Gemma 3 27B
Google’s 27B-parameter open-weight transformer with multilingual support, long-context architecture, and vision-language design.
Get API keyWhat is Gemma 3 27B?
Gemma 3 27B is Google’s largest open-weight model in the Gemma 3 family, released in March 2025. It is a 27-billion-parameter multimodal transformer supporting text and image inputs with a 128K token context window, designed for reasoning, coding, and multilingual tasks on consumer-grade hardware.
Use Gemma 3 27B privately on Venice
On Venice, Gemma 3 27B runs inside a TEE with end-to-end encryption and zero retention — your prompts are never stored or used for training. You get the same open weights with full data sovereignty, plus native web search integration, without Big-Tech surveillance.
What can Gemma 3 27B do?
- •Open weights released under the Gemma license, enabling local deployment and fine-tuning without proprietary lock-in.
- •Architecture supports up to 128K tokens and 140+ languages, excelling at long-document and multilingual tasks.
- •Efficient local-global attention design reduces KV-cache memory, making 27B-scale inference viable on consumer hardware.
- •Integrated web search on Venice lets the model retrieve current information to ground responses without external tooling.
- •Post-training distillation and reinforcement learning improve math, reasoning, and chat performance over Gemma 2.
- •Not fully open source — the Gemma license imposes usage restrictions that fall short of OSI standards.
- •On Venice the context is limited to 40K tokens, well below the model’s native 128K window.
- •Coding and agentic benchmarks lag behind larger closed frontier models and top-tier open rivals.
- •Multimodal vision inputs are not exposed on Venice; only text plus web search is available.
- •The model is not uncensored and may refuse or moderate responses on sensitive topics.
Gemma 3 27B capabilities
- Tool use / function calling
- Vision (image input)
- Reasoning
- Web search
- Code-optimized
- Structured output (JSON schema)
- Audio input
- Video input
- Multiple image inputs
- Log probabilities
How to use Gemma 3 27B via API
Venice exposes an OpenAI-compatible API. Swap your base URL and call e2ee-gemma-3-27b-p.
curl https://api.venice.ai/api/v1/chat/completions \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "e2ee-gemma-3-27b-p",
"messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
}'Specifications
Pricing
Billed per token on Venice: $0.14 per 1M input tokens and $0.50 per 1M output tokens.
New Venice accounts include a free daily allowance and 500 welcome credits — no credit card required.
Gemma 3 27B vs alternatives
| Model | Context | Open weights | Price (Venice) | Best for |
|---|---|---|---|---|
| Gemma 3 27B | 40K tokens | Yes | $0.14 in · $0.50 out / 1M | Multilingual text & web search |
| Google Gemma 4 31B Instruct | 256K tokens | Yes | $0.12 in · $0.36 out / 1M | Long-context reasoning |
| DeepSeek V3.2 | 160K tokens | Yes | $0.33 in · $0.48 out / 1M | Coding & MoE efficiency |
| Claude Sonnet 4.6 | 1M tokens | No | $3.60 in · $18 out / 1M | Agentic workflows |
| Kimi K2.6 | 256K tokens | Yes | $0.75 in · $3.50 out / 1M | Long-document analysis |
The lightweight open-weight workhorse with native web search and strong multilingual support.
What is Gemma 3 27B good for?
- •Multilingual content generation, translation, and summarization across 140+ languages.
- •Long-document analysis and question answering where the full context matters.
- •Low-cost, high-volume text generation for applications that need open-weight sovereignty.
- •Web-grounded research and fact-checking via Venice’s native search integration.
- •Fine-tuning and local deployment on consumer GPUs thanks to efficient architecture.
Prompting tips
- •Use the language you need directly — Gemma 3 was trained on 140+ languages and often performs best with native prompts rather than English translation.
- •For long documents, place the instruction at the end of the prompt to leverage the model’s long-context attention.
- •Keep prompts structured and explicit; the instruction-tuned variant responds well to clear formatting like bullet points or XML tags.
- •Enable web search on Venice when you need current facts beyond the model’s training cutoff.
Version history
CurrentCurrent release with multimodal architecture and 128K context.
Frequently asked questions
Gemma 3 27B is Google’s largest open-weight model in the Gemma 3 family, released in March 2025. It is a 27-billion-parameter transformer with native multimodal architecture, multilingual support across 140+ languages, and a 128K token context window, designed for reasoning, coding, and long-document tasks.
Venice bills per token at $0.14 per 1M input tokens and $0.50 per 1M output tokens. There is no subscription required; you only pay for what you use.
It has open weights under the Gemma license, so you can download and fine-tune it locally. However, the Gemma license is not a fully OSI-approved open-source license and carries some usage restrictions.
Yes. On Venice, Gemma 3 27B includes native web search integration, letting it retrieve current information to ground its responses.
Choose Gemma 3 27B for low-cost, high-volume multilingual tasks and web search. Choose Gemma 4 31B if you need a larger 256K context window, lower per-token pricing, and newer reasoning performance.
No. Gemma 3 27B is not uncensored and may refuse or moderate responses on certain sensitive topics.
Conversations are private with zero retention. The model runs inside a TEE with end-to-end encryption, meaning your prompts are not stored, profiled, or used for training.
Venice supports a 40K token context window and up to 4,096 tokens of output per request for this model.
Related models
Run Gemma 3 27B privately.
No prompt logging. No data used for training. Free to start — no credit card.
