Gemma 3 27B PT
gemma-3-27b-pt
Last refreshed 2026-05-19. Next refresh: weekly.
Gemma 3 27B PT is worth evaluating for rag, long context, and classification when its provider route and context window match the workload.
Decision context: RAG task fit, 1 tracked provider route, and research from 2026-05-19.
Use it for
- Teams evaluating rag, long context, and classification
- 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
$0.380
AWS Bedrock per 1M tokens
Provider routes
1
Tracked API hosts
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-05-19
Researched 2d ago
Top use-case fit
RAG
Included by capability and metadata signals in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Classification
Included by capability and metadata signals in the decision map.
Provider price ladder
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| AWS Bedrock | $0.230 | $0.380 | Serverless |
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
Gemma 3 27B PT is Google DeepMind's Gemma 3 model. Its knowledge cutoff is 2024-08.
Gemma 3 27B PT has a 128K-token context window.
Gemma 3 27B PT input tokens at $0.23/1M, output at $0.38/1M.
