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OpenAI · Frontier

GPT Astra Latest

Added Sep 11, 2026

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Use in the app

Compatibility alias that routes to GPT 6 Astra, the latest supported GPT Astra model.

  • Reasoning
  • Tools
  • Vision
  • Structured output
  • PDF input
Input
Text, Images
Output
Text
Reasoning effort
low · medium · high · xhigh · max
Discovery tier
Frontier

Pricing

USD per 1M tokens
Input
$10.00
Output
$50.00
Cache read
$1.00
Cache write
$12.50

Reference prices as published by the model provider. API example

Specifications

Context window
1.1M
Max output
128K
Average output (7 days)
599 tokens
Longer than 56% of 473 models

Side by side

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TryClaude Fable 5Muse Spark 1.3Gemini 4 ArgonAll 3

Public evaluations

Benchmarks

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

Intelligence Index

49.6

Tested at medium reasoning effort

Better than 96% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    76.7

    Composite of the coding evaluations

    Better than 94% of 168 scored models

Agentic work

  • AutomationBench-AA

    64.6%

    Workflow automation, penalized for guardrail violations

    Better than 93% of 173 scored models

  • AutomationBench-AA tasks completed

    33.6%

    Workflows finished end to end without a guardrail violation

    Better than 91% of 173 scored models

  • AA-Briefcasev1.1

    1,460 Elo

    Agentic knowledge work, rated head to head

    Better than 78% of 166 scored models

  • GDPval-AAv2.1

    1,487 Elo

    Economically valuable occupational tasks, rated head to head

    Better than 78% of 187 scored models

Document reasoning

  • GDP.pdf

    30.4%

    Professional reasoning over PDF documents, all-pass rate

    Better than 96% of 171 scored models

  • AA-LCRv1.1

    79.7%

    Reasoning across long documents

    Better than 75% of 309 scored models

  • MLCR-AA

    38.3%

    Long-context reasoning over medical records

    Better than 98% of 121 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    52.7%

    Expert-level questions across academic fields

    Better than 97% of 323 scored models

  • GPQA Diamond

    93.9%

    Graduate-level science questions

    Better than 95% of 291 scored models

Coding

  • Terminal-Benchv4.0

    49.5%

    Practical software engineering in a terminal

    Better than 93% of 171 scored models

  • SciCode

    54.2%

    Scientific computing in Python

    Better than 70% of 174 scored models

Legacy evaluations

  • AA-LCR (unversioned)

    79.7%

    Long-context reasoning, earlier grading

    Better than 75% of 309 scored models

Scores from Artificial Analysis, updated Oct 26, 2026. GPT Astra 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
65.7 tok/s
Faster than 44% of 259 models
Time to first token
8.9 s
Quicker than 12% of 259 models
Prompt cache hits
61.6%
About $4.46 per 1M input tokens with caching
Request success (24h)
98.3%
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 80.0%
  • 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-astra-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-astra-latest",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

OpenAI

Other OpenAI models, starting with the same family.