Gemma 2 27B

Gemma 2 27B by Google excels in the Coding category, where it ranks #112 with a composite score of 77/100. Gemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-suited for a variety of... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Gemma 2 27B is priced at $0.65 per million input tokens and $0.65 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Gemma 2 27B holds rank #112 out of 438 models tracked. Its quality rank is #112 and adoption rank is #112. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Gemma 2 27B has been evaluated across 6 different signals. Its strongest areas include Capabilities (33/100), Benchmarks (83/100), Pricing (99/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 77/100 reflects a weighted combination of all tracked signals.

Gemma 2 27B is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Google's website for current free tier availability and promotional offers.

Gemma 2 27B supports a 8K token context window (8,192 tokens total). That translates to roughly 6,144 words in a single prompt. Best suited for shorter prompts and focused tasks where you do not need to load massive context.

Gemma 2 27B can generate up to 2K output tokens (2,048 tokens) per response. That is roughly 1,536 words. Sufficient for typical conversations, code snippets, and summaries.

Gemma 2 27B supports structured JSON output, streaming responses. These capabilities determine which workflows and integrations the model can handle natively.

Yes, Gemma 2 27B is an open-source model. You can download the weights, run it locally, fine-tune it for your use case, or deploy it on your own infrastructure. Many cloud providers also offer hosted versions if you prefer not to manage the infrastructure yourself. Self-hosting gives you full control over data privacy and eliminates per-token API costs.

Gemma 2 27B was developed by Google. It was released on July 13, 2024. You can access it through Google's API or download the model weights directly. Check our provider page for all models from Google and how they compare against each other.

Pick Gemma 2 27B when you need a solid balance of cost and capability for everyday development tasks, content generation, and standard API integrations. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access Gemma 2 27B through Google's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.