Audience

Developers, businesses, enterprise teams, AI engineers, security teams, research teams, product teams, and organizations that need balanced AI performance for coding, everyday work, agentic workflows, technical analysis, defensive cybersecurity, API usage, Codex workflows, and cost-efficient automation

About GPT-5.6 Terra

GPT-5.6 Terra is a balanced model in the GPT-5.6 series designed for everyday work, coding, agentic workflows, cybersecurity support, biology analysis, and enterprise automation. It sits between GPT-5.6 Sol, the flagship model, and GPT-5.6 Luna, the faster and lower-cost option. Terra is positioned to deliver competitive performance to GPT-5.5 while being significantly cheaper to run. The model supports improved reasoning, coding, tool coordination, long-horizon workflows, and legitimate defensive security work. It is part of a model family built with layered safeguards, including trained refusals, real-time misuse classifiers, account-level review, differentiated access, monitoring, and continued red-team testing. GPT-5.6 Terra helps developers, enterprises, and technical teams access strong AI capabilities with a more practical balance of intelligence, speed, and cost.

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Pricing

Starting Price:
$2 per 1M tokens (input)
Pricing Details:
$2 input / $12 output per 1M tokens

Integrations

API:
Yes, GPT-5.6 Terra offers API access
See Integrations

Ratings/Reviews - 1 User Review

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 4.0 / 5
More Reviews for GPT-5.6 Terra Write a Review

Company Information

OpenAI
Founded: 2015
United States
openai.com

Videos and Screen Captures

GPT-5.6 Terra Screenshot 1
GPT-5.6 Terra Screenshot 1 GPT-5.6 Terra Screenshot 2
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

GPT-5.6 Terra Frequently Asked Questions

Q: What kinds of users and organization types does GPT-5.6 Terra work with?
GPT-5.6 Terra works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does GPT-5.6 Terra support in their product?
GPT-5.6 Terra supports these languages: English.
Q: What kind of support options does GPT-5.6 Terra offer?
GPT-5.6 Terra offers support via online.
Q: What other applications or services does GPT-5.6 Terra integrate with?
GPT-5.6 Terra integrates with: Codex Security, Agentforce Vibes, Vercel AI Gateway, AiAssistWorks, Amazon Bedrock, Amp, Anuma, App0, Auggie CLI, Augment Code, Amazon Web Services (AWS), Microsoft Foundry, Microsoft Foundry Models, Azure OpenAI Service, Bash, Brokk, C, C++, C#, Charlie, ChatGPT Canvas, ChatGPT Enterprise, ChatGPT Go, and ChatGPT Health and more.
Q: Does GPT-5.6 Terra have an API?
Yes, GPT-5.6 Terra has an API.
Q: What type of training does GPT-5.6 Terra provide?
GPT-5.6 Terra provides training in the form of documentation.
Q: How much does GPT-5.6 Terra cost?
Pricing for GPT-5.6 Terra starts at $2 per 1M tokens (input).

GPT-5.6 Terra Product Features

GPT-5.6 Terra Verified User Reviews

Write a Review
  • A GPT-5.6 Terra User
    Software Developer
    Used the software for: Less than 6 months
    Frequency of Use: Daily
    User Role: User
    Company Size: 100 - 499
    Design 5 out of 5 stars
    Ease 5 out of 5 stars
    Features 5 out of 5 stars
    Pricing 4 out of 5 stars
    Support 4 out of 5 stars
    Probability You Would Recommend? 9 out of 10

    "Amazing model"

    5 out of 5 stars Posted 2026-07-09

    Pros: GPT-5.6 Terra seems like the practical daily driver of the lineup. As a developer, I like that it is positioned as a strong lower-cost model while still being useful for coding, professional work, and agentic tasks.

    This is probably the model I would use for the bulk of my normal development workflow: writing functions, reviewing code, generating tests, explaining errors, drafting docs, and helping with everyday automation. OpenAI’s developer community announcement describes Terra as a balanced model with GPT-5.5-competitive performance at lower cost, which makes it really interesting for teams trying to scale AI usage without blowing up their budget.

    Cons: Terra probably would not be my first pick for the hardest multi-hour agent runs or the most complex architecture decisions. For those, I would still want Sol. Terra feels more like the dependable workhorse than the absolute top-end reasoning model.

    The other downside is that developers will need to figure out where the line is between “Terra is enough” and “this needs Sol.” That routing decision matters a lot if you are building cost-efficient developer tools or coding agents.

    Overall: Five stars from me. GPT-5.6 Terra looks like the model I would use most often because it balances capability, speed, and cost in a way that feels realistic for daily development. It is not the flashiest option, but it might be the most useful one for regular coding work.

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