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Build, deploy, and scale enterprise AI agents on Google Cloud
Pros
- No flat fee — pay only for usage
- Enterprise-grade Google Cloud infra
- Broad model choice via Model Garden
- Generous free quotas to start
Cons
- Multi-dimensional pricing is complex
- Model tokens often the largest cost
- Requires Google Cloud familiarity
✓ Where it shines / best for
- Google Cloud enterprises
- Production agents at scale
- Teams needing model flexibility
✕ Not the best fit for
- No-code business users
- Simple low-volume bots
- Those wanting fixed predictable bills
Features
- ✓ Agent Engine managed runtime
- ✓ Vertex AI Search/grounding
- ✓ Session and memory storage
- ✓ Model Garden (Gemini, Claude on Vertex, etc.)
- ✓ Pure usage-based pricing
- ✓ Free tier quotas
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Free Tier | $0 | 50 vCPU-hrs + 100 GB-hrs/mo; up to 10 agent engines, 90 days | |
| Usage-based | Pay-per-use | $0.0864/vCPU-hr, $0.0090/GB-hr, $0.25/1,000 session events, Search $1.50-$6.00/1,000 queries | |
| Model tokens | Varies | Gemini 3 Pro / Claude on Vertex priced separately per token |
Pricing verified from the official source. Prices change often — confirm on the vendor's site before buying.
Specifications
| models | Gemini, Claude, Model Garden |
| vcpu_rate | $0.0864/vCPU-hr (since Dec 16 2025) |
| pricing_model | Pure usage-based |
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A full review is being generated for this product and will appear here shortly.