LLM Reference
NVIDIA NIM

CodeGemma 1.1 7B on NVIDIA NIM

CodeGemma · Google DeepMind

ProvisionedOpen Weights

Last refreshed 2026-05-19. 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 case
Input / 1M
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Output / 1M
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Cache
Not sourced
Batch
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Setup recipe

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Use the provider REST API or SDK
Auth
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Call
model: codegemma-1.1-7b
Model ID
codegemma-1.1-7b

Request 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

ProviderInput (per 1M)Output (per 1M)
NVIDIA NIM
DeepInfra$0.05$0.15

Pricing

TypeRate
GPU Hour Rate$1.00/GPU·hr
GPU Config1xH100

Capabilities

Structured Outputs

About CodeGemma 1.1 7B

CodeGemma 1.1 7B is Google DeepMind's CodeGemma model. It is deprecated (originally released 2024-05-03); use it only for reproducing earlier results or evaluating drift over time.

FAQ

What is the context window for CodeGemma 1.1 7B on NVIDIA NIM?

CodeGemma 1.1 7B supports a 8k token context window on NVIDIA NIM.

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 has open weights under Gemma according to the seed data, but that does not necessarily mean an OSI-approved open-source license.

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Model Specs

Released2024-05-03
Parameters7B
Context8k
ArchitectureDecoder Only

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