GPT-5.6 Terra

openai

Cross-checked

A+
Coding Index
110.54
Coding tier
A+
Context
1,050,000
Input Price
$2
per 1M tokens
Output Price
$12
per 1M tokens

DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps. Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.

OpenRouter quote 2026-10-11

Capabilities & Recommended Uses

Strengths

  • •Best-in-class deep reasoning for multi-file refactors
  • •Excels at long-horizon agentic coding tasks
  • •Superior architectural design and system planning
  • •Strong tool-use and autonomous task completion

Best For

  • •Autonomous agentic workflows
  • •Large-scale refactoring
  • •System architecture design
  • •Codex CLI complex tasks

Weaknesses

  • •Most expensive model in the GPT-5.6 family
  • •Higher latency due to extended reasoning chains
Benchmark evidence and ranking method · GPT-5.6 Terra

Cross-checked

Terminal-Bench 4.0 · Codex · max: 21.52% · 95% CI ± 3.25%

Artificial Analysis · GPT-5.6 Terra (max)

Test configuration: max

Terminal-Bench 2.1: 88.01% · SciCode: 54.98%

LiveBench · 2026-06-25 · gpt-5.6-terra-max

Coding: 78.25% · Agentic Coding: 54.95%

ModelRank assigns editorial tiers using public coding evidence, not automatic index thresholds or statistically proven classes. Price, speed, context size and sponsorship do not affect tiers.

DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps.

Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.

Data checked: 2026-09-10. Snapshot date is the retrieval date, not necessarily the evaluation date.

Compare with Alternatives

GPT-5.6 Terra vs Claude Opus 4.8 (A+) → GPT-5.6 Terra vs DeepSeek V4.1 Flash (A+) → GPT-5.6 Terra vs Gemini 3.7 Flash (A+) → GPT-5.6 Terra vs Gemini 3.8 Flash (A+) →

Related Analysis & Reviews

GPT-5.6 Deep Dive: The Sol/Terra/Luna Playbook — Which One Earns Your Wallet?

OpenAI dropped GPT-5.6 on July 9, 2026: Sol (flagship), Terra (balanced), Luna (budget). We put all three through coding, knowledge work, and scientific reasoning tests to tell you which one actually matters for your work.

Frequently Asked Questions

What is GPT-5.6 Terra's coding score and ranking tier?

GPT-5.6 Terra by openai is rated as Tier A+ on ModelRank with a coding score of 110.54 (Reference baseline = 100) as a reference index derived from public benchmark evidence. Tiers are editorial assessments; the index does not establish real-world capability differences.

What is the API pricing and context window for GPT-5.6 Terra?

GPT-5.6 Terra features a 1,050,000 token context window. Pricing is $2 per 1M input tokens and $12 per 1M output tokens (OpenRouter quote).

What programming tasks is GPT-5.6 Terra best suited for?

GPT-5.6 Terra is recommended for: Autonomous agentic workflows, Large-scale refactoring, System architecture design, Codex CLI complex tasks. Key strengths include: Best-in-class deep reasoning for multi-file refactors, Excels at long-horizon agentic coding tasks, Superior architectural design and system planning, Strong tool-use and autonomous task completion.

Try GPT-5.6 Terra

OpenRouter →

Last updated: October 11, 2026