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Average Ratings 1 Rating
Description
Gemini 4 Carbon is a frontier AI model developed by Google DeepMind to support advanced cybersecurity defense, autonomous software engineering, and complex reasoning tasks. The model builds on Gemini 4 Argon with improvements in coding accuracy, long-running agent workflows, scientific problem-solving, and multimodal understanding. Its cybersecurity capabilities include identifying software vulnerabilities, validating exploitability, analyzing security risks, and generating code patches that address underlying defects. Gemini 4 Carbon achieved 88.2% on SEC-bench Pro for vulnerability detection, 54.8% on ExploitGym for exploit validation, and 71.0% on CWE-bench for vulnerability remediation in Google's reported evaluations. Its long-horizon agentic capabilities allow the model to investigate complex engineering problems, navigate dead ends, and coordinate tasks that may require extended execution. Software development features include repository-level debugging, secure code generation, full-stack web development, and automated remediation of difficult programming issues. The model also includes improved factual reliability, prompt injection resistance, instruction following, and safeguards against unintended actions. Google reports that Gemini 4 Carbon ranks first on the Artificial Analysis Intelligence Index version 5.0 with a score of 59.
Description
SWE-1.7 is Cognition’s most capable software engineering model, built to push frontier coding performance while reducing the cost of high-quality agentic rollouts. The model is designed for real-world software development tasks that require extended reasoning, codebase understanding, terminal use, debugging, feature work, migrations, and careful validation. It was trained from a Kimi K2.7 base and improved through Cognition’s reinforcement learning pipeline, including more stable training, stronger infrastructure, better data curation, and long-horizon task techniques. SWE-1.7 is especially optimized for asynchronous software engineering, where an agent needs to work through large projects over longer sessions instead of simply answering short prompts. Its self-compaction capabilities allow the model to summarize its working state and resume from that summary, helping it operate beyond the raw context window on multi-hour tasks. The model is also trained to balance task success with efficiency, using concise reasoning when possible while preserving deeper exploration for harder problems. SWE-1.7 tends to investigate codebases more thoroughly than its base model, reading files, running searches, probing edge cases, and experimenting before making changes. It is available in Devin through web, desktop, and CLI interfaces, with Cerebras serving support at 1000 TPS. SWE-1.7 gives developers and engineering teams a high-performance coding model for complex software projects at a more practical cost.
API Access
Has API
Yes
API Access
Has API
No
Integrations
C
Yes
C#
Yes
C++
Yes
CSS
Yes
Dart
Yes
HTML
Yes
Kubernetes
Yes
Lua
Yes
Objective-C
Yes
PHP
Yes
Integrations
C
Yes
C#
Yes
C++
Yes
CSS
Yes
Dart
Yes
HTML
Yes
Kubernetes
Yes
Lua
Yes
Objective-C
Yes
PHP
Yes
Pricing Details
$2 per 1M tokens (input)
$2 per million input tokens and $10 per million output tokens, with cached input tokens priced at 95% off input token price.
Free Trial
No
Free Version
No
Pricing Details
$20/month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Founded
1998
Country
United States
Website
gemini.com
Vendor Details
Company Name
Cognition
Founded
2023
Country
United States
Website
cognition.com