openai

OpenAI: GPT-5.6 Terra

openai/gpt-5.6-terra

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

According to OpenRouter's catalog, openai/gpt-5.6-terra is a text-output model in OpenAI's GPT-5.6 series that accepts text, images, and files. The catalog places it between the Sol and Luna tiers and describes it as suited to everyday coding, reasoning, and agentic work. It lists a very large context window, adjustable reasoning effort, and support for tools and structured outputs. An independent model card was not included in this source pack, so these claims and the reported benchmark indicators require validation for a target workload.[1]

Strengths

The catalog reports text, image, and file inputs with text output.[1]
It lists a very large context window and several reasoning-effort levels.[1]
It reports controls for tools, tool choice, structured outputs, response format, seed, verbosity, and token limits.[1]

Limitations

Evidence is limited to OpenRouter's catalog; an independent model card was not available in this source pack.[1]
Catalog descriptions and reported benchmark indicators are not workload-specific measurements; quality, latency, reliability, and total cost require validation.[1]
The supplied evidence does not establish license terms, hardware requirements, safety properties, or detailed input constraints.[1]

Where to use it

May be worth evaluating for everyday coding, reasoning, and agentic work.[1]
Could suit applications that need tool calls or structured outputs.[1]
Potentially useful for document- or image-assisted tasks where long context matters.[1]

Sources

[1] OpenRouter catalog · OpenAI: GPT-5.6 TerraSources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...

Specifications

Model ID: openai/gpt-5.6-terra
Canonical ID: openai/gpt-5.6-terra-20260709
Creator: openai
Added to OpenRouter: 09.07.2026
Context length: 1,050,000
Modality: text+image+file->text
Input modalities: file, image, text
Output modalities: text
Token pricing: USD per 1M tokens: in $2 / out $12
Knowledge cutoff: 16.02.2026
Expiration date: —

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

Task	Grade	Source-declared capability
General quality	BB — next 30% of the cohort	reasoning: optional · default medium · efforts: max, xhigh, high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort
Coding	SS — top 10% of the cohort	—
Agents	AA — next 20% of the cohort	parameters: structured_outputs, tool_choice, tools
Writing	No measurement	output: text
Reasoning	No measurement	reasoning: optional · default medium · efforts: max, xhigh, high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort
Document analysis	No measurement	input: file
Vision	No measurement	input: image
Image generation	No measurement	—
Audio	No measurement	—
Video	No measurement	—
Embeddings	No measurement	—

Evaluations

Source	Benchmark	Value	Grade	Data retrieved
Artificial Analysis	Intelligence index	32.3	BB — next 30% of the cohort	13.11.2026
Artificial Analysis	Coding index	76.7	SS — top 10% of the cohort	13.11.2026
Artificial Analysis	Agentic index	43.2	AA — next 20% of the cohort	13.11.2026

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

S — S — top 10% of the cohort
A — A — next 20% of the cohort
B — B — next 30% of the cohort
C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

Provider	Context length	Price in /1M	Price out /1M	Latency p50 (30m, s)	Throughput p50 (30m, tok/s)	Uptime (30m)
OpenAI	1,050,000	$1	$6	—	—	100%
Azure	1,050,000	$2	$12	—	—	100%
OpenAI	1,050,000	$2	$12	—	—	100%
Azure	1,050,000	$2.2	$13.2	—	—	—
Amazon Bedrock	1,050,000	$2.2	$13.2	—	—	100%
Azure	1,050,000	$2.2	$13.2	—	—	100%
OpenAI	1,050,000	$4	$24	—	—	100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.