GPT 6.1 Terra Economy
GPT 6.1 Terra Economy offers an ultra-low-cost deployment channel for OpenAI's premier GPT 6.1 Terra model architecture. Engineered to handle sustained multi-turn coding runs, automated tool usage, complex document parsing, and agentic workflows, this Economy channel is specifically optimized for maximum budget efficiency. While retaining the underlying reasoning power, adaptive problem-solving depth, and multi-modal perception of GPT 6.1 Terra, it operates with dynamic stability limits and lower concurrency priority compared to the standard Official channel.
Related Models
GPT 6.1 Sol Economy
GPT 6.1 Sol Economy offers an ultra-low-cost deployment channel for OpenAI's latest GPT-6.1 Sol architecture. Delivering near-Astra level reasoning, agentic code synthesis, and multi-step tool execution, this Economy channel is specifically optimized for extreme cost reduction. While maintaining the core intelligence of the Sol architecture, it operates with lower concurrency priority and dynamic stability limits compared to the standard Official channel. It is the ideal choice for developers driving background batch processing, automated code testing, non-urgent document analysis, and large-scale asynchronous LLM pipelines where unit economics are paramount.
GPT 6 Sol Economy
GPT-6 Sol is OpenAI's cost-efficient, high-performance foundation model in the GPT-6 family, designed to balance flagship-tier intelligence with frontier efficiency. Positioned directly below GPT-6 Astra, Sol excels at long-horizon software engineering, agentic workflow orchestration, and native computer use while dramatically reducing output errors and API operational costs.
GPT 6 Astra Economy
GPT-6 Astra is OpenAI's flagship frontier model engineered for long-horizon, complex end-to-end enterprise workflows. Representing a major generational leap toward agentic intelligence, Astra integrates deep multi-step reasoning, advanced software engineering, and native computer-use capabilities to navigate software interfaces and execute multi-application workflows directly via GUI. Powered by symbolic world modeling and dynamic course-correction, it can break open-ended goals into actionable steps, handle ambiguous edge cases, and execute complex operations across unstructured environments. Setting new benchmarks on ARC-AGI-3 as well as complex financial, scientific, and coding tasks, GPT-6 Astra is built for enterprise agent orchestration, autonomous software development, financial intelligence, and complex legal/business decision support.
GPT 5.6 Sol Economy
GPT-5.6 Sol is the flagship model in OpenAI’s GPT-5.6 series. It is specifically designed for complex reasoning, coding, and agentic workflows, and particularly excels at multi-step problem solving, command-line assistance, and high-quality software tasks. This model is recommended when output quality and reliability matter more than raw throughput.
Read Me
GPT 6.1 Terra Economy API
Notice: The model has economy is means this model is not stable and just pricing is lower than the official, if you run the project for stable service we suggest you using the official channel as first option and economy as the alternative retry channels.
GPT 6.1 Terra Economy is a cost-effective channel provided exclusively by the iCreat platform, developed by OpenAI and released as a frontier-level multimodal large language model. It deeply integrates adaptive dynamic reasoning, symbolic environment modeling, native computer vision, and system interaction capabilities. It is designed for extreme throughput, large-scale Agent workflows, and end-to-end complex real-world system manipulation.
On the iCreat platform, this model operates via an OpenAI-compatible Chat Completions endpoint at https://api.icreat.ai/v1. It supports both synchronous and streaming (SSE) modes, offering long context windows and industrial-grade energy efficiency. It is positioned as the ideal foundation for next-generation automated Agents and enterprise-grade systems, featuring the lowest input/output pricing among comparable economy and flagship models.
Model Positioning
GPT 6.1 Terra Economy is positioned as a high-throughput, high-efficiency channel for large-scale Agent workflows and complex real-world system manipulation. As an Economy channel provided by the iCreat platform, it provides developers with extreme cost-efficiency (input at $0.1 and output at $0.5 per million tokens) while retaining the model's core adaptive dynamic reasoning and symbolic environment modeling capabilities. It is tailored for long-horizon code refactoring, cross-platform autonomous GUI operations (Computer Use), long-horizon financial engineering simulations, and complex multi-tool orchestration.
