Gemma 2 27B by Google is an open model built from the same research and technology used to create the Gemini models.
Gemma models are well-suited for a variety of text generation tasks, including question answering, summarization, and reasoning.
See the launch announcement(opens in new tab) for more details. Usage of Gemma is subject to Google's Gemma Terms of Use(opens in new tab).
Modalities
In / Out Price
$0.65 / $0.65per 1M
Context
8K
Released
Jul 13, 2024
Knowledge Cutoff
Jun 2024
This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
List price is the headline rate per million tokens. Effective price is what you actually pay after prompt caching is applied — for repeated context, this can be 60–80% cheaper. The chart below shows the rolling effective price over the past 30 days.
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Token volume and request traffic to this model over time.
Percent of requests that succeeded over the last 30 days. OpenRouter monitors every provider continuously and automatically retries on the next-best provider when one returns an error.
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
