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GPT 5.6 Terra

openai/gpt-5.6-terra
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GPT 5.6 Terra

openai/gpt-5.6-terra
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GPT-5.6 Terra is the balanced model in OpenAI's GPT-5.6 series, positioned between flagship Sol and cost-efficient Luna. It is suited for everyday coding, reasoning, agentic work, and general professional tasks.

Added Jul 9, 2026

Context Window

1.1M

Max Output

128K

Input Price (Auto)

$2.00/1M

Output Price (Auto)

$12.00/1M

Cache Read (Auto)

$0.20/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

42.1

Better than 94% of models compared

Coding Index

76.7

Better than 96% of models compared

Agentic Index

43.2

Better than 86% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

59.6%

Better than 87% of models compared

Harvey LAB-AA

Legal agentic work criterion pass rate

85.2%

Better than 48% of models compared

AA-Briefcase

Agentic knowledge work (Elo)

1334 Elo

Better than 76% of models compared

GDPval-AA v2

Economically valuable tasks (Elo)

1432 Elo

Better than 81% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

24.0%

Better than 85% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

83.0%

Better than 96% of models compared

MLCR-AA

Medical long-context reasoning

31.7%

Better than 83% of models compared

Reasoning

HLE

Humanity's Last Exam

42.9%

Better than 93% of models compared

IFBench

Instruction-following benchmark

71.2%

Better than 87% of models compared

CritPt

Research-level physics reasoning

30.0%

Coding

Terminal-Bench v4.0

Practical coding and terminal tasks

35.4%

Better than 88% of models compared

SciCode

Python programming for scientific computing

55.0%

Better than 77% of models compared

Knowledge

AA-Omniscience Accuracy

Proportion of correctly answered questions

46.8%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

87.9%

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

92.5%

Better than 94% of models compared

Terminal-Bench Hard (legacy)

Agentic coding and terminal use

57.6%

Better than 97% of models compared

T²-Bench Telecom (legacy)

Conversational AI agents in dual-control scenarios

86.3%

Better than 79% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

83.0%

Better than 96% of models compared

GDPval-AA (unversioned / legacy)

Economically valuable tasks

46.6%

Last updated Sep 28, 2026

Artificial Analysis

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