Comparison · Data analysis
ChatGPT vs Grok for data analysis
On llmwise Pro, GPT-6 Sol gets up to 125 messages a month and Grok 4.7 up to 250 messages a month. ChatGPT is OpenAI's own app for its GPT models; llmwise has GPT models in its own chat, not ChatGPT itself. We ran the same 5 data analysis prompts on all 3 GPT models and Grok's one model and published every reply: the results, then GPT-6 Luna against Grok 4.7 prompt by prompt, then how GPT and Grok compare on price per message, context and files.
Based on 20 of our test runs on , through OpenRouter with the app's own prompt and settings. Updated .
Short answer
In our data analysis test runs on September 27, 2026, GPT's 3 models passed 15 of 15; GPT-6 Astra, GPT-6 Sol, and GPT-6 Luna each passed 5 of 5. Grok's one model passed 5 of 5 ($0.0085 a reply). GPT-6 Luna and Grok 4.7 each passed 5 of the 5 prompts, so these data analysis prompts don't split GPT and Grok; the replies on this page show how they differ.
GPT and Grok on our data analysis test runs
Every GPT and Grok model in llmwise on our 5 data analysis prompts: how many replies passed, what each counted as on Pro, and what it cost to run.
| Model | Passed | Hard ones | Messages used on Pro | Cost per reply | Time per reply |
|---|---|---|---|---|---|
| GPT-6 AstraOpenAI | 5 of 5 | 2 of 2 | 1 each, of 31 a month on Pro | $0.0154 | 4.0 s |
| GPT-6 SolOpenAI | 5 of 5 | 2 of 2 | 1 each, of 125 a month on Pro | $0.0034 | 3.5 s |
| GPT-6 LunaOpenAI | 5 of 5 | 2 of 2 | 1 each, of 60 a day on Pro | $0.0002 | 3.4 s |
| Grok 4.7xAI | 5 of 5 | 2 of 2 | 1 each, of 250 a month on Pro | $0.0085 | 14.9 s |
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 vs Grok, prompt by prompt
Each data analysis prompt with GPT-6 Luna and Grok 4.7 side by side, as they replied: for each side, the model that passed the most data analysis prompts (then the most hard ones, then the cheaper).
Data analysis: GPT-6 Luna passed 5 of 5 and Grok 4.7 5 of 5. GPT-6 Luna answered 3.8× sooner at the median, 2.5 s against 9.4 s. GPT-6 Luna cost 48.0× less, $0.0009 against $0.0423 for the 5 replies. Grok 4.7's replies ran 60% longer, in tokens of reply, thinking not counted.
1. The region with the most revenue
Everyday. GPT: 3 of 3 models passed, GPT-6 Luna the cheapest at $0.0001 · Grok: 1 of 1 model passed, Grok 4.7 at $0.0057. The prompt in full.
GPT-6 Luna and Grok 4.7 both passed this one. GPT-6 Luna answered sooner (2.5 s to 9.4 s), and GPT-6 Luna's reply cost less ($0.0001 to $0.0057); GPT-6 Luna wrote 70 tokens of reply, Grok 4.7 60.
GPT-6 Luna
Passed: Final answer North — 1,085.00: right.
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 (65 of them reasoning) · 2.5 s · $0.0001 · 1 message on Pro · answered by openai/gpt-6-luna via OpenAI ·
Grok 4.7
Passed: Final answer North, 1085: right.
West: 90 + 310 + 240 + 225 = 865 East: 120 + 135 + 310 + 360 = 925 North: 180 + 240 + 620 + 45 = 1085 Final answer: North, 1085
1,876 tokens in, 848 out (788 of them reasoning) · 9.4 s · $0.0057 · 1 message on Pro · answered by x-ai/grok-4.7 via xAI ·
2. Average order value in August
Everyday. GPT: 3 of 3 models passed, GPT-6 Luna the cheapest at $0.0001 · Grok: 1 of 1 model passed, Grok 4.7 at $0.0037. The prompt in full.
GPT-6 Luna and Grok 4.7 both passed this one. GPT-6 Luna answered sooner (2.6 s to 5.5 s), and GPT-6 Luna's reply cost less ($0.0001 to $0.0037); GPT-6 Luna wrote 64 tokens of reply, Grok 4.7 157.
GPT-6 Luna
Passed: Final answer 300.00: right.
