OpenAI · GPT-5.6 Terra · July 2026

GPT-5.6 Terra — high-efficiency primary model near GPT-5.5 quality

  • Million-token context
  • Extra-long single replies
  • Near GPT-5.5 quality
  • Balanced throughput and depth
GPT-5.6 Terra

What is GPT-5.6 Terra?

GPT-5.6 Terra is OpenAI’s balanced GPT-5.6 model, released in July 2026. It targets everyday coding, reasoning, and agents: OpenAI positions it to compete with GPT-5.5 performance while sitting between Sol and Luna on cost and throughput. Keep the heaviest, longest jobs on Sol; high-turnover drafts and short-turn automation fit Luna better. On iMini Agent, pick GPT-5.6 Terra to use it.

Vendor
OpenAI
Released
July 2026
Context
1M tokens
Max output
128K tokens
Deep reasoning
Tunable · balanced posture
Best as
Everyday primary on the OpenAI stack

What’s new versus GPT-5.5

Family roles, everyday primary cost, and the shared tool surface—what to check before making Terra your day-to-day go-to.

Quality close to GPT-5.5

OpenAI positions Terra to compete with GPT-5.5 on performance—suited to moving a large share of former single-flagship traffic onto a more balanced choice.

Sits between Sol and Luna

Depth and cost land between Sol and Luna. For new work, ask first whether Sol is worth it—or whether Terra is already steady enough.

Still configured for million-token context

Context and output ceilings match the family’s flagship tier, so long specs, multi-turn history, and tool traces can stay in one conversation.

Access to GPT-5.6 family capabilities

Shares reasoning, tool use, and multi-agent surfaces with the generation—so Agent workflows can switch among Sol / Terra / Luna by task weight.

Official evaluations

Results OpenAI published with GPT-5.6. The shared x-axis is output-token volume. Terra’s story: clearly fewer tokens for scores close to Sol.

Agents' Last Exam: long-horizon professional workflow score
Covers long-horizon workflows across 55 industries. Terra scores 50.4—only 3.2 behind Sol (53.6)—and well above Claude Fable 5 (40.5). High-volume business jobs on Terra is the direct takeaway from this chart.
Artificial Analysis Intelligence Index v4.1 composite intelligence index
Third-party composite intelligence index. Terra’s curve matches or exceeds GPT-5.5 with fewer output tokens—an upgrade path that doesn’t trade away quality for teams already on GPT-5.5.
Artificial Analysis Coding Agent Index v1.1 coding-agent index
Third-party coding-agent index. Terra at 77.4 already tops Claude Fable 5 (77.2) and sits close to Sol (80). Everyday coding jobs don’t need Sol.
Terminal-Bench 2.1: command-line software engineering tasks
Command-line software engineering eval. Terra at 87.4% beats GPT-5.5’s best and Claude Fable 5 (86%). For multi-step terminal engineering, Terra is capable and lean.
BrowseComp: multi-step web retrieval and verification
Multi-step web retrieval. Terra’s curve tracks Sol closely—retrieval, verification, and summarization cover most scenarios on Terra alone.
OSWorld 2.0: graphical desktop computer use
OSWorld 2.0 measures completing tasks in a real GUI. Terra beats Claude Opus 4.8 while using 85% fewer output tokens—desktop automation economics look different.
AutomationBench: end-to-end business workflow pass rate
AutomationBench measures whether end-to-end business workflows finish. Terra’s curve stays above GPT-5.5 and GPT-5.4—multi-step business automation can upgrade directly.
GDPval-AA v2: real knowledge-work Elo
Real knowledge-work Elo. Terra beats GPT-5.5 and does it with less output—reports and material synthesis are Terra’s home ground.

Three common workflows

GPT-5.6 Terra is built as an everyday primary, leaving the heaviest minority of jobs for Sol.

Day-to-day coding & code review

For routine feature work, PR review, and test repair. Focus on stable, checkable changes and verification advice—hand truly hard long-horizon refactors to Sol.

High-volume business & document analysis

For support drafts, internal tool docs, contracts, and long-document summaries. Suited to high throughput that still needs reliable reasoning.

Medium-length agent flows

For multi-step tool use that stays within a controlled number of turns. Pin completion criteria so not every request burns flagship depth.

How to choose vs GPT-5.6 Sol and GPT-5.6 Luna

Three tiers in one generation. The differences are depth ceiling, throughput, and failure cost.

DimensionGPT-5.6 TerraGPT-5.6 SolGPT-5.6 Luna
Context1M tokens1M tokens1M tokens
ReasoningBalanced depthMax depth · ultra availableLighter and faster
Coding / agentsDay-to-day coding & mid-weight agentsHeaviest long-horizon coding & security researchShort-turn automation & drafts
Long tool runsMore balanced completion and throughputFlagship depth + ultraHigh turnover, shorter threads
Speed postureEveryday primary favors balanceCompletion quality and depth firstResponsiveness and cost first
Prefer whenNew everyday coding and high-volume business workHighest failure-cost, heaviest jobsDrafts, classification, and short-turn automation

Using GPT-5.6 Terra on iMini

Free quota, model naming, key specs, and how it differs from Sol and Luna.

Use GPT-5.6 Terra free on iMini Agent

Million-token context, near-flagship quality, built as an everyday primary.

Open GPT-5.6 Terra

No OpenAI API key required.