OpenAI · Frontier
GPT Terra Latest
Compatibility alias that routes to GPT 5.6 Terra, the latest supported GPT Terra model.
- 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)
- 223 tokens
- Longer than 24% of 473 models
Side by side
Compare models
Put GPT Terra Latest next to up to three other models. The comparison stays in the link, so you can share it.
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
Intelligence Index
30.1
Tested at medium reasoning effort
Better than 73% of 326 scored models
Indexes
Coding Index
64.7Composite of the coding evaluations
Better than 66% of 168 scored models
Agentic work
AutomationBench-AA
33.5%Workflow automation, penalized for guardrail violations
Better than 50% of 173 scored models
AutomationBench-AA tasks completed
7.2%Workflows finished end to end without a guardrail violation
Better than 49% of 173 scored models
AA-Briefcasev1.1
1,038 EloAgentic knowledge work, rated head to head
Better than 46% of 166 scored models
GDPval-AAv2.1
1,266 EloEconomically valuable occupational tasks, rated head to head
Better than 57% of 187 scored models
Document reasoning
GDP.pdf
17.0%Professional reasoning over PDF documents, all-pass rate
Better than 66% of 171 scored models
AA-LCRv1.1
74.0%Reasoning across long documents
Better than 58% of 309 scored models
MLCR-AA
22.8%Long-context reasoning over medical records
Better than 86% of 121 scored models
Reasoning and knowledge
Humanity’s Last Exam
33.3%Expert-level questions across academic fields
Better than 65% of 323 scored models
GPQA Diamond
87.2%Graduate-level science questions
Better than 69% of 291 scored models
IFBench
62.2%Following precise output instructions
Better than 60% of 215 scored models
Coding
Terminal-Benchv4.0
1.0%Practical software engineering in a terminal
Better than 37% of 171 scored models
SciCode
50.5%Scientific computing in Python
Better than 51% of 174 scored models
Legacy evaluations
τ²-Bench Telecom
72.8%Tool use in a customer-support simulation
Better than 55% of 214 scored models
AA-LCR (unversioned)
74.0%Long-context reasoning, earlier grading
Better than 58% of 309 scored models
Scores from Artificial Analysis, updated Oct 26, 2026. GPT Terra Latest was tested at medium 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.
- 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
- 82.5%
- About $0.52 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-terra-latest",
"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-terra-latest",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)OpenAI
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