NOUMENOpen app
NOUMEN

OpenAI · Frontier

GPT 5.6 Terra

Added Jul 9, 2026

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

Use in the app

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.

  • Reasoning
  • Tools
  • Vision
  • Structured output
  • PDF input
Input
Text, Images
Output
Text
Reasoning effort
none · low · medium · high · xhigh · max
Discovery tier
Frontier

Pricing

USD per 1M tokens
Input
$2.00
Output
$12.00
Cache read
$0.20
Cache write
$2.50

Reference prices as published by the model provider. API example

Specifications

Context window
1.1M
Max output
128K
Average output (7 days)
556 tokens
Longer than 52% of 465 models

Side by side

GPT 5.6 Terra compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

GPT 5.6 TerraOpenAIThis modelMiniMax M3.1 FlashMiniMaxRemove
ProviderOpenAIMiniMax
Discovery tierFrontierEfficient
AddedJul 9, 2026Oct 19, 2026
Limits
Context window1.05MBest1.05M
Max output128K524.29KBest
Average output556 tokens1.4K tokens
Pricing, USD per 1M tokens
Input$2.00$0.15Best
Output$12.00$0.60Best
Cache read$0.20$0.015Best
Cache write$2.50—
Performance
Throughput—140.4 tok/s
Time to first token—6.7 s
Request success (24h)100.0%Best99.6%
Benchmark indexes
Intelligence Index42.142.7Best
Coding Index76.7—
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesYes
Structured outputYesNo
PDF inputYesNo
Video inputNoYes
Reasoning effortnone, low, medium, high, xhigh, maxlow, medium, high, xhigh, max

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • GPT 5.6 Terra
  • MiniMax M3.1 Flash

Intelligence Index

  • GPT 5.6 Terra42.1
  • MiniMax M3.1 Flash42.7

GPT 5.6 Terra tested at max reasoning effort

GPT 5.6 Terra: Better than 87% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • GPT 5.6 Terra: 76.7
    • MiniMax M3.1 Flash: —

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • GPT 5.6 Terra: 59.6%
    • MiniMax M3.1 Flash: 72.5%Top

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • GPT 5.6 Terra: 24.5%
    • MiniMax M3.1 Flash: 38.1%Top

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • GPT 5.6 Terra: 1,332 Elo
    • MiniMax M3.1 Flash: 1,473 EloTop

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • GPT 5.6 Terra: 1,452 Elo
    • MiniMax M3.1 Flash: 1,458 EloTop

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • GPT 5.6 Terra: 24.0%Top
    • MiniMax M3.1 Flash: 20.8%

  • AA-LCRv1.1

    Reasoning across long documents

    • GPT 5.6 Terra: 83.0%Top
    • MiniMax M3.1 Flash: 79.7%

  • MLCR-AA

    Long-context reasoning over medical records

    • GPT 5.6 Terra: 27.2%Top
    • MiniMax M3.1 Flash: 16.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GPT 5.6 Terra: 42.9%
    • MiniMax M3.1 Flash: 48.0%Top

  • GPQA Diamond

    Graduate-level science questions

    • GPT 5.6 Terra: 92.5%
    • MiniMax M3.1 Flash: —

  • IFBench

    Following precise output instructions

    • GPT 5.6 Terra: 71.2%
    • MiniMax M3.1 Flash: —

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • GPT 5.6 Terra: 35.4%Top
    • MiniMax M3.1 Flash: 25.8%

  • SciCode

    Scientific computing in Python

    • GPT 5.6 Terra: 55.0%Top
    • MiniMax M3.1 Flash: 53.4%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GPT 5.6 Terra: 57.6%
    • MiniMax M3.1 Flash: —

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GPT 5.6 Terra: 86.3%
    • MiniMax M3.1 Flash: —

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GPT 5.6 Terra: 83.0%Top
    • MiniMax M3.1 Flash: 79.7%

Scores from Artificial Analysis, updated Oct 26, 2026. GPT 5.6 Terra was tested at max reasoning effort; compare scores measured at the same effort.Artificial Analysis

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Prompt cache hits
81.5%
About $0.53 per 1M input tokens with caching
Request success (24h)
100.0%
Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 100.0%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-5.6-terra",
    "reasoning_effort": "medium",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="openai/gpt-5.6-terra",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

OpenAI

Other OpenAI models, starting with the same family.