Skip to content
AI Dev Toolkit.
Esc
  • AI Token CounterCount tokens for GPT, Claude, Gemini, DeepSeek, Qwen and more.Tool
  • LLM API Cost CalculatorEstimate per-request, daily and monthly API costs.Tool
  • AI Model ComparisonCompare prices, context windows and features across models.Tool
  • AI Model Pricing PagesSpecs, real costs and cheaper alternatives for popular models.Tool
  • Context Window CheckerSee whether your text fits each model’s context window.Tool
  • Subscription vs API CalculatorFind out whether a chat plan or the API is cheaper for you.Tool
  • GPU / VRAM CalculatorCheck how much VRAM a local model needs and which GPUs fit.Tool
  • Prompt Caching CalculatorEstimate savings from prompt caching.Tool

OpenAI · Model

GPT-5.6 Terra pricing, context window and specs

GPT-5.6 Terra costs $2 per million input tokens and $12 per million output tokens, and reads up to 1,050,000 tokens per request. By blended price it is number 7 of OpenAI’s 10 current models here, counting from the cheapest.

Input / 1M
$2
Output / 1M
$12
Cached / 1M
$0.20
Context
1,050,000
Max output
128,000
Released
2026-07-09

Estimate your cost with GPT-5.6 TerraCompare all OpenAI modelsCount tokens for GPT-5.6 Terra

Pricing

GPT-5.6 Terra API pricing

Price per 1M tokensInputOutput
Standard$2$12
Cached input (read)$0.20–
Cache write$2.50–
Batch API$1$6
Prompts of 272,000+ tokens$4$18

Output costs 6.0× the input price, so long replies drive the bill more than long prompts. If your requests share a long fixed prefix, such as a system prompt or tool definitions, caching cuts that part to 10% of the normal input price. Once a single prompt reaches 272,000 tokens, the whole request is billed at the higher long-context rate shown above.

Examples

What GPT-5.6 Terra costs in practice

WorkloadTokens in / outRequests/dayPer requestPer month
Support chatbot50% cached1,500 / 4001,000$0.00645$196.19
RAG app20% cached6,000 / 500500$0.0158$240.90
Coding agent80% cached40,000 / 2,000200$0.0464$282.27
Document summariserbatch8,000 / 600300$0.0116$105.85

Change any number in the cost calculator.

Context

Context window

GPT-5.6 Terra accepts up to 1,050,000 tokens per request, roughly 787,500 English words or 1,575 pages. That budget is shared between your prompt and the reply, and a single reply is capped at 128,000 tokens.

Filling the whole window with one prompt costs about $4.20 at list price, so for repeated long-document work, retrieval (sending only the relevant parts) or prompt caching is usually much cheaper.

Check whether your text fits GPT-5.6 Terra’s window.

Features

Capabilities

Image input
Yes
Tool / function calling
Yes
Reasoning mode
Yes
Prompt caching
Yes
Structured output
Yes
Open weights
No
Accepts
file, image, text
Knowledge cutoff
2026-02-16

As declared by the provider’s API. It shows a feature exists, not how well it works.

API

GPT-5.6 Terra model ID

OpenRouter
openai/gpt-5.6-terra
OpenAI API
gpt-5.6-terra (pinned)

OpenAI lists GPT-5.6 Terra as current. Every GPT model ID, with aliases and snapshots.

OpenAI

Where GPT-5.6 Terra sits in OpenAI’s line-up

Ranked by blended price (three parts input to one part output, $4.50 per 1M for GPT-5.6 Terra), it is number 7 of OpenAI’s 10 current models here, counting from the cheapest. One step down, GPT-4o costs $4.375 blended (3% less). Unlike GPT-5.6 Terra, it reads up to 128,000 tokens (1,050,000 here), caps a reply at 16,384 tokens (128,000 here) and has no reasoning mode. One step up, GPT-5.5 costs $11.25 (2.5× as much). It has the same published limits and features as GPT-5.6 Terra. See every OpenAI model and price

ModelInput / 1MOutput / 1MContextReleased
gpt-oss-120b$0.037$0.17131,0722025-08-05
GPT-6 Luna$0.10$0.501,050,0002026-09-22
GPT-4o-mini$0.15$0.60128,0002024-07-18
GPT-5.4 Mini$0.75$4.50400,0002026-03-17
GPT-6.1 Sol$2$101,050,0002026-09-29
GPT-4o$2.50$10128,0002024-05-13
GPT-5.6 Terra (this page)$2$121,050,0002026-07-09
GPT-5.5$5$301,050,0002026-04-24
GPT-6 Astra$10$501,050,0002026-09-04
GPT-5.5 Pro$30$1801,050,0002026-04-24

OpenAI’s current models with a page here, cheapest first. Older and superseded models are listed on the provider page and in the comparison table.

Save

Cheaper alternatives

Current models from major providers, one per provider, that keep image input, tool calling, a reasoning mode, a usable context window and output limit. Compared by blended price.

Compare

Similarly priced models

Current models from other major providers, closest blended price.

FAQ

GPT-5.6 Terra questions

How much does GPT-5.6 Terra cost?

GPT-5.6 Terra costs $2 per million input tokens and $12 per million output tokens, with cached input at $0.20. A typical chatbot reply (1,500 tokens in, 400 out) costs about $0.0078. Use the LLM cost calculator for your own workload.

What is GPT-5.6 Terra’s context window?

1,050,000 tokens, about 787,500 English words or 1,575 printed pages, shared between your prompt and the reply. A single reply can be up to 128,000 tokens.

Does GPT-5.6 Terra support prompt caching and batch requests?

Yes, cached input is billed at $0.20 per million tokens (10% of the normal input price), and writing a prompt to the cache costs $2.50 per million tokens. A batch API is available at $1 input and $6 output per million tokens.

What are cheaper alternatives to GPT-5.6 Terra?

With the same essentials (image input and tool calling), the cheapest options are GLM 4.6V (90% cheaper), Qwen3.7 Plus (88% cheaper), Command A+ (87% cheaper). Cheaper doesn’t mean equivalent, so test them on your own prompts.

What is the API model ID for GPT-5.6 Terra?

On OpenRouter it is openai/gpt-5.6-terra. In OpenAI’s own API, use gpt-5.6-terra; OpenAI lists the model as current. The GPT model ID list has every alias and snapshot. Pass the ID as the model value in each request.

Is GPT-5.6 Terra open source?

No, GPT-5.6 Terra is only available through OpenAI’s API and partners; its weights aren’t published.

Updated

Sources: OpenRouter models API and LiteLLM model prices and context windows, checked daily; open-weight prices are typical hosted prices. Confirm critical numbers on OpenAI’s pricing page. See our methodology.