Gemma 3n 4B

What is Gemma 3n 4B?

Gemma 3n 4B 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 33K tokens, it is suitable for processing medium-sized documents like articles, reports, and code sections.

Pricing & Costs in 2026

Gemma 3n 4B is usage-based, priced at $0.06/1M input tokens and $0.12/1M 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.

Benchmarks & Performance

We don't have detailed benchmark results for Gemma 3n 4B yet. Benchmarks are updated weekly as new data becomes available from sources like Artificial Analysis, LM Arena, and LiveBench.

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.

Recommended Use Cases

Gemma 3n 4B is suitable for a wide range of AI applications: high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.

Comparison with Alternatives

In the 2026 AI model ecosystem, Gemma 3n 4B 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.