GPT-6 Sol · Data analysis
GPT-6 Sol for data analysis: our test runs
GPT-6 Sol 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 Sol 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 125 a month, and cost $0.0034 to run on average.
Prompt by prompt
Each of the 5 data analysis prompts, and how GPT-6 Sol's reply did.
| Prompt | Result | Cost | Time |
|---|---|---|---|
| The region with the most revenueEveryday | Passed: Final answer North, 1,085.00: right. | $0.0026 | 2.8 s |
| Average order value in AugustEveryday | Passed: Final answer 300.00: right. | $0.0025 | 2.8 s |
| Revenue change from July to AugustEveryday | Passed: Final answer 67.4% increase: right. | $0.0025 | 2.8 s |
| A median, filtered two waysHard | Passed: Final answer 6.25 hours: right. | $0.0024 | 2.5 s |
| Correlation between ad spend and sign-upsHard | Passed: Final answer 0.97: right. | $0.0069 | 6.6 s |
Every data analysis reply from GPT-6 Sol
The region with the most revenue
An everyday prompt: “The region with the most revenue”, in full.
Passed: Final answer North, 1,085.00: right.
Revenue by region (quantity × price): - West: $90 + $310 + $240 + $225 = $865 - East: $120 + $135 + $310 + $360 = $925 - North: $180 + $240 + $620 + $45 = $1,085 Final answer: North, $1,085.00
640 tokens in, 135 out (54 of them reasoning) · 2.8 s · $0.0026 · 1 message on Pro · answered by openai/gpt-6-sol via OpenAI ·
Average order value in August
An everyday prompt: “Average order value in August”, in full.
Passed: Final answer 300.00: right.
August’s six orders had revenues of $240, $310, $620, $225, $360, and $45. Their total was $1,800, so the average was $1,800 ÷ 6 = $300.00. Final answer: $300.00
647 tokens in, 120 out (55 of them reasoning) · 2.8 s · $0.0025 · 1 message on Pro · answered by openai/gpt-6-sol 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: $1,075. August revenue: $1,800. Percentage change: \((1,800 - 1,075) \div 1,075 \times 100 = 67.4\%\). Final answer: 67.4% increase
652 tokens in, 118 out (54 of them reasoning) · 2.8 s · $0.0025 · 1 message on Pro · answered by openai/gpt-6-sol via OpenAI ·
A median, filtered two ways
A hard prompt: “A median, filtered two ways”, in full.
Passed: Final answer 6.25 hours: right.
The high-priority Billing tickets took 5.5, 2, 9, 7, 26, and 4 hours. Sorted: 2, 4, 5.5, 7, 9, 26. The median is the average of the middle two values: (5.5 + 7) ÷ 2 = 6.25. Final answer: 6.25 hours
512 tokens in, 137 out (43 of them reasoning) · 2.5 s · $0.0024 · 1 message on Pro · answered by openai/gpt-6-sol 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.
Using Pearson’s formula, \(r=\frac{\sum(x-\bar x)(y-\bar y)}{\sqrt{\sum(x-\bar x)^2\sum(y-\bar y)^2}}\). Here, the three sums are \(23{,}912.5\), \(624{,}687.5\), and \(971.5\), respectively, giving \(r\approx0.9707\). Final answer: 0.97451 tokens in, 602 out (502 of them reasoning) · 6.6 s · $0.0069 · 1 message on Pro · answered by openai/gpt-6-sol via OpenAI ·
How it compares on data analysis
GPT-6 Sol beside the job's picks among every model. 11 models share the hard-problems pick, GPT-6 Sol among them.
| Model | Passed | On Pro | Cost per reply |
|---|---|---|---|
| DeepSeek V4 ProOur pick: hard problems (shared), best value | 5 of 5 | 250 a month on Pro | $0.0016 |
| GPT-6 LunaOur pick: hard problems (shared), everyday | 5 of 5 | 60 a day on Pro | $0.0002 |
| GPT-6 SolOur pick: hard problems (shared) | 5 of 5 | 125 a month on Pro | $0.0034 |
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.
