Available on Julius

OpenAI: GPT-6 Astra

Reason through complex questions, explain the numbers, and turn your analysis into a report in Julius.

Try GPT-6 Astra on Julius

Explore a worked example

Available on Pro, Max, Ultra, and Business. Compare plans

Reviewed October 13, 2026 · Sources

Presentation slide showing revenue rising to $42,000 while gross profit falls to $13,200, with a reconciled profit bridge. — Quarterly margin reviewIllustrative output · Fictional dataView full size

Best suited to: Complex reasoning and professional work
Published context: 1,050,000 tokens
Native inputs: Text and images
Released: September 4, 2026

GPT-6 Astra pricing

Compare the provider’s API rates with access through Julius.

OpenAI API

Input / 1M tokens: $10
Output / 1M tokens: $50

Standard API rates per million tokens. Prompts above 272K input tokens cost $20 input and $75 output per million for the full request. Caching and service tiers have separate rates.

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Use your Julius plan

Available on Pro, Max, Ultra, and Business. Credits cover the work performed with models and tools.

View Julius plans and credits

Prices in USD, reviewed October 13, 2026. API token charges are separate from Julius subscriptions and credits.

What is GPT-6 Astra?

GPT-6 Astra is OpenAI’s reasoning model for demanding professional work. It accepts text and images, produces text, and supports a 1,050,000-token context window.

Consider Astra when a question requires several connected steps: interpreting source material, making a plan, and checking a result. In Julius, you can pair it with files and analysis tools to work through the question in a conversation.

Reasoning with room for context

A large published context window and configurable reasoning effort support demanding questions involving substantial material.

Work with tools

Function calling and structured outputs let applications connect the model to calculations and other tools. Julius supplies the workspace around it.

Explain why revenue rose while profit fell

A two-product business sold more in Q2. Why did it keep less of the revenue?

Worked example · Fictional sample data · Expected results calculated from the CSVs

1. Input
Quarterly sales and costs
2. Check
Separate volume, mix, and cost
3. Deliver
A reconciled profit bridge

Expected result

Revenue rises by $8,000, while gross profit falls by $5,200. Volume and product mix add $800 to profit; the higher Standard unit cost subtracts $6,000.

Q1 gross margin: 54.1%
Q2 gross margin: 31.4%

Gross profit by quarter · USD

Q1: $18,400
Q2: $13,200

What the analysis needs to catch

A revenue-only summary would miss the margin squeeze. Separate revenue from profit, then reconcile the drivers to the total change.

Make this deliverable

A quarterly comparison chart and a short margin explanation.

Turn the profit bridge and management summary into a quarterly review deck with the AI presentation maker.

Try this example in Julius

The prompt includes the sample data. Review it in chat before sending. Results may vary; compare your answer with the calculations shown here.

View the sample output (PNG)View the workflow and chart (SVG)Download sales.csv Download all data and calculations

View the prompt and sample data

Calculate revenue, gross profit, and gross margin for each quarter. Reconcile the gross-profit change into a volume/product-mix effect using Q1 unit margins and a unit-cost effect using Q2 volumes. Create a clear chart and a short management memo. State the assumptions; do not infer causes that are absent from the data.

sales.csv

quarter,product,units,unit_price,unit_cost
Q1,Standard,1000,10,6
Q1,Premium,800,30,12
Q2,Standard,3000,10,8
Q2,Premium,400,30,12

These expected results come from the downloadable Python calculations. This example illustrates a workflow; it is not a measured benchmark of GPT-6 Astra.

Using GPT-6 Astra in Julius

Start with your task

The try buttons carry GPT-6 Astra into a new chat when your plan includes it. Example buttons also fill the composer with the sample data. Review the prompt, or replace it with your own files and question, before sending.

If the model is unavailable on your plan, Julius explains the access requirement. You can choose another option in the model menu.

Analyze a spreadsheet Research a question Create a report

Know the boundaries

A larger context window does not guarantee that every detail will be used correctly. Ask for evidence and verify consequential calculations.
Native output is text. Charts, reports, and presentations in Julius are produced with Julius tools; the API token limit is not a Julius file-upload allowance.

Model details and official research

Go to the original documentation for specifications, release details, and evaluation methods.

GPT-6 Astra model documentation

Official context limits, modalities, pricing, and supported API features.

GPT-6 Astra: frequently asked questions

Is GPT-6 Astra available on Julius?

Yes. It appears as GPT-6 Astra in the model menu. Available on Pro, Max, Ultra, and Business plans.

How much does GPT-6 Astra cost?

OpenAI lists $10 per million input tokens and $50 per million output tokens. Standard API rates per million tokens. Prompts above 272K input tokens cost $20 input and $75 output per million for the full request. Caching and service tiers have separate rates. Julius subscriptions and credits are separate.

Is GPT-6 Astra the same as ChatGPT?

GPT-6 Astra is a model. ChatGPT and Julius are separate products that provide their own tools, subscriptions, and interfaces. A Julius plan does not include a ChatGPT subscription or OpenAI API credits.