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GPT-6 Astra · Data analysis

GPT-6 Astra for data analysis: our test runs

GPT-6 Astra ran our 5 data analysis prompts in llmwise, through the same pipeline your messages take. Here's every reply as it came, whether it passed, what it cost and what it counts as on Pro, next to the other models.

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Based on 5 of our test runs on , through OpenRouter with the app's own prompt and settings.

Short answer

In our test runs on September 27, 2026, GPT-6 Astra passed 5 of 5 of our data analysis prompts (both hard ones): tied 1st of 15 models. Each reply counted as 1 message on Pro, where it has 31 a month, and cost $0.0154 to run on average.

Prompt by prompt

Each of the 5 data analysis prompts, and how GPT-6 Astra's reply did.

GPT-6 Astra on each data analysis prompt
PromptResultCostTime
The region with the most revenueEverydayPassed: Final answer North, 1,085.: right.$0.01363.3 s
Average order value in AugustEverydayPassed: Final answer 300.00: right.$0.01042.5 s
Revenue change from July to AugustEverydayPassed: Final answer 67.4% increase: right.$0.01503.6 s
A median, filtered two waysHardPassed: Final answer 6.25 hours: right.$0.00902.0 s
Correlation between ad spend and sign-upsHardPassed: Final answer 0.97: right.$0.02948.8 s

Every data analysis reply from GPT-6 Astra

  1. The region with the most revenue

    An everyday prompt: “The region with the most revenue”, in full.

    Passed: Final answer North, 1,085.: right.

    Revenue by region (quantity × price):

- **West:** 2×45 + 1×310 + 2×120 + 5×45 = **$865**
- **East:** 1×120 + 3×45 + 1×310 + 3×120 = **$925**
- **North:** 4×45 + 2×120 + 2×310 + 1×45 = **$1,085**

Final answer: North, $1,085.

    640 tokens in, 143 out (33 of them reasoning) · 3.3 s · $0.0136 · 1 message on Pro · answered by openai/gpt-6-astra via OpenAI ·

  2. Average order value in August

    An everyday prompt: “Average order value in August”, in full.

    Passed: Final answer 300.00: right.

    August revenues: 240 + 310 + 620 + 225 + 360 + 45 = 1,800.

Average revenue per order = 1,800 ÷ 6 = 300.00.

Final answer: 300.00

    647 tokens in, 78 out (20 of them reasoning) · 2.5 s · $0.0104 · 1 message on Pro · answered by openai/gpt-6-astra via OpenAI ·

  3. Revenue change from July to August

    An everyday prompt: “Revenue change from July to August”, in full.

    Passed: Final answer 67.4% increase: right.

    July revenue: \(90 + 120 + 310 + 180 + 135 + 240 = \$1{,}075\)

August revenue: \(240 + 310 + 620 + 225 + 360 + 45 = \$1{,}800\)

Percentage change: \(\frac{1{,}800 - 1{,}075}{1{,}075} \times 100 = 67.4\%\)

Final answer: 67.4% increase

    652 tokens in, 169 out (58 of them reasoning) · 3.6 s · $0.0150 · 1 message on Pro · answered by openai/gpt-6-astra via OpenAI ·

  4. A median, filtered two ways

    A hard prompt: “A median, filtered two ways”, in full.

    Passed: Final answer 6.25 hours: right.

    High-priority Billing resolution times, sorted: 2, 4, 5.5, 7, 9, 26 hours.

With 6 tickets, the median is the average of the two middle values: (5.5 + 7) ÷ 2 = 6.25 hours.

Final answer: 6.25 hours

    512 tokens in, 77 out · 2.0 s · $0.0090 · 1 message on Pro · answered by openai/gpt-6-astra via OpenAI ·

  5. Correlation between ad spend and sign-ups

    A hard prompt: “Correlation between ad spend and sign-ups”, in full.

    Passed: Final answer 0.97: right.

    Pearson’s correlation coefficient is
\[
r=\frac{n\sum xy-(\sum x)(\sum y)}
{\sqrt{[n\sum x^2-(\sum x)^2][n\sum y^2-(\sum y)^2]}}.
\]

For these 8 weeks:
- \(\sum x=6150,\quad \sum y=434\)
- \(\sum xy=357550\)
- \(\sum x^2=5352500,\quad \sum y^2=24516\)

Thus,
\[
r=\frac{191300}{\sqrt{4997500\times7772}}\approx0.9707.
\]

Final answer: 0.97

    451 tokens in, 497 out (338 of them reasoning) · 8.8 s · $0.0294 · 1 message on Pro · answered by openai/gpt-6-astra via OpenAI ·

How it compares on data analysis

GPT-6 Astra beside the job's picks among every model. 11 models share the hard-problems pick, GPT-6 Astra among them.

GPT-6 Astra beside other models on data analysis
ModelPassedOn ProCost per reply
DeepSeek V4 ProOur pick: hard problems (shared), best value5 of 5250 a month on Pro$0.0016
GPT-6 LunaOur pick: hard problems (shared), everyday5 of 560 a day on Pro$0.0002
GPT-6 AstraOur pick: hard problems (shared)5 of 531 a month on Pro$0.0154
On Pro: Pro's count on each model. Cost: what OpenRouter charged us per reply, on average.

Every limit is published. Paid plans also have a monthly fair-use limit on AI cost: Pro $7.50, Max $20, Ultra $42, Studio $85. Using every message on your plan at typical sizes stays under it; very large messages and heavy research use it faster. Every limit, explained.

How these runs were done

Final answer. Automatic. The reply's last “Final answer:” line must hold the right value.

How the runs were done, and every data analysis prompt.

GPT-6 Astra, and data analysis, elsewhere

Questions

Is GPT-6 Astra good for data analysis?

In our test runs it passed 5 of 5 data analysis prompts, tied 1st of the 15 models in llmwise. Every reply is on this page, so you can judge them yourself.

How many of my messages does a data analysis reply from GPT-6 Astra use?

1 message each on Pro, where it has 31 a month on Pro. The price of a message is fixed and shown before you send it, however long the reply.

How were these runs done?

The same way for every model: each prompt sent through llmwise's own pipeline, each reply checked the same way. The methods page has every prompt and how each is scored.

Claude, GPT, Gemini, DeepSeek, Grok, Kimi, and GLM, in one chat.

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