. GitHub Actions
  2. GitLab CI/CD
  3. Jenkins
  4. CircleCI
  5. Azure DevOps
  6. Bitbucket Pipelines
  7. TeamCity
  8. Travis CI
  9. Buildkite
  10. Harness

93% with consensus · 98% self-consistent

Nemotron 3 Ultra

  1. GitHub Actions
  2. GitLab CI/CD
  3. CircleCI
  4. Jenkins
  5. Bitbucket Pipelines
  6. Azure DevOps
  7. Buildkite
  8. Travis CI
  9. TeamCity
  10. Drone

97% with consensus · 98% self-consistent

Who agrees with whom

Overlap between two models' lists, weighted toward the top · 100 means identical · Color runs from 82 (lightest) to 97 (darkest)

Claude Haiku 5.5GPT-6 LunaGemini 4 ArgonQwen 3.8 FlashDeepSeek V4 ProGLM-5.3Kimi K3MiniMax M3Mistral Large 4Nemotron 3 Ultra
Claude Haiku 5.5979690938983918894
GPT-6 Luna979689908784938994
Gemini 4 Argon969688908682908591
Qwen 3.8 Flash908988869288889389
DeepSeek V4 Pro939090868982918894
GLM-5.3898786928985889386
Kimi K3838482888285869086
MiniMax M3919390889188869195
Mistral Large 4888985938893909191
Nemotron 3 Ultra949491899486869591