August revenue: $240 + $310 + $620 + $225 + $360 + $45 = $1,800. There were 6 orders, so the average is $1,800 ÷ 6 = $300.00. Final answer: $300.00
647 tokens in, 131 out (67 of them reasoning) · 2.6 s · $0.0001 · 1 message on Pro · answered by openai/gpt-6-luna via OpenAI ·
Grok 4.7
Passed: Final answer 300.00: right.
August 2026 orders and revenue (quantity × price): - 1007: 2 × 120.00 = 240.00 - 1008: 1 × 310.00 = 310.00 - 1009: 2 × 310.00 = 620.00 - 1010: 5 × 45.00 = 225.00 - 1011: 3 × 120.00 = 360.00 - 1012: 1 × 45.00 = 45.00 Total revenue = 1800.00 across 6 orders. Average = 1800.00 / 6 = 300.00. Final answer: 300.00
1,883 tokens in, 496 out (339 of them reasoning) · 5.5 s · $0.0037 · 1 message on Pro · answered by x-ai/grok-4.7 via xAI ·
3. Revenue change from July to August
Everyday. GPT: 3 of 3 models passed, GPT-6 Luna the cheapest at $0.0001 · Grok: 1 of 1 model passed, Grok 4.7 at $0.0071. The prompt in full.
GPT-6 Luna and Grok 4.7 both passed this one. GPT-6 Luna answered sooner (2.5 s to 10.1 s), and GPT-6 Luna's reply cost less ($0.0001 to $0.0071); GPT-6 Luna wrote 66 tokens of reply, Grok 4.7 115.
GPT-6 Luna
Passed: Final answer 67.4% increase: right.
July revenue: $1,075.00. August revenue: $1,800.00. Percentage change = (($1,800 − $1,075) ÷ $1,075) × 100 = 67.4% increase. Final answer: 67.4% increase
652 tokens in, 135 out (69 of them reasoning) · 2.5 s · $0.0001 · 1 message on Pro · answered by openai/gpt-6-luna via OpenAI ·
Grok 4.7
Passed: Final answer 67.4%: right.
July revenue: 2×45 + 1×120 + 1×310 + 4×45 + 3×45 + 2×120 = 1075. August revenue: 2×120 + 1×310 + 2×310 + 5×45 + 3×120 + 1×45 = 1800. Change: (1800 − 1075) / 1075 × 100 = 67.441…% → 67.4%. Final answer: 67.4%
1,888 tokens in, 1,134 out (1,019 of them reasoning) · 10.1 s · $0.0071 · 1 message on Pro · answered by x-ai/grok-4.7 via xAI ·
4. A median, filtered two ways
Hard. GPT: 3 of 3 models passed, GPT-6 Luna the cheapest at $0.0001 · Grok: 1 of 1 model passed, Grok 4.7 at $0.0036. The prompt in full.
GPT-6 Luna and Grok 4.7 both passed this one. GPT-6 Luna answered sooner (2.5 s to 4.2 s), and GPT-6 Luna's reply cost less ($0.0001 to $0.0036); GPT-6 Luna wrote 75 tokens of reply, Grok 4.7 88.
GPT-6 Luna
Passed: Final answer 6.25 hours: right.
Billing high-priority resolution times, sorted: 2, 4, 5.5, 7, 9, 26. With six values, the median is the average of the middle two: (5.5 + 7) / 2 = 6.25 hours. Final answer: 6.25 hours
512 tokens in, 128 out (53 of them reasoning) · 2.5 s · $0.0001 · 1 message on Pro · answered by openai/gpt-6-luna via OpenAI ·
Grok 4.7
Passed: Final answer 6.25: right.
High-priority Billing tickets: 5.5, 2, 9, 7, 26, 4. Sorted: 2, 4, 5.5, 7, 9, 26. Median of 6 values = average of 3rd and 4th = (5.5 + 7) / 2 = 6.25. Final answer: 6.25
1,749 tokens in, 448 out (360 of them reasoning) · 4.2 s · $0.0036 · 1 message on Pro · answered by x-ai/grok-4.7 via xAI ·
5. Correlation between ad spend and sign-ups
Hard. GPT: 3 of 3 models passed, GPT-6 Luna the cheapest at $0.0004 · Grok: 1 of 1 model passed, Grok 4.7 at $0.0222. The prompt in full.
GPT-6 Luna and Grok 4.7 both passed this one. GPT-6 Luna answered sooner (6.7 s to 45.4 s), and GPT-6 Luna's reply cost less ($0.0004 to $0.0222); GPT-6 Luna wrote 99 tokens of reply, Grok 4.7 177.
GPT-6 Luna
Passed: Final answer 0.97: right.
