Last refreshed 2026-05-01. Next refresh: weekly.
Why use CodeGemma 1.1 7B on NVIDIA NIM?
NVIDIA NIM offers CodeGemma 1.1 7B with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Compare CodeGemma 1.1 7B across 2 providers to find the best fit for your use caseInput / 1M
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Output / 1M
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Cache
Not sourced
Batch
Not sourced
Setup recipe
Docs fallbackInstall
Use the provider REST API or SDKAuth
Create a provider API keyCall
model: codegemma-1.1-7bModel ID
codegemma-1.1-7bRequest example
Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID
codegemma-1.1-7b.Gotchas
No curated gotchas have been sourced for this exact provider/model route yet.
Compare CodeGemma 1.1 7B Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| NVIDIA NIM | — | — |
| DeepInfra | $0.05 | $0.15 |
Pricing
| Type | Rate |
|---|---|
| GPU Hour Rate | $1.00/GPU·hr |
| GPU Config | 1xH100 |
Capabilities
Structured Outputs
FAQ
How does NVIDIA NIM compare to other CodeGemma 1.1 7B providers?
CodeGemma 1.1 7B is available from 2 providers. The cheapest input pricing is $0.05/1M tokens from DeepInfra.
Who created CodeGemma 1.1 7B?
CodeGemma 1.1 7B was created by Google DeepMind as part of the CodeGemma model family.
Is CodeGemma 1.1 7B open source?
CodeGemma 1.1 7B is open source according to the seed data.
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Model Specs
Released2024-05-03
Parameters7B
ArchitectureDecoder Only