Core Capabilities
Adaptive Dynamic Reasoning and Symbolic Environment Modeling
The Terra architecture deeply fuses adaptive dynamic reasoning with symbolic environment modeling, enabling the model to construct and maintain complex environmental states during long-horizon tasks, ensuring robust performance in multi-step reasoning and execution scenarios.
Native Computer Vision and System Interaction
The model possesses native computer vision and system interaction capabilities, allowing it to autonomously operate graphical user interfaces across platforms (Computer Use) and interact directly with real-world systems, bridging the gap between language understanding and physical software execution.
Extreme Throughput and Industrial-Grade Efficiency
Engineered for extreme throughput, the model balances top-tier intelligence with industrial-grade energy efficiency. This makes it highly suitable for enterprise-grade systems requiring massive parallel processing and large-scale automated Agent deployments without compromising on response quality.
Complex Multi-Tool Orchestration
It excels at complex multi-tool orchestration, seamlessly integrating various external tools and APIs to solve multifaceted problems. This capability makes it a powerful backbone for financial engineering simulations and comprehensive code refactoring tasks.
Pricing
| Token Type | Price (USD) | Unit |
|---|---|---|
| Input | $0.1 | Per million tokens |
| Output | $0.5 | Per million tokens |
| Cache read | $0.005 | Per million tokens |
| Cache write | $0.125 | Per million tokens |
Application Scenarios
- Long-horizon code refactoring and automated software engineering
- Cross-platform autonomous GUI operations and Computer Use tasks
- Long-horizon financial engineering simulations and predictive modeling
- Complex multi-tool orchestration for enterprise workflows
- Large-scale Agent workflows requiring extreme throughput
- End-to-end complex real-world system manipulation
Model Comparison
Comparison Table 1: GPT 6.1 Terra Economy vs GPT 5.6 Terra Economy
| Model | Input Price | Output Price | Context Window | Max Output | Key Features |
|---|---|---|---|---|---|
| GPT 6.1 Terra Economy | $0.1 | $0.5 | Long context | - | Adaptive dynamic reasoning, Symbolic environment modeling, Computer Use |
| GPT 5.6 Terra Economy | $2 | $12 | 1M tokens | 128K | General flagship capabilities |
Note: The input price of GPT 6.1 Terra Economy is approximately 5% of the previous generation, and the output price is approximately 4%. It also introduces new symbolic environment modeling and system-level manipulation capabilities.
Comparison Table 2: Cross-Vendor Economy/Flagship Comparison
| Model | Developer | Input Price | Output Price | Cache Read | Cache Write |
|---|---|---|---|---|---|
| GPT 6.1 Terra Economy | OpenAI | $0.1 | $0.5 | $0.005 | $0.125 |
| Claude Opus 5.5 Economy | Anthropic | $1.2 | $6 | $0.06 | $1.5 |
| Gemini 4 Argon | $2 | $10 | - | - |
Note: Gemini 4 Argon pricing is a promotional rate ($4/$20 starting in December). Among the three, GPT 6.1 Terra Economy has the lowest pricing, approximately 1/12th of Claude Opus 5.5 Economy and 1/20th of the Gemini 4 Argon promotional price.
Why Choose GPT 6.1 Terra Economy?
- Unmatched Cost-Efficiency: Features the lowest input and output pricing among comparable economy and flagship models, drastically reducing operational costs for large-scale deployments.
- Advanced Agent Capabilities: Integrates adaptive dynamic reasoning and symbolic environment modeling, making it an ideal foundation for next-generation automated Agents.
- System-Level Manipulation: Native Computer Use capabilities allow for autonomous cross-platform GUI operations, enabling end-to-end real-world system control.
