OpenAI

Tier A · Strong with clear operating rules.

GPT-5.6 Terra

The practical A-tier daily driver for routine delivery work.

API pricing

USD per million tokens · OpenAI API Standard (≤272K input tokens)
Input
$2
Output
$12
Cached input
$0.2
Context window
1.05M
Pricing details and specifications

Try the visual runs

Open the generated scene to test it, or compare that prompt with another model.

9 runs

Editorial verdict

Where this model fits

Back to all benchmarks →

GPT-5.6 Terra is the team’s A-tier default for more mundane implementation work. It costs less than GPT-5.5, and low-reasoning Terra is useful enough that the team rarely needs to fall back to Luna.

Best for

  • Routine coding and delivery
  • Lower-cost implementation
  • Mundane follow-through after a strong plan
  • Daily work in the OpenAI stack

Watch out

  • Not the first choice for the hardest architecture
  • Practical value depends partly on current usage limits and resets
  • Do not confuse a lower reasoning setting with a replacement for review

Why it is ranked here

  1. Terra earns A tier as the practical delivery partner to S-tier Sol.
  2. The team now treats Sol and Terra as its two OpenAI daily drivers, with Terra handling the more routine work.
  3. Current reset behavior helped the value calculation, but the team warned that this can change.

Evidence

2026-09-07

Superbash editorial model ranking

Takeaway: GPT-5.6 Terra is currently placed in Tier A.

The September 2026 editorial roster places GPT-5.6 Terra at rank 6.

Open source →

How GPT-5.6 Terra compares

Three relevant peers, side by side.

  • GPT-5.6 Terra This model
  • Claude Opus 4.8
  • GPT-5.5
  • GPT-5.6 Luna

6 benchmarks · 4 models

SWE-bench Pro

Coding · Higher is better

Source
GPT-5.6 Terra63.4%
Claude Opus 4.869.2%
GPT-5.559.4%
GPT-5.6 Luna62.7%

Terminal-Bench 2.1

Agentic coding · Higher is better

Source
GPT-5.6 Terra87.4%
Claude Opus 4.878.9%
GPT-5.585.6%
GPT-5.6 Luna84.7%

OSWorld 2.0

Computer use · Higher is better

Source
GPT-5.6 Terra50.2%
Claude Opus 4.854.8%
GPT-5.547.5%
GPT-5.6 Luna45.6%

BrowseComp

Tool use · Higher is better

Source
GPT-5.6 Terra87.5%
Claude Opus 4.884.3%
GPT-5.584.4%
GPT-5.6 Luna83.3%

BenchCAD

Computer-aided design · Higher is better

Source
GPT-5.6 Terra62.3%
Claude Opus 4.827.3%
GPT-5.544.4%
GPT-5.6 Luna63.1%

BenchCAD with Python tool

Tool use · Higher is better

Source
GPT-5.6 Terra78.2%
Claude Opus 4.848.1%
GPT-5.559.4%
GPT-5.6 Luna73.9%

Official benchmark profile

Published scores outside our visual tests

OpenAI sourceJuly 2026Source report →
Coding

SWE-bench Pro

63.4%
Agentic coding

Terminal-Bench 2.1

87.4%
Computer use

OSWorld 2.0

50.2%
Full official benchmark table9 scores and peer comparisons
BenchmarkAreaScoreComparison
SWE-bench ProCoding63.4%
GPT-5.6 Terra63.4%
GPT-5.6 Luna62.7%
GPT-5.6 Sol64.6%
GPT-5.559.4%
Terminal-Bench 2.1Agentic coding87.4%
GPT-5.6 Terra87.4%
GPT-5.6 Sol88.8%
GPT-5.585.6%
GPT-5.6 Luna84.7%
OSWorld 2.0Computer use50.2%
GPT-5.6 Terra50.2%
GPT-5.547.5%
Claude Opus 4.854.8%
GPT-5.6 Luna45.6%
BrowseCompTool use87.5%
GPT-5.6 Terra87.5%
Claude Mythos Preview87.9%
Claude Mythos 588.0%
Gemini 3.1 Pro85.9%
BenchCADComputer-aided design62.3%
GPT-5.6 Terra62.3%
GPT-5.6 Luna63.1%
GPT-5.6 Sol70.6%
GPT-5.544.4%
BenchCAD with Python toolTool use78.2%
GPT-5.6 Terra78.2%
GPT-5.6 Luna73.9%
GPT-5.6 Sol83.4%
GPT-5.559.4%
GPQA DiamondAcademic reasoning92.9%
GPT-5.6 Terra92.9%
Claude Fable 592.6%
GPT-5.6 Luna92.3%
GPT-5.593.6%
FrontierMath Tier 1-3 v2Math84.9%
GPT-5.6 Terra84.9%
GPT-5.585.3%
Claude Fable 587.0%
GPT-5.6 Sol89.0%
FrontierMath Tier 4 v2Math68.3%
GPT-5.6 Terra68.3%
GPT-5.572.5%
GPT-5.6 Luna58.5%
Claude Opus 4.856.1%
Sources, pricing details and methodology

Verified model facts

Model specifications

Pricing source · checked 2026-09-08 ↗
Status
Current
API model ID
gpt-5.6-terra
Context
1.05M
Max output
128K
License
Not publicly verified
Access route
Not publicly verified
Modalities
Not publicly verified
Hardware
Not publicly verified
OpenAI API Standard (≤272K input tokens) · USD / 1M tokens
$2 input · $0.2 cached input · $2.5 cache write · $12 output

Above 272K input tokens, the full request costs $4 input, $0.4 cached input, $5 cache write, and $18 output per 1M tokens. Batch, Flex, Fast mode, and regional pricing differ.

Benchmark sources

OpenAI positions Terra as the capable lower-cost GPT-5.6 option. These rows use the shared GPT-5.6 comparison table so the scores line up against Sol, Luna, GPT-5.5, Claude, and Gemini where published.

GPT-5.6: Frontier intelligence that scales with your ambition

Evaluation settings

  • Shared OpenAI GPT-5.6 comparison table.
  • High-effort computer-use comparison table.
  • High-effort browsing-agent comparison table.
  • Vision2Code score without Python tool.
  • Vision2Code score with Python tool.
  • Shared reasoning benchmark table.