OpenAI
GPT-6.1 Sol
gpt-6.1-sol
Total Context
1.1M
Max Output
128K
Released
N/A
Input$2 / M tokens
Output$10 / M tokens
GPT-5.6 Terra
gpt-5.6-terraGPT-5.6 Terra is the general-purpose version of the Terra series. It is suitable for everyday conversation, text generation, summarization, information extraction, lightweight reasoning, and coding assistance. Terra offers a practical balance between general capability, response efficiency, and cost. It can be used for chat assistants, content tools, office automation, knowledge-base Q&A, and batch text-processing workflows. For fast iteration or cost-sensitive applications, Terra is a strong default option within the Terra series.
Context Window
1.1M tokens
Maximum Output
128K tokens
Release Date
Jul 9, 2026
Modalities
GPT-5.6 Terra Pricing
| Token Tier | Input Price | Output Price | Cache Read | Cache Create 5m |
|---|---|---|---|---|
| <=272K | $2.5/M | $15/M | $0.275/M | $3.125/M |
| >272K | $5/M | $22.5/M | $0.5/M | $6.25/M |
GPT-5.6 Terra API Capabilities
Reasoning
Supported
Tool calling
Supported
Temperature parameter
Not supported
Attachments
Supported
Knowledge Base
2026-02-16
Endpoint Protocols
Completions API
GPT-5.6 Terra Model Highlights
GPT-5.6 Terra balances reasoning capability and operating cost while retaining long-context processing and image understanding.
Configurable Reasoning
Reasoning effort ranges from none through max, allowing applications to adjust analytical depth to task complexity.
Long-Context Processing
Its 1,050,000-token context window supports consolidated analysis of extensive documents, repositories and conversation histories.
Visual Understanding
Image input enables the model to interpret screenshots, diagrams and photographed content together with textual instructions.
GPT-5.6 Terra Use Cases
GPT-5.6 Terra is suited to routine software development, document intelligence and multimodal business workflows that need balanced reasoning.
Software Development
Generate and revise code, explain unfamiliar components and propose scoped changes across substantial project context.
Document Knowledge Extraction
Process long document collections to extract facts, connect related passages and create concise structured summaries.
Visual Document Analysis
Interpret charts, screenshots and scanned pages with their surrounding text to extract findings and answer targeted questions.
How to Use GPT-5.6 Terra via the TokenHub API
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)GPT-5.6 Terra Benchmarks
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 45.6 |
| Artificial Analysis Coding Index | Artificial Analysis software task aggregate | 64.7 |
| Knowledge & Reasoning | ||
| GPQA | Advanced science problem solving | 87.2% |
| HLE | Broad expert-level exam set | 31.6% |
| Coding & Engineering | ||
| SciCode | Scientific coding challenges | 49.7% |
| Instruction Following & Agent Tasks | ||
| IFBench | Prompt constraint adherence | 62.2% |
| AA-LCR | Long-context reasoning | 68% |
| τ²-Bench | Agent workflow tasks | 72.8% |
Metrics sourced from Artificial Analysis
GPT-5.6 Terra FAQs
Common questions about using GPT-5.6 Terra on TokenHub.
What is GPT-5.6 Terra?+
GPT-5.6 Terra is a GPT-5.6 Terra-series model exposed through TokenHub. It is intended for users who need a general AI model for chat, reasoning, writing and API-based workflows.
What is GPT-5.6 Terra best for?+
It is suitable for conversational assistants, content drafting, summarization, structured data extraction, code help and multi-step task automation.
What are the strengths of GPT-5.6 Terra?+
Its strengths are general-purpose task coverage, clear instruction following and flexible integration through TokenHub. The standard version is generally a practical choice for everyday usage, quick iteration and cost-conscious workloads.
What limitations or tradeoffs should I consider with GPT-5.6 Terra?+
As with any AI model, review important outputs for accuracy, test prompts with your own data and compare latency, cost and quality against alternatives before production use.
How do I use GPT-5.6 Terra through the TokenHub API?+
Select "GPT-5.6 Terra" as the model in your TokenHub request, use your account endpoint and credentials, and set parameters such as temperature, max tokens and streaming according to your application needs.
How should I choose between GPT-5.6 Terra and related GPT-5.6 models?+
Start with a small evaluation set that reflects your real tasks. Choose the model that gives the best balance of answer quality, reliability, latency and cost for your workload.
Ready to use GPT-5.6 Terra?
Use one API key to access GPT-5.6 Terra and more AI models through TokenHub.