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title: GitLab Orbit is GA: Higher agent accuracy, lower token cost
description: GitLab Orbit, a context graph for the software lifecycle, is now generally available. It connects code, merge requests, pipelines, vulnerabilities, and...
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# GitLab Orbit is GA: Higher agent accuracy, lower token cost

**[GitLab](https://daily.dev/sources/gitlab)** · 10 min read · 0 upvotes · 0 comments

## Summary

GitLab Orbit, a context graph for the software lifecycle, is now generally available. It connects code, merge requests, pipelines, vulnerabilities, and ownership into one queryable, permissions-aware graph for agents and engineers. In GitLab's own testing, agents connected to Orbit needed up to 45x fewer retries and used 4.5x fewer tokens on identical tasks with the same model. Compare the Market tested an Orbit-grounded AI code reviewer against RAG across 79 real merge requests: it matched about 70% of expected inline comments versus 58% for RAG. Query packs cost $30 in GitLab Credits per user per month for 1,000 queries, with overage at about $0.03 per query. It's rolling out first to GitLab.com for Premium and Ultimate customers.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://about.gitlab.com/blog/gitlab-orbit-ga>

## Questions this post answers

### How much does GitLab Orbit cost per user?

GitLab Orbit is sold as query packs priced at $30 in GitLab Credits per user per month, each adding 1,000 queries to a shared organizational pool. Usage beyond the pool is billed at 33 queries per GitLab Credit, roughly $0.03 per query. Humans and agents draw from the same shared pool without individual seat assignments. Promotional pricing is available for early customers during the current quarter.

_Teams budgeting for AI agent tooling can compare pricing models like this one on daily.dev._

### How does GitLab Orbit reduce token usage for AI coding agents like Claude Code?

GitLab Orbit gives agents one bounded answer from a live context graph instead of forcing them to reload and guess at context across files. In GitLab's testing, agents connected to Orbit used up to 4.5x fewer tokens and needed up to 45x fewer retries on identical tasks with the same model, because the graph already contains callers, recent changes, pipelines, and ownership data.

_Developers tuning agent costs can track architecture changes like context graphs on daily.dev._

### Is GitLab Orbit's AI code review more accurate than a RAG-based approach?

Yes, in testing by Compare the Market across 79 real merge requests, an AI code reviewer grounded in GitLab Orbit matched about 70% of expected inline comments, compared to about 58% for a RAG-based approach, which performed worse than no added context at all. The Orbit-based reviewer also flagged more real issues in the correct locations.

_Teams comparing RAG versus graph-grounded review tools can follow benchmarks like this on daily.dev._

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#mcp](https://daily.dev/tags/mcp), [#gitlab](https://daily.dev/tags/gitlab), [#devsecops](https://daily.dev/tags/devsecops)

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