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Description
GPT-5.6 Terra is OpenAI’s balanced GPT-5.6 model for users who need strong performance across everyday work, development tasks, enterprise workflows, and technical analysis. The model is part of the GPT-5.6 family alongside Sol and Luna, with Terra positioned as the middle tier for capable, cost-efficient use. Terra is described as having competitive performance to GPT-5.5 while being 2x cheaper, making it useful for teams that want advanced capability without always using the flagship model. It supports coding workflows, agentic tasks, cybersecurity-related defensive work, biology workflows, knowledge work, and tool-assisted automation. In benchmark previews, Terra appears alongside Sol and Luna in evaluations for coding, biology, ExploitBench, and ExploitGym. The model benefits from the GPT-5.6 safeguard stack, which includes model-level refusals for prohibited cyber assistance, real-time cyber and biology misuse classifiers, and account-level risk review. These safeguards are designed to preserve access to legitimate work such as code review, debugging, vulnerability research, patch development, security education, and defensive testing. GPT-5.6 Terra is planned for availability through the API, Codex, and broader OpenAI products after the limited preview period. GPT-5.6 Terra helps teams get a balanced model for high-quality AI work when they need strong reasoning and automation at a lower cost than Sol.
Description
Gemini 4 is Google’s upcoming next-generation AI model family and the future successor to its current Gemini 3.x lineup. Google has confirmed that it has started pre-training Gemini 4, describing it as its most ambitious pre-training run so far. The model has not been officially launched, so there are no public API endpoints, pricing details, model cards, benchmark results, or release dates available yet. Gemini 4 is expected to build on the direction of recent Gemini models, including stronger coding, reasoning, multimodal performance, computer use, and agentic workflow support. Google’s current Gemini releases already emphasize efficiency, lower latency, better tool use, and enterprise deployment, and Gemini 4 is likely to extend those priorities at a larger scale. The model may eventually support developers building AI agents, enterprise copilots, coding tools, research assistants, multimodal apps, and knowledge-work automation. It will likely play a role across Google AI Studio, the Gemini API, Gemini Enterprise, Google Cloud, and consumer-facing Gemini experiences once released. For now, Gemini 4 should be treated as a confirmed future model in training rather than an available product. By representing Google’s next major frontier model effort, Gemini 4 signals the company’s continued push toward more capable AI systems for developers, enterprises, and everyday users.
API Access
Has API
API Access
Has API
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Integrations
.NET
Amp
ChatGPT
ChatGPT Atlas
ChatGPT Pro
Dessix
Devin Desktop
Ghost
Higgsfield Supercomputer
JetBrains AI Assistant
Integrations
.NET
Amp
ChatGPT
ChatGPT Atlas
ChatGPT Pro
Dessix
Devin Desktop
Ghost
Higgsfield Supercomputer
JetBrains AI Assistant
Pricing Details
$2 per 1M tokens (input)
$2 input / $12 output per 1M tokens
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
OpenAI
Founded
2015
Country
United States
Website
openai.com
Vendor Details
Company Name
Founded
1998
Country
United States
Website
gemini.com