Last refreshed 2026-05-19. Next refresh: weekly.
Why use Gemma 3 1B Instruct on NVIDIA NIM?
NVIDIA NIM offers Gemma 3 1B Instruct with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Compare Gemma 3 1B 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: google/gemma-3-1b-itgoogle/gemma-3-1b-itRequest example
google/gemma-3-1b-it.Gotchas
- Use provider model ID "google/gemma-3-1b-it", not the LLMReference slug "gemma-3-1b-instruct".
Compare Gemma 3 1B Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Fireworks AI | $0.10 | $0.10 |
| NVIDIA NIM | — | — |
Pricing
| Type | Rate |
|---|---|
| GPU Hour Rate | $1.00/GPU·hr |
| GPU Config | 1xH100 |
Capabilities
No model capability flags are currently sourced.
About Gemma 3 1B Instruct
Gemma 3 1B Instruct is Google DeepMind's Gemma 3 model. It offers a 32K-token context window with weights openly available for self-hosting.
FAQ
What is the context window for Gemma 3 1B Instruct on NVIDIA NIM?
Gemma 3 1B Instruct supports a 32k token context window on NVIDIA NIM.
How does NVIDIA NIM compare to other Gemma 3 1B Instruct providers?
Gemma 3 1B Instruct is available from 2 providers. The cheapest input pricing is $0.1/1M tokens from Fireworks AI.
What API model ID do I use for Gemma 3 1B Instruct on NVIDIA NIM?
Use the model ID google/gemma-3-1b-it when calling NVIDIA NIM's API.
Who created Gemma 3 1B Instruct?
Gemma 3 1B Instruct was created by Google DeepMind as part of the Gemma 3 model family.
Is Gemma 3 1B Instruct open source?
Gemma 3 1B Instruct has open weights under Gemma according to the seed data, but that does not necessarily mean an OSI-approved open-source license.