- Industrial-Grade Performance: Engineered for extreme throughput and high energy efficiency, balancing top-tier intelligence with the reliability needed for enterprise systems.
- Flexible Integration: Supports OpenAI-compatible Chat Completions API with both streaming (SSE) and non-streaming responses for seamless integration into existing infrastructures.
Specifications
| Field | Value |
|---|---|
| Model Name | GPT 6.1 Terra Economy |
| Developer | OpenAI |
| Model ID | gpt-6.1-terra |
| Model Type | Frontier-level multimodal large language model (Economy channel) |
| Base URL | https://api.icreat.ai/v1 |
| Endpoint | https://api.icreat.ai/v1/chat/completions |
| Authentication | Authorization: Bearer ${ICREAT_API_KEY} |
| Input Modalities | Multimodal (text and other modalities) |
| Output Modalities | Text |
| Context Window | Long context window (see official documentation for exact token count) |
| Thinking Mode | reasoning_effort (low / medium / high) |
| Streaming | Supported (stream=true, SSE) |
| Billing Unit | Per million tokens |
| API Mode | Synchronous POST / Streaming SSE |
Architecture
The GPT 6.1 Terra model utilizes the advanced Terra architecture, which represents a deep fusion of adaptive dynamic reasoning, symbolic environment modeling, native computer vision, and system interaction capabilities. This architectural design allows the model to process and maintain complex environmental states, perform multi-step reasoning, and interact directly with software interfaces. By combining these elements, the Terra architecture enables extreme throughput and end-to-end manipulation of complex real-world systems, distinguishing it from traditional language model designs.
Notes
- The
modelparameter must use the iCreat model code:gpt-6.1-terra. - The Economy edition is a cost-effective channel provided exclusively by the iCreat platform. Its availability is not as stable as the official channel; for production environments, it is recommended to prioritize the official channel and use the Economy edition as a backup retry channel.
- The listed iCreat prices ($0.1/$0.5/$0.005/$0.125) are platform prices. Actual settlement is subject to the platform billing and costUSD.
reasoning_effortcan be set tolow,medium, orhigh.temperatureranges from 0 to 2; when enabling high reasoning effort, it is recommended to keep the default value of 1.0.- Both streaming (
stream=true, SSE) and non-streaming modes are supported. - Official materials have not published the exact context token count; it is described as a "Long context window (see official documentation for exact token count)" to avoid fabricating numbers.
Frequently Asked Questions
How do I call GPT 6.1 Terra Economy?
You can call it via the OpenAI-compatible endpoint at https://api.icreat.ai/v1/chat/completions. Set the model parameter to gpt-6.1-terra, use Bearer token authentication, and it supports both streaming and non-streaming responses.
How are the costs calculated?
The pricing is $0.1 per million tokens for input, $0.5 for output, $0.005 for cache read, and $0.125 for cache write. This is the lowest among comparable economy editions. The usage field in the response provides the token statistics used for billing.
What is the difference between the Economy edition and the official channel?
The Economy edition is a cost-effective channel provided exclusively by the iCreat platform. It offers lower pricing but its availability is not as stable as the official channel. For production environments, it is recommended to prioritize the official channel and use the Economy edition as a backup retry channel.
How should I configure reasoning_effort?
The reasoning_effort parameter has three levels: low, medium, and high. When enabling high reasoning effort, it is recommended to keep the temperature at the default value of 1.0 for optimal performance.
What scenarios is it best suited for?
It excels in long-horizon code refactoring, cross-platform autonomous GUI operations (Computer Use), long-horizon financial engineering simulations, and complex multi-tool orchestration.
What are the differences compared to the previous GPT 5.6 Terra Economy?
The input price is approximately 5% of the previous generation, and the output price is about 4%. Additionally, it introduces new symbolic environment modeling and system-level manipulation capabilities, making it more suitable for automated Agents.