GPT 5.6 Terra
gpt-5.6-terraCompare gpt-5.6-terra API pricing, supported endpoints, capabilities and access options on Modelsell.
- Starting price
- Input / Output · 1M
- Context
- 1.1M
- Maximum input window
- Max output
- 128K
- Maximum tokens per response
- Modalities
- →
- Knowledge cutoff
- Feb 2026
- Released
- Jul 2026
Pricing by Supplier
Capabilities / Supported modalities
Provider & data privacy
o200k_basePerformance
Benchmarks
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis 2026-09-30·GPT 5.6 Terra
This model is not included in the current benchmark snapshot.
Missing models or measurements are not zero scores.
Benchmark charts preserve the source model selection and reasoning settings. Missing models or measurements are not zero scores, and benchmark cost or speed is not this site’s service commitment.
About GPT 5.6 Terra
为日常业务搭建完整的处理流程
GPT-5.6 Terra 适合需要兼顾效果与使用成本的工作流，例如内部知识助手、客户问题整理、文档提取、代码解释和业务数据分析。它支持文字与图片输入，输出文本，也能以固定结构返回结果，方便接入已有系统。
知识库问答可以让它先检索相关材料，再针对用户问题形成简洁回答，并保留所依据的文档位置。面对表单截图、产品页面或流程图，可以把图片与文字要求一起提供，让它提取关键信息、解释结构或整理成后续操作清单。对于需要计算的结论，提供原始数据并配合代码工具更便于复查。
在 Responses API 中，它支持文件搜索、网页搜索、代码解释器以及项目与界面操作等工具。应用可以把检索、分析和业务查询连接成多步任务；函数调用则适合对接团队自己的接口。将工具返回的真实结果交给模型，再让它生成最终说明，可以让回答与实际业务状态保持一致。
推理投入可以从 none 到较高强度调整。固定字段提取或短回复可以先尝试较低投入；有多个限制条件的判断，再增加思考深度。投入使用前，可用一组真实业务样例检查遗漏、格式和回答依据，找到满足需求的设置。
Use cases and prompting
内部知识助手示例
“请使用知识库回答员工关于报销材料的问题。先找出适用制度和例外条件，再给出需要提交的材料清单。每项结论附文档名称或段落位置；制度没有覆盖的情况列为待咨询事项，不要补写规则。”
常见问题
- 怎样让回答只依据公司资料？先用文件检索取得相关内容，在提示词中明确材料范围，并要求保留引用位置。
- 字段抽取需要长篇思考吗？可以先使用 none 或较低投入，配合固定输出结构验证结果。
- 能查询内部系统吗？应用需要配置对应函数和权限，并把查询返回结果传回模型。
API access
API documentation
Code samples
/v1/chat/completions| Parameter | Type | Default / range | Description |
|---|---|---|---|
temperature | number | = 10 ~ 2 | Sampling temperature; lower is more deterministic |
top_p | number | = 10 ~ 1 | Nucleus sampling probability mass |
max_tokens | integer | >= 1 | Maximum number of tokens in the response |
frequency_penalty | number | = 0-2 ~ 2 | Penalises repetition of frequent tokens |
presence_penalty | number | = 0-2 ~ 2 | Encourages introducing new topics |
stop | array | — | Up to 4 strings that stop generation |
seed | integer | — | Deterministic sampling seed (best-effort) |
n | integer | = 1>= 1 | Number of completions to generate |
stream | boolean | = false | Stream tokens via Server-Sent Events |
response_format | object | — | Force JSON object or schema-conforming output |
tools | array | — | Tool / function declarations the model may call |
tool_choice | string | autononerequired | Tool-choice policy or specific tool name |
logprobs | boolean | = false | Return per-token log probabilities |
top_logprobs | integer | 0 ~ 20 | Number of top log probabilities returned per token |
logit_bias | object | — | Per-token logit bias map |
user | string | — | End-user identifier for abuse monitoring |
Replace <YOUR_API_KEY> with the API key from your token settings.
Authentication
All requests must include Authorization: Bearer <TOKEN> header. Anthropic-formatted endpoints accept the x-api-key header instead.
Generate tokens from the Tokens page; you can scope them to specific models, groups, IPs, and rate-limits.
Supported parameters
| Parameter | Type | Default / range | Description |
|---|---|---|---|
temperature | number | = 10 ~ 2 | Sampling temperature; lower is more deterministic |
top_p | number | = 10 ~ 1 | Nucleus sampling probability mass |
max_tokens | integer | >= 1 | Maximum number of tokens in the response |
frequency_penalty | number | = 0-2 ~ 2 | Penalises repetition of frequent tokens |
presence_penalty | number | = 0-2 ~ 2 | Encourages introducing new topics |
stop | array | — | Up to 4 strings that stop generation |
seed | integer | — | Deterministic sampling seed (best-effort) |
n | integer | = 1>= 1 | Number of completions to generate |
stream | boolean | = false | Stream tokens via Server-Sent Events |
response_format | object | — | Force JSON object or schema-conforming output |
tools | array | — | Tool / function declarations the model may call |
tool_choice | string | autononerequired | Tool-choice policy or specific tool name |
logprobs | boolean | = false | Return per-token log probabilities |
top_logprobs | integer | 0 ~ 20 | Number of top log probabilities returned per token |
logit_bias | object | — | Per-token logit bias map |
user | string | — | End-user identifier for abuse monitoring |
Rate limits
| Supplier | RPM | TPM | RPD |
|---|---|---|---|
| Azure | Unlimited | Unlimited | Unlimited |
| default | Unlimited | Unlimited | Unlimited |
| GPT官+AZ 混合 | Unlimited | Unlimited | Unlimited |
| GPT特价 | Unlimited | Unlimited | Unlimited |
| OpenAI | Unlimited | Unlimited | Unlimited |
No restriction
Frequently asked questions about gpt-5.6-terra
What is gpt-5.6-terra?
Compare gpt-5.6-terra API pricing, supported endpoints, capabilities and access options on Modelsell.
How do I call gpt-5.6-terra?
Create an API key with access to gpt-5.6-terra, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.
How is gpt-5.6-terra priced?
Pricing depends on the selected provider group and the model billing unit. The current input, output, request, or media prices are shown on this page before sign-up.
What is the context window of gpt-5.6-terra?
The model catalog lists a context window of 1050000 tokens. Check the selected endpoint for request limits.
What is the maximum output of gpt-5.6-terra?
The model catalog lists a maximum output of 128000 tokens. Your request settings may set a lower limit.
How should I evaluate gpt-5.6-terra for my project?
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.