Sweep vs Tabnine: 2026 comparison
GitHub-native agent that turns issues into reviewed pull requests.
Sweep vs Tabnine — specs
| Spec | Sweep | Tabnine |
|---|---|---|
| Agent Rank | 58 / 100 (B) | 70 / 100 (B) |
| Autonomy | Autonomous | Assistant |
| Pricing | Freemium · from $30 | Freemium · from $9 |
| Open source | Yes | No |
| Capabilities | Code, Tool use, Memory | Code, Tool use, Memory |
| Integrations | 1 apps | 4 apps |
| Verified | — | Verified |
| Released | Mar 2025 | Jan 2025 |
Agent Rank breakdown
- Autonomy fit
- 9
- Capabilities
- 6
- Integrations
- 2
- Pricing value
- 7
- Polish & maturity
- 5
- Verifiability
- 6
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
- Autonomy fit
- 7
- Capabilities
- 6
- Integrations
- 4
- Pricing value
- 8
- Polish & maturity
- 7
- Verifiability
- 10
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
Pros & cons
- +Issue-to-PR turnaround in minutes for well-described bugs
- +GitHub-native — authenticates as a GitHub App, no extension needed
- +Great on TypeScript / Python / Go codebases with reasonable test coverage
- −Struggles when issues are vague or codebase is messy
- −No interactive mode — you describe, it ships
- −Less effective on closed languages or proprietary frameworks
- +Strongest privacy story in the coding-agent category — fully self-hostable
- +Models can be fine-tuned on your private codebase without sending data out
- +Long history of enterprise deployments in regulated industries
- −Capability gap vs frontier models in chat/agent quality
- −Less polished UX than Cursor or GitHub Copilot
- −Per-seat pricing at Enterprise is high vs alternatives
Pricing
- +Up to 5 issue-to-PR runs/month
- +Public repos only
- +Unlimited runs
- +Private repos
- +Configurable rules
- +Self-hosted option
- +SAML SSO
- +Dedicated support
- +AI completions
- +Chat agent
- +Privacy mode
- +Self-hosted
- +Air-gapped option
- +Custom-trained models on your code
Which one should you pick?
Pick Sweep if you want the highest autonomy and the verification loop is in place or if auditability or self-hosting matters.
Try Sweep →Pick Tabnine if cost is the main constraint or if your stack spans many tools and integration depth is the constraint.
Try Tabnine →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Sweep or Tabnine in 2026?+
Pick Sweep if you want the highest autonomy and the verification loop is in place or if auditability or self-hosting matters. Pick Tabnine if cost is the main constraint or if your stack spans many tools and integration depth is the constraint. Most working teams running both can use Sweep for primary work and Tabnine for the workflows where its specific strengths matter.
What's the price difference between Sweep and Tabnine?+
Sweep starts at Freemium · from $30; Tabnine starts at Freemium · from $9. Tabnine is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.
Which is more autonomous, Sweep or Tabnine?+
Sweep is the more autonomous of the two (Autonomous vs Assistant). Higher autonomy ships throughput faster but requires verification loops in place — see our autonomous-vs-copilot framing for when each tier wins.