OpenAI · Efficient
GPT Luna Latest
Compatibility alias that routes to GPT 6 Luna, the latest supported GPT Luna model.
- Reasoning
- Tools
- Vision
- Structured output
- PDF input
- Input
- Text, Images
- Output
- Text
- Reasoning effort
- none · low · medium · high · xhigh · max
- Discovery tier
- Efficient
Pricing
USD per 1M tokens- Input
- $0.10
- Output
- $0.50
- Cache read
- $0.01
- Cache write
- $0.13
Reference prices as published by the model provider. API example
Specifications
- Context window
- 1.1M
- Max output
- 128K
- Average output (7 days)
- 447 tokens
- Longer than 44% 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
29.9
Tested at medium reasoning effort
Better than 73% of 326 scored models
Agentic work
AutomationBench-AA
40.5%Workflow automation, penalized for guardrail violations
Better than 56% of 173 scored models
AutomationBench-AA tasks completed
10.2%Workflows finished end to end without a guardrail violation
Better than 53% of 173 scored models
AA-Briefcasev1.1
1,097 EloAgentic knowledge work, rated head to head
Better than 52% of 166 scored models
GDPval-AAv2.1
1,263 EloEconomically valuable occupational tasks, rated head to head
Better than 56% of 187 scored models
Document reasoning
GDP.pdf
13.8%Professional reasoning over PDF documents, all-pass rate
Better than 62% of 171 scored models
AA-LCRv1.1
78.3%Reasoning across long documents
Better than 69% of 309 scored models
MLCR-AA
18.3%Long-context reasoning over medical records
Better than 73% of 121 scored models
Reasoning and knowledge
Humanity’s Last Exam
28.3%Expert-level questions across academic fields
Better than 58% of 323 scored models
Coding
Terminal-Benchv4.0
2.5%Practical software engineering in a terminal
Better than 49% of 171 scored models
SciCode
50.9%Scientific computing in Python
Better than 53% of 174 scored models
Legacy evaluations
AA-LCR (unversioned)
78.3%Long-context reasoning, earlier grading
Better than 69% of 309 scored models
Scores from Artificial Analysis, updated Oct 26, 2026. GPT Luna 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
- 225.9 tok/s
- Faster than 87% of 260 models
- Time to first token
- 3.4 s
- Quicker than 47% of 260 models
- Prompt cache hits
- 68.2%
- About $0.0386 per 1M input tokens with caching
- Request success (24h)
- 99.9%
- 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-luna-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-luna-latest",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)OpenAI
Related models
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