Simple pricing that scales with your usage
GitMe offers flexible, usage-based pricing designed for modern engineering teams. Start free, then pay only for the AI analysis tokens you use. Get your Free Initial Budgets according to your team size.
- Token-based AI analysis tiers
- Multiple model options (Essential, Advanced, Ultimate)
- Ultimate plan for Enterprise with On-Prem, SSO, and KMS
Gitme‑DevAI models for commit‑level analysis
We process your repository commit by commit. Pricing applies per token (input & output) during analysis.
Effort Score
Commit Categorization
AI Effort Share
AI Insights
Retention Analytics
| Model | Input | Output | Model Tier | Includes |
|---|---|---|---|---|
| Gitme‑DevAI-S Essential | $6.99 / 1M | $9.99 / 1M | Baseline | Effort Score, Categorization |
| Gitme‑DevAI-L Advanced | $9.99 / 1M | $14.99 / 1M | Enhanced | Effort Score, Categorization, AI Effort Share Recommended |
| Gitme‑DevAI-XL Ultimate | $14.99 / 1M | $19.99 / 1M | State-of-The-Art | Effort Score, Categorization, AI Effort Share, AI Insights, Retention |
Measures the Real Effort Value of each commit using structured diff analysis and AI-powered heuristics, reflecting the standardized time required for the work.
- Normalizes work across complexity, context, file types, commit sizes, and repositories with AI.
- Highlights high-leverage effort so teams can rebalance workloads.
Maps the measured effort to a normalized taxonomy (feature, bugfix, refactor, test, docs, config, data, etc.), revealing where energy is actually spent.
- Automatically tags every commit across product, quality, and operations streams.
- Empowers leaders to filter analytics by initiative and quantify investment.
Estimates what fraction of newly authored code was likely produced with AI assistance, using linguistic and temporal signals to illuminate adoption.
- Detects AI-generated work patterns across repositories and teams.
- Helps you set policy guardrails and benchmark responsible AI usage.
Delivers a comprehensive view of engineering performance at individual and organizational levels. Tracks developer productivity, sustainability, and AI adoption while surfacing recommended actions.
- Combines granular developer analytics with executive-ready summaries.
- Identifies focus areas to boost resilience, balance workloads, and scale impact.
Provides insights into efficiency, sustainability, and continuity over time at developer, project, and team levels.
- Monitors how long code survives in production to expose risky churn.
- Surfaces fragile hotspots so you can intervene before customer impact.