Sold by: OpenAI
Deployed on AWS
AWS Free Tier
OpenAI GPT-5.6 Terra brings a balanced GPT-5.6 model for everyday work, software engineering, knowledge workflows, and scalable AI applications to Amazon Bedrock.
Overview
OpenAI GPT-5.6 Terra is designed for everyday work where teams need strong capability with a balance of performance and cost. It gives developers and enterprises a practical option for building AI into applications, workflows, and internal tools that require reliable reasoning across common business and technical tasks. Terra is well suited for software engineering, computer use, professional knowledge work, scientific research, and cybersecurity workflows where teams need a balance of intelligence, speed, and cost. It can support analysis, coding assistance, workflow automation, technical troubleshooting, and common knowledge-work tasks. Through Amazon Bedrock, organizations can use GPT-5.6 Terra in the AWS environment where they already build, govern, procure, and operate. This gives teams a familiar way to bring OpenAI model capabilities into production alongside AWS security, governance, identity, and operational workflows.
Highlights
- A versatile GPT-5.6 model for everyday business, technical, and developer workflows.
- Designed for teams that need strong capability with a balance of performance and cost across scalable AI applications.
- Available through Amazon Bedrock for customers who want to build with OpenAI models inside their existing AWS environment.
Details
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
cached_input_tokens_batch | $0.1375 |
input_tokens_long_ctx_standard | $4.40 |
input_tokens_long_ctx_flex | $2.20 |
input_tokens_long_ctx_batch | $2.20 |
output_tokens_long_ctx_standard | $19.80 |
output_tokens_long_ctx_flex | $9.90 |
output_tokens_long_ctx_batch | $9.90 |
cached_input_tokens_long_ctx_standard | $0.55 |
cached_input_tokens_long_ctx_flex | $0.275 |
cached_input_tokens_long_ctx_batch | $0.275 |
Dimensions summary
You pay only for what you use, measured per token. Charges split into input tokens, output tokens, cached input tokens, cache reads, and cache writes. Each token type is priced under processing modes: standard, priority, flex, and batch. Modes trade speed against cost, so you match urgency to price. Dimensions also vary by context length, offering a standard set and a long-context set for larger inputs. A global variant applies to many types as well. Cache writes track a 30-minute retention window. This structure lets you tune cost per token type, mode, context size, and region scope.
Top-of-mind questions for buyers
Each dimension bills per token processed. Input tokens are the text you send. Output tokens are the text the model returns. Cached input tokens, cache reads, and cache writes track content stored for reuse. Tokens are counted in units, so your bill reflects total tokens across each category.
Each mode meters the same tokens but trades speed against cost. Standard runs at normal speed. Priority favors faster response when timing matters. Flex favors lower cost for non-urgent work. Batch groups requests for offline processing. You pick the mode per request to match urgency to price.
Output tokens typically cost more per token than input tokens, so response-heavy workloads raise that share. Cached input tokens and cache reads lower cost when you reuse prompts. Cache writes add a charge to store content for a 30-minute window. All applicable charges add together on one invoice.
openai.com
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Delivery details
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