Google • LLM
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...
Context Window
8K tokens
Input Price/1M
$0.65
Output Price/1M
$0.65
Parameters
—
Max Output
2K tokens
Gemma 2 27B results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| HF Average | 10.3 | 100.0 | HuggingFace Open LLM Leaderboard v2 |
Gemma 2 27B is an AI model developed by Google, classified as a large language model (LLM). It focuses on text processing and natural language generation. As a proprietary model, it is available via Google's cloud API. With a context window of 8K tokens, it is suitable for processing short documents and direct prompts.
Gemma 2 27B is usage-based, priced at $0.65/1M input tokens and $0.65/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Gemma 2 27B was evaluated on 1 different benchmarks, covering categories like overall. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Gemma 2 27B is suitable for a wide range of AI applications: high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
In the 2026 AI model ecosystem, Gemma 2 27B competes directly with similarly capable models. Key competitors include GPT (OpenAI), Claude (Anthropic), and open source models like Llama (Meta) and Qwen (Alibaba). The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
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...
Gemma 2 27B costs $0.65/1M input tokens and $0.65/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
In available benchmarks, Gemma 2 27B scored: HF Average: 10.25/100. See the full table above for a detailed comparison.
No, Gemma 2 27B is a proprietary model from Google. It is available via cloud API. For open source alternatives, check our open source model ranking.
Gemma 2 27B excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →