Best CI/CD platforms (buyer asking for advice)

We asked 10 models: Our team wants automated builds, tests and deployments. Which CI/CD platform would you recommend? 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
90%
Same model, run twice
94%
Different picks
15

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

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
  3. Jenkins
  4. CircleCI
  5. Azure DevOps
  6. Buildkite
  7. Bitbucket Pipelines
  8. Argo CD
  9. TeamCity
  10. Travis CI

92% with consensus · 96% self-consistent

GPT-6 Luna

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

91% with consensus · 98% self-consistent

Gemini 4 Argon

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

95% with consensus · 98% self-consistent

Qwen 3.8 Flash

  1. GitHub Actions
  2. GitLab
  3. Jenkins
  4. CircleCI
  5. Azure DevOps
  6. AWS CodePipeline
  7. Buildkite
  8. Travis CI
  9. Argo CD
  10. Google Cloud Build

89% with consensus · 88% self-consistent

DeepSeek V4 Pro

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

93% with consensus · 94% self-consistent

GLM-5.3

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

92% with consensus · 95% self-consistent

Kimi K3

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

91% with consensus · 91% self-consistent

MiniMax M3

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

96% with consensus · 95% self-consistent

Mistral Large 4

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

93% with consensus · 94% self-consistent

Nemotron 3 Ultra

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

99% with consensus · 94% self-consistent

Who agrees with whom

Overlap between two models' lists, weighted toward the top · 100 means identical · Color runs from 84 (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 5.5969293879788899492
GPT-6 Luna969290879387889390
Gemini 4 Argon929287908987928995
Qwen 3.8 Flash939087849285879189
DeepSeek V4 Pro878790848885929095
GLM-5.3979389928890919592
Kimi K3888787858590909190
MiniMax M3898892879291909195
Mistral Large 4949389919095919193
Nemotron 3 Ultra929095899592909593