GPT-6 Sol next to each model on data analysis
GPT-6 Sol 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 Sol answered 1.7× sooner (2.8 s to 4.9 s), cost 8.4× less, and passed 5 of 5 to its 5.
Against Claude Opus 5.5: GPT-6 Sol answered 1.6× sooner (2.8 s to 4.6 s), cost 3.9× less, and passed 5 of 5 to its 5.
Against Claude Sonnet 5: GPT-6 Sol answered 1.9× sooner (2.8 s to 5.3 s), cost 2.0× less, and passed 5 of 5 to its 4. Only GPT-6 Sol passed Correlation between ad spend and sign-ups.
Against Claude Haiku 4.5: GPT-6 Sol answered within 10% of its time (2.8 s to 2.7 s), cost 1.4× more, and passed 5 of 5 to its 3. Only GPT-6 Sol passed Average order value in August; Correlation between ad spend and sign-ups.
Against GPT-6 Astra: GPT-6 Sol answered 1.2× sooner (2.8 s to 3.3 s), cost 4.6× less, and passed 5 of 5 to its 5.
Against GPT-6 Luna: GPT-6 Sol answered 1.1× later (2.8 s to 2.5 s), cost 19.2× more, and passed 5 of 5 to its 5.
Against Gemini 3.1 Pro (preview): GPT-6 Sol answered 3.1× sooner (2.8 s to 8.6 s), cost 4.6× less, and passed 5 of 5 to its 5.
Against Gemini 3.8 Flash: GPT-6 Sol answered 1.9× sooner (2.8 s to 5.4 s), cost 1.2× more, and passed 5 of 5 to its 4. Only GPT-6 Sol passed Correlation between ad spend and sign-ups.
Against DeepSeek V4.1 Flash: GPT-6 Sol answered within 10% of its time (2.8 s to 3.0 s), cost 6.6× more, and passed 5 of 5 to its 5.
Against DeepSeek V4 Pro: GPT-6 Sol answered 1.1× later (2.8 s to 2.5 s), cost 2.1× more, and passed 5 of 5 to its 5.
Against Grok 4.7: GPT-6 Sol answered 3.4× sooner (2.8 s to 9.4 s), cost 2.5× less, and passed 5 of 5 to its 5.
Against Kimi K3: GPT-6 Sol answered 1.3× sooner (2.8 s to 3.5 s), cost 2.0× less, and passed 5 of 5 to its 5.
Against GLM 5.3: GPT-6 Sol answered 1.4× later (2.8 s to 1.9 s), cost 1.8× more, and passed 5 of 5 to its 5.
Against GLM 5.3 Flash: GPT-6 Sol answered 3.5× sooner (2.8 s to 9.8 s), cost 8.8× more, and passed 5 of 5 to its 4. Only GPT-6 Sol passed Correlation between ad spend and sign-ups.
How these runs were done
Final answer. Automatic. The reply's last “Final answer:” line must hold the right value.
GPT-6 Sol, and data analysis, elsewhere
- GPT-6 Sol: price, limits and messages on every plan
- GPT-6 for data analysis
- GPT-6 Sol for coding: our test runs
- GPT-6 Sol for writing: our test runs
- GPT-6 Sol for math: our test runs
- Claude Opus 5.5 vs GPT-6 Sol
- GPT-6 Astra vs GPT-6 Sol
- GPT-6 Sol vs GPT-6 Luna
- Claude Sonnet 5 vs GPT-6 Sol
- Claude Haiku 4.5 vs GPT-6 Sol
- GPT-6 Sol vs Gemini 3.1 Pro (preview)
- GPT-6 Sol vs Gemini 3.8 Flash
- GPT-6 Sol vs DeepSeek V4 Pro
- GPT-6 Sol vs Grok 4.7
- GPT-6 Sol vs Kimi K3
- GPT-6 Sol vs GLM 5.3
- Analyze a CSV with code: the prompt, and its price
- Our test runs: 50 prompts on every model
Questions
Is GPT-6 Sol 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 Sol use?
1 message each on Pro, where it has 125 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.
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.