Google: Gemini 4 Carbon
google/gemini-4-carbon
Try Gemini 4 Carbon 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/gemini-4-carbon"
}).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/gemini-4-carbon"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
Gemini 4 Carbon is Google DeepMind's top model in the Gemini 4 family, announced on October 28, 2026 as a step above Gemini 4 Argon. Google built it for long, multi-step software engineering and defensive cybersecurity, such as finding, validating, and patching vulnerabilities.
Google reports 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench. It scores 59 on the Artificial Analysis Intelligence Index v5.0, which Google says places it first on that index.
It accepts text, image, audio, video, and file input with a 1M-token context window. Introductory pricing matches Argon at $2 per million input tokens and $10 per million output tokens, rising to $4 and $20 later, and cached input costs 95% less. It suits coding agents, security tooling, and long-document analysis.
Context Window 1M
tokens
Max Output 944K
tokens
Input Cost $2
per million tokens
Output Cost $10
per million tokens
Input text, image, audio, video, file
modalities
Tool Use Yes
Release Date Oct 28, 2026
Output Speed 106
tokens / sec
Latency 117.48s
time to first token
Try Gemini 4 Carbon for free
Try Gemini 4 Carbon instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How Gemini 4 Carbon performs on standard evaluations.
| Benchmark | Score |
|---|---|
| LCR Long-context reasoning | 79.3% |
Scores sourced from Artificial Analysis.
Find other Google models →
Gemini 4 Argon
Gemini 4 Argon is Google's flagship Gemini 4 model, announced by Google DeepMind on September 30, 2026. It is aimed at long, multi-step software engineering, legal and finance work, and defensive cybersecurity. Google reports 77.9% on DeepSWE v1.1 (Claude Opus 5.5 74.2%, GPT-6 Astra 74.1%) and 19.6% on Harvey's Legal Agent Benchmark. It trails Opus 5.5 on Terminal-bench 4.0 (57.4% vs 66.4%) and GPT-6 Astra on FrontierSWE v2 (55.0% vs 65.5%). Vals.ai places it first on the Vals Index at 68.9%. Introductory pricing is $2 per million input tokens and $10 per million output tokens, rising to $4 and $20 later. It suits teams running coding agents or document-heavy professional workflows.
ImageGemini Nano Banana 2.1
Gemini Nano Banana 2.1 is Google's image generation and conversational editing model, released in October 2026 as an update to Nano Banana 2 (Gemini 3.1 Flash Image). It keeps Flash-tier speed and cost while improving visual quality, prompt adherence, text rendering, and multi-turn character consistency. It accepts text, image, video, and PDF input and returns images and text. Output is available at 1K, 2K, and 4K, with fixes for tiling artifacts on wide aspect ratios such as 1:8 and 8:1 at 2K and 4K. It can combine up to 14 reference images, and supports search grounding and configurable thinking levels. A 1K image costs $0.0336. Choose it for infographics, text-heavy graphics, and multi-step editing where the same characters must stay consistent across turns.
ChatGemini 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.
Frequently Asked Questions
You can access Gemini 4 Carbon 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.
Gemini 4 Carbon 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.
Gemini 4 Carbon 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 | $2 |
| Output | $10 |
Gemini 4 Carbon was created by Google and released on Oct 28, 2026.
Gemini 4 Carbon supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,097 pages of text.
Gemini 4 Carbon can generate up to 944K tokens in a single response.
Gemini 4 Carbon accepts the following input types: text, image, audio, video, file. It produces: text.
Yes, Gemini 4 Carbon supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Gemini 4 Carbon scores 60.0 on the Artificial Analysis Intelligence Index, outperforming 97% of tracked models.
Yes — the Gemini 4 Carbon 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 Gemini 4 Carbon to your app for free
Developers can integrate Gemini 4 Carbon for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.