DeepInfra Google Gemma 7B
DeepInfra Google Gemma 7B is worth evaluating for classification and json / tool use when its provider route and context window match the workload.
Use it for
- Teams evaluating classification and json / tool use
- Workloads that can use a 8k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
Cheapest of 1 route · DeepInfra
About
DeepInfra Google Gemma 7B is Google DeepMind's Gemma model. It offers an 8K-token context window with weights openly available for self-hosting.
DeepInfra Google Gemma 7B is an open-weight model in the Gemma family. The structured metadata tracks a 8k-token context window and structured outputs. This page tracks provider routes through DeepInfra, with the cheapest tracked route listed at $0.05 input and $0.15 output per 1M tokens. No headline benchmark score is tracked for DeepInfra Google Gemma 7B yet.
Top use-case fit
Classification
Included by capability and metadata signals in the decision map.
JSON / Tool use
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| DeepInfra | $0.050 | $0.150 | Serverless |
Capabilities
Benchmark peer barsfor Classification
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
Cheapest of 1 route · DeepInfra