OpenAI · Frontier
GPT 5.6 Terra
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 473 models
Side by side
Compare models
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Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
Intelligence Index
42.1
Tested at max reasoning effort
Better than 87% of 326 scored models
Indexes
Coding Index
76.7Composite of the coding evaluations
Better than 94% of 168 scored models
Agentic work
AutomationBench-AA
59.6%Workflow automation, penalized for guardrail violations
Better than 80% of 173 scored models
AutomationBench-AA tasks completed
24.5%Workflows finished end to end without a guardrail violation
Better than 70% of 173 scored models
AA-Briefcasev1.1
1,332 EloAgentic knowledge work, rated head to head
Better than 70% of 166 scored models
GDPval-AAv2.1
1,452 EloEconomically valuable occupational tasks, rated head to head
Better than 72% of 187 scored models
Document reasoning
GDP.pdf
24.0%Professional reasoning over PDF documents, all-pass rate
Better than 85% of 171 scored models
AA-LCRv1.1
83.0%Reasoning across long documents
Better than 90% of 309 scored models
MLCR-AA
27.2%Long-context reasoning over medical records
Better than 89% of 121 scored models
Reasoning and knowledge
Humanity’s Last Exam
42.9%Expert-level questions across academic fields
Better than 85% of 323 scored models
GPQA Diamond
92.5%Graduate-level science questions
Better than 88% of 291 scored models
IFBench
71.2%Following precise output instructions
Better than 74% of 215 scored models
Coding
Terminal-Benchv4.0
35.4%Practical software engineering in a terminal
Better than 84% of 171 scored models
SciCode
55.0%Scientific computing in Python
Better than 74% of 174 scored models
Legacy evaluations
Terminal-Bench Hard
57.6%Earlier terminal task suite
Better than 96% of 212 scored models
τ²-Bench Telecom
86.3%Tool use in a customer-support simulation
Better than 70% of 214 scored models
AA-LCR (unversioned)
83.0%Long-context reasoning, earlier grading
Better than 90% of 309 scored models
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
- #15Coding16.9%
Ranks among Noumen catalog models on Use cases leaderboards. Only top-20 placements are listed.
- #15Vision Style Control · Homework1321.1
- #10Document Overall1471.6
- #11Document Style Control Overall1476.7
Ranks among Noumen catalog models on LMArena leaderboards. Only top-20 placements are listed.LMArena
- #13Epoch Capabilities Index160.1
Ranks among Noumen catalog models on Epoch AI leaderboards. Only top-20 placements are listed.Epoch AI
- #13ARC-AGI-196.5%
- #13ARC-AGI-283.9%
- #12ARC-AGI-3 (Default harness)0.8%
Ranks among Noumen catalog models on ARC Prize leaderboards. Only top-20 placements are listed.ARC Prize
- #14EQ-Bench 41224
- #17Creative Writing v31856
Ranks among Noumen catalog models on EQ-Bench leaderboards. Only top-20 placements are listed.EQ-Bench
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.
- Throughput
- 245.5 tok/s
- Faster than 89% of 260 models
- Time to first token
- 2.2 s
- Quicker than 70% of 260 models
- Prompt cache hits
- 90.9%
- About $0.36 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.
- 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.
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
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