Gemma 2 9B Instruct on OpenRouter

Gemma 2 · Google DeepMind

ServerlessOpen Weights

Last refreshed 2026-06-15. Next refresh: weekly.

Why use Gemma 2 9B Instruct on OpenRouter?

OpenRouter offers Gemma 2 9B Instruct with competitive pricing. OpenRouter is a multi-provider LLM aggregator offering unified API access to 300+ models from all major labs and emerging providers, with automatic failover for reliability.

Compare Gemma 2 9B Instruct across 6 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
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: google/gemma-2-9b-it
Model ID
google/gemma-2-9b-it

Request example

Curated snippets for this provider are not sourced yet. Use OpenRouter documentation with model ID google/gemma-2-9b-it.

Gotchas

  • Use provider model ID "google/gemma-2-9b-it", not the LLMReference slug "gemma-2-9b-it".

Compare Gemma 2 9B Instruct Across Providers

ProviderInput (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
View all 6 providers →

Capabilities

Structured Outputs

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.

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Model Specs

Released2024-06-27
Parameters9B
Context8k
ArchitectureDecoder Only

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