Google: Gemma 3 27B
google/gemma-3-27b-it
Try Gemma 3 27B for free in your browser, and add it to your app for free with Puter.js AI API.
Try it free Add to your app// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "google/gemma-3-27b-it"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "google/gemma-3-27b-it"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
Gemma 3 27B Instruct is Google's most capable single-GPU open model with multimodal support, 128K context, and 140+ language support. It outperforms many larger models and offers state-of-the-art open-weight performance.
Context Window 128K
tokens
Max Output 128K
tokens
Input Cost $0.08
per million tokens
Output Cost $0.16
per million tokens
Release Date Mar 12, 2025
Try Gemma 3 27B for free
Try Gemma 3 27B instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How Gemma 3 27B performs on standard evaluations.
| Benchmark | Score |
|---|---|
| GPQA Diamond Graduate-level science Q&A | 42.8% |
| Humanity's Last Exam Cross-domain reasoning | 4.4% |
| LiveCodeBench Recent coding problems | 13.7% |
| SciCode Scientific programming | 23.3% |
| MATH-500 Competition math | 88.3% |
| AIME 2024 Advanced math exam | 25.3% |
| AIME 2025 Advanced math exam | 20.7% |
| IFBench Instruction following | 31.8% |
| LCR Long-context reasoning | 7.3% |
| Terminal-Bench Hard Agentic terminal tasks | 3.8% |
| τ²-Bench Tool use / agents | 10.5% |
Scores sourced from Artificial Analysis.
Find other Google models →
Gemini 3.8 Flash
Gemini 3.8 Flash is Google's workhorse Flash-tier model, released September 2, 2026, three weeks after Gemini 3.7 Flash. It's built for long-horizon software engineering, agentic workflows, and multi-step reasoning in professional domains. Google reports it outperforms 3.7 Flash and other frontier models on DeepSWE v1.1 for autonomous engineering tasks, on Vals Finance Agent V2, and on Harvey's Legal Agent Benchmark. It scores 54.9% on HLE-Verified, and completes more than three times as many tasks as 3.7 Flash in Google's long-running, document-heavy workflow evaluations. It accepts text, image, video, audio, and PDF input with a 1M token context window and 64K token output limit, supports function calling and iterative tool use, and has a March 2026 knowledge cutoff. Priced at $0.75 per million input tokens and $3.75 per million output tokens through 2026, it targets teams running coding agents or document-heavy enterprise workflows.
ChatGemini 3.7 Flash
Gemini 3.7 Flash is Google's workhorse Flash-tier model, released August 13, 2026, three weeks after Gemini 3.6 Flash. It's built for coding and agentic workflows, targeting software engineering, web development, and knowledge-dense domains like finance and law. Google reports gains over Gemini 3.6 Flash on several benchmarks. DeepSWE v1.1 rose from 49.0% to 65.3%, FrontierCode 1.1 from 34.4% to 43.6%, and AutomationBench from 17.0% to 30.4%. On FrontierCode 1.1 it scores above Claude Sonnet 5 (42.7%) and GPT-5.6 Terra (41.3%), though GPT-5.6 Terra edges it out on Terminal-bench 2.1 (87.4% vs 85.8%). It accepts text, image, video, audio, and PDF input with a 1M token context window and 64K token output limit. It supports function calling, search as a tool, and computer use, and has a March 2026 knowledge cutoff. It's priced at roughly half of Gemini 3.6 Flash's rate, fitting teams running coding agents or high-volume document processing.
ChatGemini Robotics ER 2 Preview
Gemini Robotics ER 2 Preview is Google's embodied reasoning model for robotics, available through the Gemini API and Google AI Studio. It takes video, images, audio and text, reasons about a physical scene, plans multi-step tasks, and hands actions off to a vision-language-action model, a robotics API, or developer-defined tools through function calling. Google says it can plan its next step while a robot is moving, works with the Gemini Live API, and can monitor a task in video, detect failures and retry individual steps. It also supports multi-robot coordination. In Google's reported tests it reached 91.3% accuracy at identifying when a key event occurred in a video (mean error 0.96 seconds) and 57.4% on progress classification. It is meant for developers building robot planning, success detection and scene understanding on top of the Gemini API.
Frequently Asked Questions
You can access Gemma 3 27B by Google through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Gemma 3 27B is free to try with a Puter account. Every account includes a free AI allowance, and you can chat with it in the playground on this page. You can upgrade your account anytime for a larger allowance.
Gemma 3 27B is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.
| Price per 1M tokens | |
|---|---|
| Input | $0.08 |
| Output | $0.16 |
Gemma 3 27B was created by Google and released on Mar 12, 2025.
Gemma 3 27B supports a context window of 128K tokens. For reference, that is roughly equivalent to 256 pages of text.
Gemma 3 27B can generate up to 128K tokens in a single response.
Gemma 3 27B scores 4.9 on the Artificial Analysis Intelligence Index, outperforming 2% of tracked models. On coding, it scores 10.1 (outperforms 9% of models). On math, it scores 20.7 (outperforms 22% of models).
Yes — the Gemma 3 27B API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Add Gemma 3 27B to your app for free
Developers can integrate Gemma 3 27B for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.