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OpenAI · Efficient

GPT Luna Latest

Added Sep 11, 2026

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Use in the app

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 465 models

Side by side

GPT Luna Latest compared

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

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GPT Luna LatestOpenAIThis modelClaude Sonnet 4.6 ThinkingAnthropicRemove
ProviderOpenAIAnthropic
Discovery tierEfficientFrontier
AddedSep 11, 2026Feb 17, 2026
Limits
Context window1.05MBest1M
Max output128K128K
Average output447 tokens598 tokens
Pricing, USD per 1M tokens
Input$0.10Best$3.00
Output$0.50Best$15.00
Cache read$0.01Best$0.30
Cache write$0.13—
Performance
Throughput513.5 tok/sBest208.2 tok/s
Time to first token7.5 s4.3 sBest
Request success (24h)99.9%100.0%Best
Benchmark indexes
Intelligence Index29.930.1Best
Coding Index—63.0
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesYes
Structured outputYesYes
PDF inputYesYes
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 Luna Latest
  • Claude Sonnet 4.6 Thinking

Intelligence Index

  • GPT Luna Latest29.9
  • Claude Sonnet 4.6 Thinking30.1

GPT Luna Latest tested at medium reasoning effort

GPT Luna Latest: Better than 73% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • GPT Luna Latest: —
    • Claude Sonnet 4.6 Thinking: 63.0

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • GPT Luna Latest: 40.5%Top
    • Claude Sonnet 4.6 Thinking: 20.1%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • GPT Luna Latest: 10.2%Top
    • Claude Sonnet 4.6 Thinking: 3.7%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • GPT Luna Latest: 1,097 EloTop
    • Claude Sonnet 4.6 Thinking: 1,062 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • GPT Luna Latest: 1,263 EloTop
    • Claude Sonnet 4.6 Thinking: 1,233 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • GPT Luna Latest: 13.8%
    • Claude Sonnet 4.6 Thinking: 15.8%Top

  • AA-LCRv1.1

    Reasoning across long documents

    • GPT Luna Latest: 78.3%
    • Claude Sonnet 4.6 Thinking: 80.0%Top

  • MLCR-AA

    Long-context reasoning over medical records

    • GPT Luna Latest: 18.3%Top
    • Claude Sonnet 4.6 Thinking: 7.8%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GPT Luna Latest: 28.3%
    • Claude Sonnet 4.6 Thinking: 33.6%Top

  • GPQA Diamond

    Graduate-level science questions

    • GPT Luna Latest: —
    • Claude Sonnet 4.6 Thinking: 87.5%

  • IFBench

    Following precise output instructions

    • GPT Luna Latest: —
    • Claude Sonnet 4.6 Thinking: 56.6%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • GPT Luna Latest: 2.5%
    • Claude Sonnet 4.6 Thinking: 3.0%Top

  • SciCode

    Scientific computing in Python

    • GPT Luna Latest: 50.9%Top
    • Claude Sonnet 4.6 Thinking: 50.1%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GPT Luna Latest: —
    • Claude Sonnet 4.6 Thinking: 53.0%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GPT Luna Latest: —
    • Claude Sonnet 4.6 Thinking: 75.7%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GPT Luna Latest: 78.3%
    • Claude Sonnet 4.6 Thinking: 80.0%Top

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
513.5 tok/s
Faster than 97% of 247 models
Time to first token
7.5 s
Quicker than 14% of 247 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.

Hourly request success · last 72 hoursLowest hour 98.5%
  • 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-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

Other OpenAI models, starting with the same family.