Last refreshed 2026-05-19. Next refresh: weekly.
Why use CodeGemma 7B Instruct on NVIDIA NIM?
NVIDIA NIM offers CodeGemma 7B Instruct with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Compare CodeGemma 7B Instruct across 2 providers to find the best fit for your use caseSetup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: codegemma-7b-itcodegemma-7b-itRequest example
codegemma-7b-it.Gotchas
No curated gotchas have been sourced for this exact provider/model route yet.
Compare CodeGemma 7B Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| NVIDIA NIM | — | — |
| Fireworks AI | $0.20 | $0.20 |
Pricing
| Type | Rate |
|---|---|
| GPU Hour Rate | $1.00/GPU·hr |
| GPU Config | 1xH100 |
Capabilities
No model capability flags are currently sourced.
About CodeGemma 7B Instruct
CodeGemma 7B Instruct is Google DeepMind's CodeGemma model. It is deprecated (originally released 2024-04-09); use it only for reproducing earlier results or evaluating drift over time.
FAQ
What is the context window for CodeGemma 7B Instruct on NVIDIA NIM?
CodeGemma 7B Instruct supports a 8k token context window on NVIDIA NIM.
How does NVIDIA NIM compare to other CodeGemma 7B Instruct providers?
CodeGemma 7B Instruct is available from 2 providers. The cheapest input pricing is $0.20/1M tokens from Fireworks AI.
Who created CodeGemma 7B Instruct?
CodeGemma 7B Instruct was created by Google DeepMind as part of the CodeGemma model family.
Is CodeGemma 7B Instruct open source?
CodeGemma 7B Instruct has open weights under Gemma according to the seed data, but that does not necessarily mean an OSI-approved open-source license.