Last refreshed 2026-05-01. Next refresh: weekly.
Why use Gemma 2 9B Instruct on NVIDIA NIM?
NVIDIA NIM offers Gemma 2 9B Instruct with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Compare Gemma 2 9B Instruct across 6 providers to find the best fit for your use caseSetup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: gemma-2-9b-itgemma-2-9b-itRequest example
gemma-2-9b-it.Gotchas
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Compare Gemma 2 9B Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Fireworks AI | $0.20 | $0.20 |
| NVIDIA NIM | — | — |
| OpenRouter | — | — |
| Chutes AI | $0.10 | $0.30 |
| Replicate API | $0.10 | $0.10 |
Capabilities
About Gemma 2 9B Instruct
Gemma 2 9B Instruct, developed by Google, is a state-of-the-art large language model based on the advanced Gemini framework. It is a decoder-only transformer model with 9 billion parameters, offering a balance between size and performance. The model is trained on an expansive dataset comprising 8 trillion tokens, including web documents, code, and mathematical text, a notable 30% increase from its predecessor, Gemma 1.1. This allows it to adeptly handle diverse tasks such as question answering, creative writing, coding, and mathematical problem-solving.