Best CI/CD platforms

We asked 10 models: The best CI/CD platforms for software teams. 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
86%
Same model, run twice
92%
Different picks
19

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

4 lower-scoring picks are not shown; every ballot below lists them in full.

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. CircleCI
  4. Jenkins
  5. Buildkite
  6. Azure Pipelines
  7. Bitbucket Pipelines
  8. Argo CD
  9. Google Cloud Build
  10. Travis CI

94% with consensus · 97% self-consistent

GPT-6 Luna

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

90% with consensus · 94% self-consistent

Gemini 4 Argon

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

90% with consensus · 94% self-consistent

Qwen 3.8 Flash

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

89% with consensus · 86% self-consistent

DeepSeek V4 Pro

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

91% 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. Azure Pipelines
  9. Buildkite
  10. Bitrise

85% with consensus · 87% self-consistent

Kimi K3

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

97% with consensus · 90% self-consistent

MiniMax M3

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

94% with consensus · 90% self-consistent

Mistral Large 4

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

84% with consensus · 96% self-consistent

Nemotron 3 Ultra

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

96% with consensus · 89% self-consistent

Who agrees with whom

Overlap between two models' lists, weighted toward the top · 100 means identical · Color runs from 77 (lightest) to 96 (darkest)

Claude Haiku 5.5GPT-6 LunaGemini 4 ArgonQwen 3.8 FlashDeepSeek V4 ProGLM-5.3Kimi K3MiniMax M3Mistral Large 4Nemotron 3 Ultra
Claude Haiku 5.5929287888692928096
GPT-6 Luna929090858890898693
Gemini 4 Argon929085867991887792
Qwen 3.8 Flash879085848689838586
DeepSeek V4 Pro888586848588928589
GLM-5.3868879868582869283
Kimi K3929091898882918394
MiniMax M3928988839286918393
Mistral Large 4808677858592838382
Nemotron 3 Ultra969392868983949382