Using \(r=\frac{\sum (x-\bar{x})(y-\bar{y})}{\sqrt{\sum(x-\bar{x})^2\sum(y-\bar{y})^2}}\), the centered sums are \(23{,}912.5\), \(624{,}687.5\), and \(971.5\). Thus \(r \approx 0.9707\). Final answer: 0.97451 tokens in, 651 out (552 of them reasoning) · 6.7 s · $0.0004 · 1 message on Pro · answered by openai/gpt-6-luna via OpenAI ·
Grok 4.7
Passed: Final answer 0.97: right.
**Pearson r (computational formula)** n = 8, x = ad_spend, y = signups - Σx = 6150, Σy = 434, Σxy = 357550, Σx² = 5352500, Σy² = 24516 Numerator: nΣxy − ΣxΣy = 8×357550 − 6150×434 = 191300 Denominator parts: nΣx² − (Σx)² = 4997500, nΣy² − (Σy)² = 7772 r = 191300 / √(4997500 × 7772) = 191300 / √38840570000 ≈ 191300 / 197080.11 ≈ 0.9707 **Final answer: 0.97**
1,686 tokens in, 4,422 out (4,245 of them reasoning) · 45.4 s · $0.0222 · 1 message on Pro · answered by x-ai/grok-4.7 via xAI ·
Each GPT model against each Grok model
Every GPT model against every Grok model on the same 5 data analysis prompts: passes, the median wait and what the replies cost. A lead under 10% counts as close.
GPT-6 Astra vs Grok 4.7: 5 of 5 each; GPT-6 Astra answered 2.9× sooner at the median and Grok 4.7 cost 1.8× less. GPT-6 Astra vs Grok 4.7, on every job.
GPT-6 Sol vs Grok 4.7: 5 of 5 each; GPT-6 Sol answered 3.4× sooner at the median and cost 2.5× less. GPT-6 Sol vs Grok 4.7, on every job.
GPT-6 Luna vs Grok 4.7: 5 of 5 each; GPT-6 Luna answered 3.8× sooner at the median and cost 48.0× less. GPT-6 Luna vs Grok 4.7, on every job.
How the data analysis replies are scored
Every GPT and Grok reply above was checked the same way as every other model's, by the rules published with the prompts: how the data analysis prompts are scored, and each one in full.
The differences at a glance
What follows from each model's facts in our catalog.
The lineups
GPT: 3 models, GPT-6 Astra, GPT-6 Sol, and GPT-6 Luna. Grok: one model, Grok 4.7.
Price per message
The least expensive GPT model is GPT-6 Luna (60 messages a day on Pro); Grok's one model is Grok 4.7 (250 messages a month on Pro).
Context window
GPT goes up to 1.05M tokens (GPT-6 Astra); Grok up to 500K tokens (Grok 4.7).
Images and PDFs
Every model here reads images. Every model here takes a PDF as a whole file.
On the Free plan
Free's one-time trial of 5 messages covers GPT-6 Sol, GPT-6 Luna, and Grok 4.7. Paid plans have every model, with messages every month.
Every GPT and Grok model's context window, files and API price: Grok vs ChatGPT.
Where your messages go
In llmwise, a message to GPT goes to its maker, OpenAI, or through OpenRouter when llmwise can't reach the maker directly. Grok models are served only through OpenRouter, by endpoints that don't store or train on prompts. The Privacy Policy has the details.
Questions
Which is better, ChatGPT or Grok for data analysis?
In our data analysis test runs on September 27, 2026, GPT's 3 models passed 15 of 15; GPT-6 Astra, GPT-6 Sol, and GPT-6 Luna each passed 5 of 5. Grok's one model passed 5 of 5 ($0.0085 a reply). GPT-6 Luna and Grok 4.7 each passed 5 of the 5 prompts, so these data analysis prompts don't split GPT and Grok; the replies on this page show how they differ.
Is GPT or Grok cheaper?
In llmwise, the least expensive GPT model is GPT-6 Luna (60 messages a day on Pro), and the least expensive Grok model is Grok 4.7 (250 messages a month on Pro). At API list prices (September 2026), a typical message of 4,000 tokens in and 700 out costs $0.0008 on GPT-6 Luna and $0.0098 on Grok 4.7.
Can I use GPT and Grok in the same chat?
Yes. Ask GPT-6 Luna a question, then switch the picker to Grok 4.7 and ask again: Grok 4.7 sees the whole conversation, GPT-6 Luna's answer included.
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.