Gemini Deep Research
gemini-deep-research
Last refreshed 2026-05-11. Next refresh: weekly.
Gemini Deep Research is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.
Decision context: RAG task fit, 1 tracked provider route, and research from 2026-04-19.
Use it for
- Teams evaluating rag, agents, and long context
- Workloads that can use a 128K context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
Cheapest output
-
Google AI Studio per 1M tokens
Provider routes
1
Tracked API hosts
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-04-19
Researched 29d ago
Top use-case fit
RAG
Included by capability and metadata signals in the decision map.
Agents
Included by capability and metadata signals in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Google AI Studio | - | - | ServerlessPartial |
Benchmark peer barsfor RAG
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
About
Google Gemini deep research model for comprehensive long-form analysis.
Gemini Deep Research has a 128K-token context window.
