Best CI/CD platforms (worth paying for?)
We asked 10 models: Which CI/CD platforms are actually worth paying for?
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
- 80%
- Same model, run twice
- 87%
- Different picks
- 25
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.
| # | Pick | Score | Listed by | Claude Haiku 5.5 | GPT-6 Luna | Gemini 4 Argon | Qwen 3.8 Flash | DeepSeek V4 Pro | GLM-5.3 | Kimi K3 | MiniMax M3 | Mistral Large 4 | Nemotron 3 Ultra |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | GitHub Actions | 10/10 | 1 | 1 | 1 | 1 | 1 | 3 | 1 | 1 | 1 | 1 | |
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| 2 | GitLab | 10/10 | 2 | 3 | 2 | 2 | 2 | 1 | 2 | 2 | 2 | 2 | |
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| 3 | CircleCI | 10/10 | 3 | 4 | 4 | 3 | 3 | 2 | 3 | 3 | 3 | 3 | |
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| 4 | Buildkite | 10/10 | 4 | 2 | 3 | 4 | 5 | 6 | 4 | 5 | 4 | 4 | |
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| 5 | Jenkins | 9/10 | 5 | 7 | 5 | 4 | 4 | 6 | 4 | 5 | 7 | ||
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| 6 | Harness | 6/10 | 6 | 6 | 5 | 6 | 6 | 8 | |||||
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| 7 | Azure Pipelines | 5/10 | 7 | 5 | 6 | 5 | 8 | ||||||
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| 8 | TeamCity | 6/10 | 9 | 8 | 7 | 7 | 7 | 7 | |||||
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| 9 | Bitbucket Pipelines | 8/10 | 8 | 10 | 7 | 9 | 9 | 7 | 9 | 9 | |||
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| 10 | Azure DevOps | 3/10 | 9 | 5 | 6 | ||||||||
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| 11 | Travis CI | 5/10 | 9 | 8 | 8 | 10 | 10 | ||||||
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| 12 | Semaphore | 2/10 | 7 | 6 | |||||||||
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| 13 | Bitrise | 2/10 | 10 | 5 | |||||||||
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| 14 | Drone | 1/10 | 6 | ||||||||||
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| 15 | AWS CodePipeline | 2/10 | 10 | 8 | |||||||||
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10 lower-scoring picks are not shown; every ballot below lists them in full.
Most divisive
Picks most models listed, at very different positions
- Buildkite#2 for GPT-6 Luna #6 for GLM-5.3
- Jenkins#4 for DeepSeek V4 Pro #7 for Nemotron 3 Ultra
- Harness#5 for Gemini 4 Argon #8 for Mistral Large 4
Hot takes
Picks that appear on only one ballot
- Drone at #6, only MiniMax M3
- Spacelift at #8, only Gemini 4 Argon
- GitHub Enterprise Cloud at #8, only GLM-5.3
- Codefresh at #8, only Nemotron 3 Ultra
- CloudBees CI at #9, only GPT-6 Luna
- Dagger at #9, only Gemini 4 Argon
- Octopus Deploy at #10, only DeepSeek V4 Pro
- Jenkins X at #10, only GLM-5.3
- Bamboo at #10, only Kimi K3
- Argo CD at #10, only MiniMax M3
Every ballot
Hover a pick to find it on the other ballots. Marked picks appear on no other ballot.
Claude Haiku 5.5
- GitHub Actions
- GitLab
- CircleCI
- Buildkite
- Jenkins
- Harness
- Azure Pipelines
- Bitbucket Pipelines
- TeamCity
- AWS CodePipeline
GPT-6 Luna
- GitHub Actions
- Buildkite
- GitLab
- CircleCI
- Azure Pipelines
- Harness
- Jenkins
- TeamCity
- CloudBees CI
- Bitbucket Pipelines
Gemini 4 Argon
- GitHub Actions
- GitLab
- Buildkite
- CircleCI
- Harness
- Azure Pipelines
- TeamCity
- Spacelift
- Dagger
- Bitrise
Qwen 3.8 Flash
- GitHub Actions
- GitLab
- CircleCI
- Buildkite
- Jenkins
- Harness
- Semaphore
- AWS CodePipeline
- Travis CI
- Spinnaker
DeepSeek V4 Pro
- GitHub Actions
- GitLab
- CircleCI
- Jenkins
- Buildkite
- Harness
- Bitbucket Pipelines
- Travis CI
- Azure DevOps
- Octopus Deploy
GLM-5.3
- GitLab
- CircleCI
- GitHub Actions
- Jenkins
- Azure Pipelines
- Buildkite
- TeamCity
- GitHub Enterprise Cloud
- Bitbucket Pipelines
- Jenkins X
Kimi K3
- GitHub Actions
- GitLab
- CircleCI
- Buildkite
- Azure DevOps
- Jenkins
- TeamCity
- Travis CI
- Bitbucket Pipelines
- Bamboo
MiniMax M3
- GitHub Actions
- GitLab
- CircleCI
- Jenkins
- Buildkite
- Drone
- Bitbucket Pipelines
- Azure Pipelines
- Spinnaker
- Argo CD
Mistral Large 4
- GitHub Actions
- GitLab
- CircleCI
- Buildkite
- Jenkins
- Azure DevOps
- TeamCity
- Harness
- Bitbucket Pipelines
- Travis CI
Nemotron 3 Ultra
- GitHub Actions
- GitLab
- CircleCI
- Buildkite
- Bitrise
- Semaphore
- Jenkins
- Codefresh
- Bitbucket Pipelines
- Travis CI
Who agrees with whom
Overlap between two models' lists, weighted toward the top · 100 means identical · Color runs from 56 (lightest) to 96 (darkest)
| Claude Haiku 5.5 | GPT-6 Luna | Gemini 4 Argon | Qwen 3.8 Flash | DeepSeek V4 Pro | GLM-5.3 | Kimi K3 | MiniMax M3 | Mistral Large 4 | Nemotron 3 Ultra | |
|---|---|---|---|---|---|---|---|---|---|---|
| Claude Haiku 5.5 | 83 | 86 | 93 | 92 | 67 | 88 | 89 | 92 | 85 | |
| GPT-6 Luna | 83 | 86 | 78 | 76 | 56 | 76 | 73 | 78 | 74 | |
| Gemini 4 Argon | 86 | 86 | 81 | 79 | 58 | 80 | 76 | 82 | 77 | |
| Qwen 3.8 Flash | 93 | 78 | 81 | 91 | 60 | 87 | 85 | 90 | 88 | |
| DeepSeek V4 Pro | 92 | 76 | 79 | 91 | 65 | 88 | 91 | 90 | 83 | |
| GLM-5.3 | 67 | 56 | 58 | 60 | 65 | 63 | 67 | 65 | 58 | |
| Kimi K3 | 88 | 76 | 80 | 87 | 88 | 63 | 84 | 96 | 86 | |
| MiniMax M3 | 89 | 73 | 76 | 85 | 91 | 67 | 84 | 86 | 83 | |
| Mistral Large 4 | 92 | 78 | 82 | 90 | 90 | 65 | 96 | 86 | 86 | |
| Nemotron 3 Ultra | 85 | 74 | 77 | 88 | 83 | 58 | 86 | 83 | 86 |