Limited access
Opens to everyone soon · Announcement
- Context
- 1Mtokens
- Released
- 2w ago
Cost/1M tokens
Google DeepMind's Gemini 4 Carbon is a frontier model that the launch announcement says builds on Gemini 4 Argon, released two weeks earlier. The maker says it improves on its predecessor in cybersecurity and long-running agentic tasks, reporting more than twice the success rate at generating secure code. It is built for sustained engineering work such as finding vulnerabilities, checking whether they are exploitable, and producing fixes.
- Multimodal model
- Accepts images, audio, video, files
- 1M context
- Reasoning
- Tools
- Structured output
How it compares
Score vs. costArena Text
Each model at its best score · Dashed: the best score at each cost
- Google DeepMind
- Meta
- Anthropic
- Moonshot AI
- OpenAI
- Z.ai
- Xiaomi
Vs. your stack
Add the models you use to see how this one compares.
Sign inAdditional source evidence
- Source model
- google/gemini-4-carbon
- Source family
- gemini
- Last updated
- 2026-11-10
- Knowledge cutoff
- 2026-03
- Model context
- 1M
- Model output limit
- 66K
- Open weights
- No
- File attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Temperature control
- No
Complete source record (JSON)
{
"id": "google/gemini-4-carbon",
"name": "Gemini 4 Carbon",
"description": "Google's most capable reasoning model for complex software engineering, deep math and science, high factual accuracy, and long-horizon autonomous agents",
"family": "gemini",
"last_updated": "2026-11-10",
"knowledge": "2026-03",
"attachment": true,
"reasoning": true,
"tool_call": true,
"temperature": false,
"modalities": {
"input": [
"text",
"image",
"video",
"audio",
"pdf"
],
"output": [
"text"
]
},
"limit": {
"context": 1048576,
"output": 65536
},
"release_date": "2026-11-10",
"open_weights": false
}Text provenance
Gemini app/webGoogle SynthID text watermarking
Google DeepMind says text generated in the Gemini app and web experience is watermarked with SynthID by adjusting token probabilities.
Official explanationFrequently asked questions
API and pricing
$2.00 per 1M input tokens and $10.00 per 1M output tokens. Across the 7 tracked paid providers, input prices range from $1.00 to $3.60 per 1M tokens.
Google AI Studio. It charges $1.00 per 1M input tokens and $5.00 per 1M output tokens, the lowest blended price at a 3:1 input to output mix.
Yes. Cached input costs $0.10 per 1M tokens versus $2.00 uncached, a 95% discount, and cache writes cost $0.1875 per 1M tokens.
No. Google AI Studio offers batch pricing at $1.00 per 1M input tokens and $5.00 per 1M output tokens, but the batch input discount versus standard is 0%.
$0.015 at the cheapest provider, Google AI Studio, for a typical request of 10,000 input tokens and 1,000 output tokens.
In the last day, 3 of 7 endpoints with uptime data ran at 99% or better. The best uptime was 100.0%, by Google and Google AI Studio.
Privacy and data
Google offers zero data retention for Gemini 4 Carbon (ZDR eligible or 0-day retention).
Capabilities and specs
The context window is 1M tokens (1,048,576), and the maximum output is 944K tokens (943,718).
Yes. Listed input modalities are audio, file, image, text and video.
Yes, tool calling (function calling) is supported.
Yes, structured output (JSON schema or JSON mode) is supported.
Yes, and reasoning is always on. Effort levels are high, medium and low, with medium as the default. All 7 of 7 tracked providers expose it, and a provider offers the reasoning_effort effort setting.
The knowledge cutoff is 2026-03.
Quality and benchmarks
On Arena Text it ranks 1 with a score of 1526, on Agent Arena it ranks 2 with a score of 0.2, and on Arena WebDev it ranks 4 with a score of 1768.
GPT-6.1 Sol by OpenAI, Claude Sonnet 5.5 by Anthropic, and GPT-6 Sol by OpenAI, each at a blended price of $4.00 per 1M tokens. They were matched on model kind, blended price and release date.
GPT-6.1 SolGemini 4 Carbon vs GPT-6.1 SolClaude Sonnet 5.5Gemini 4 Carbon vs Claude Sonnet 5.5GPT-6 SolGemini 4 Carbon vs GPT-6 Sol
Kimi K3, the highest-ranked open-weight model on Arena Text at rank 19. Gemini 4 Carbon itself is closed.
Versions and lineage
Both have a 1M token (1,048,576) context and the same price of $2.00 input and $10.00 output per 1M tokens. The difference is release date: Gemini 4 Carbon was released October 28, 2026, and Gemini 4 Argon on September 30, 2026.
Yes. Its predecessor is Gemini 4 Argon and no successors are listed.
Licensing and access
No. Gemini 4 Carbon is closed, with a proprietary license.
It is available on Google Vertex AI. There is no tracked endpoint on Azure or Amazon Bedrock.
Basics
Gemini 4 Carbon was made by Google DeepMind and released on October 28, 2026.
No. Gemini 4 Carbon is closed, and the listed API price is $2.00 per 1M input tokens and $10.00 per 1M output tokens.
Generated from Vertical Tabs data, updated November 11, 2026.
Discussion1
[deleted]
ok.