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.
Based on 5 of our test runs on , through OpenRouter with the app's own prompt and settings. Updated .
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 20 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.
| Prompt | Result | Cost | Time |
|---|---|---|---|
| The region with the most revenueEveryday | Passed: Final answer North, 1,085.: right. | $0.0136 | 3.3 s |
| Average order value in AugustEveryday | Passed: Final answer 300.00: right. | $0.0104 | 2.5 s |
| Revenue change from July to AugustEveryday | Passed: Final answer 67.4% increase: right. | $0.0150 | 3.6 s |
| A median, filtered two waysHard | Passed: Final answer 6.25 hours: right. | $0.0090 | 2.0 s |
| Correlation between ad spend and sign-upsHard | Passed: Final answer 0.97: right. | $0.0294 | 8.8 s |
Every data analysis reply from GPT-6 Astra
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 ·
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 ·
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% increase652 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 ·
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 ·
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: 0.97451 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. 16 models share the hard-problems pick, GPT-6 Astra among them.
| Model | Passed | On Pro | Cost per reply |
|---|---|---|---|
| GLM 5.3Our pick: hard problems (shared), best value | 5 of 5 | 250 a month on Pro | $0.0019 |
| GPT-6 LunaOur pick: hard problems (shared), everyday | 5 of 5 | 60 a day on Pro | $0.0002 |
| GPT-6 AstraOur pick: hard problems (shared) | 5 of 5 | 31 a month on Pro | $0.0154 |
Every limit is published. Paid plans also have a monthly fair-use limit on AI cost: Plus $3.75, 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.
GPT-6 Astra next to each model on data analysis
GPT-6 Astra against each model on the same 5 data analysis prompts. One run each, through OpenRouter: a wait depends on the provider and the load that day, so a lead under 10% counts as close.
Against Claude Fable 5.1: GPT-6 Astra answered 1.5× sooner (3.3 s to 4.9 s), cost 1.8× less, and passed 5 of 5 to its 5.
Against Claude Opus 5.5: GPT-6 Astra answered 1.4× sooner (3.3 s to 4.6 s), cost 1.2× more, and passed 5 of 5 to its 5.
Against Claude Sonnet 5.5: GPT-6 Astra answered 1.4× later (3.3 s to 2.3 s), cost 3.3× more, and passed 5 of 5 to its 5.
Against Claude Sonnet 5: GPT-6 Astra answered 1.6× sooner (3.3 s to 5.3 s), cost 2.2× more, and passed 5 of 5 to its 4. Only GPT-6 Astra passed Correlation between ad spend and sign-ups.
Against Claude Haiku 5.5: GPT-6 Astra answered within 10% of its time (3.3 s to 3.3 s), cost 43.1× more, and passed 5 of 5 to its 5.
Against Claude Haiku 4.5: GPT-6 Astra answered 1.2× later (3.3 s to 2.7 s), cost 6.2× more, and passed 5 of 5 to its 3. Only GPT-6 Astra passed Average order value in August; Correlation between ad spend and sign-ups.
Against GPT-6.1 Sol: GPT-6 Astra answered within 10% of its time (3.3 s to 3.0 s), cost 9.7× more, and passed 5 of 5 to its 5.
Against GPT-6 Sol: GPT-6 Astra answered 1.2× later (3.3 s to 2.8 s), cost 4.6× more, and passed 5 of 5 to its 5.
Against GPT-6 Luna: GPT-6 Astra answered 1.3× later (3.3 s to 2.5 s), cost 87.7× more, and passed 5 of 5 to its 5.
Against Gemini 4 Argon: GPT-6 Astra answered 2.1× sooner (3.3 s to 6.9 s), cost 5.4× more, and passed 5 of 5 to its 5.
Against Gemini 3.1 Pro (preview): GPT-6 Astra answered 2.6× sooner (3.3 s to 8.6 s), cost within 10% of it, and passed 5 of 5 to its 5.
Against Gemini 3.8 Flash: GPT-6 Astra answered 1.6× sooner (3.3 s to 5.4 s), cost 5.6× more, and passed 5 of 5 to its 4. Only GPT-6 Astra passed Correlation between ad spend and sign-ups.
Against DeepSeek V4.1 Flash: GPT-6 Astra answered 3.8× later (3.3 s to 0.9 s), cost 18.2× more, and passed 5 of 5 to its 5.
Against DeepSeek V4 Pro: GPT-6 Astra answered 1.2× sooner (3.3 s to 4.1 s), cost 5.4× more, and passed 5 of 5 to its 5.
Against Grok 4.7: GPT-6 Astra answered 2.7× sooner (3.3 s to 8.9 s), cost 1.4× more, and passed 5 of 5 to its 5.
Against Kimi K3: GPT-6 Astra answered within 10% of its time (3.3 s to 3.5 s), cost 2.3× more, and passed 5 of 5 to its 5.
Against GLM 5.3: GPT-6 Astra answered 1.7× later (3.3 s to 1.9 s), cost 8.1× more, and passed 5 of 5 to its 5.
Against GLM 5.3 Flash: GPT-6 Astra answered 3.0× sooner (3.3 s to 9.8 s), cost 40.2× more, and passed 5 of 5 to its 4. Only GPT-6 Astra passed Correlation between ad spend and sign-ups.
Against Mistral Large 4: GPT-6 Astra answered 4.8× sooner (3.3 s to 15.8 s), cost 4.1× more, and passed 5 of 5 to its 5.
How these runs were done
Final answer. Automatic. The reply's last “Final answer:” line must hold the right value.
GPT-6 Astra, and data analysis, elsewhere
- GPT-6 Astra: price, limits and messages on every plan
- GPT-6 for data analysis
- GPT-6 Astra for coding: our test runs
- GPT-6 Astra for writing: our test runs
- GPT-6 Astra for math: our test runs
- Claude Fable 5.1 vs GPT-6 Astra
- GPT-6 Astra vs GPT-6.1 Sol
- Gemini 4 Argon vs GPT-6 Astra
- Claude Opus 5.5 vs GPT-6 Astra
- GPT-6 Astra vs GPT-6 Sol
- GPT-6 Astra vs Grok 4.7
- GPT-6 Astra vs GPT-6 Luna
- Analyze a CSV with code: the prompt, and its price
- AI prompts for business, tested on four models
- Our test runs: 50 prompts on every model
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 20 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, GLM, and Mistral, in one chat.
See what a message costs before you send it. Free is 5 messages to try; sign in with an email link, no password or card.