Skip to content

DeepSeek V4 Pro · Data analysis

DeepSeek V4 Pro for data analysis: our test runs

DeepSeek V4 Pro 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 October 8, 2026, DeepSeek V4 Pro 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 250 a month, and cost $0.0029 to run on average.

Prompt by prompt

Each of the 5 data analysis prompts, and how DeepSeek V4 Pro's reply did.

DeepSeek V4 Pro on each data analysis prompt
PromptResultCostTime
The region with the most revenueEverydayPassed: Final answer North, 1,085: right.$0.00204.1 s
Average order value in AugustEverydayPassed: Final answer 300.00: right.$0.00122.2 s
Revenue change from July to AugustEverydayPassed: Final answer 67.4%: right.$0.00205.2 s
A median, filtered two waysHardPassed: Final answer 6.25: right.$0.00111.2 s
Correlation between ad spend and sign-upsHardPassed: Final answer 0.97: right.$0.00818.1 s

Every data analysis reply from DeepSeek V4 Pro

  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.

    West: 2×45 + 1×310 + 2×120 + 5×45 = 90 + 310 + 240 + 225 = $865  
    East: 1×120 + 3×45 + 1×310 + 3×120 = 120 + 135 + 310 + 360 = $925  
    North: 4×45 + 2×120 + 2×310 + 1×45 = 180 + 240 + 620 + 45 = $1,085  
    
    North has the highest total.
    
    Final answer: North, $1,085

    655 tokens in, 438 out (309 of them reasoning) · 4.1 s · $0.0020 · 1 message on Pro · answered by deepseek/deepseek-v4-pro-0813 via Wafer ·

  2. Average order value in August

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

    Passed: Final answer 300.00: right.

    August 2026 revenues: 240, 310, 620, 225, 360, 45
    
    Total = 1800.00, orders = 6
    
    Average = 1800.00 / 6 = 300.00
    
    Final answer: 300.00

    662 tokens in, 244 out (183 of them reasoning) · 2.2 s · $0.0012 · 1 message on Pro · answered by deepseek/deepseek-v4-pro-0813 via Wafer ·

  3. Revenue change from July to August

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

    Passed: Final answer 67.4%: right.

    July revenue = (2×45) + (1×120) + (1×310) + (4×45) + (3×45) + (2×120) = 90 + 120 + 310 + 180 + 135 + 240 = **$1,075**
    
    August revenue = (2×120) + (1×310) + (2×310) + (5×45) + (3×120) + (1×45) = 240 + 310 + 620 + 225 + 360 + 45 = **$1,800**
    
    Change = (1,800 − 1,075) / 1,075 × 100 = 725 / 1,075 × 100 = 67.4%
    
    Final answer: 67.4%

    667 tokens in, 449 out (277 of them reasoning) · 5.2 s · $0.0020 · 1 message on Pro · answered by deepseek/deepseek-v4-pro-0813 via Wafer ·

  4. A median, filtered two ways

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

    Passed: Final answer 6.25: right.

    Filtering to Billing team + high priority: 5.5, 2, 9, 7, 26, 4  
    Sorted: 2, 4, 5.5, 7, 9, 26  
    Median = (5.5 + 7) / 2 = 6.25
    
    Final answer: 6.25

    526 tokens in, 210 out (131 of them reasoning) · 1.2 s · $0.0011 · 1 message on Pro · answered by deepseek/deepseek-v4-pro-0813 via Wafer ·

  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 correlation \(r = \frac{\sum (x_i-\bar{x})(y_i-\bar{y})}{\sqrt{\sum (x_i-\bar{x})^2 \sum (y_i-\bar{y})^2}}\)
    
    Using the data:
    - \(\bar{x} = 768.75\), \(\bar{y} = 54.25\)
    - \(\sum (x_i-\bar{x})(y_i-\bar{y}) = 23912.5\)
    - \(\sum (x_i-\bar{x})^2 = 624687.5\)
    - \(\sum (y_i-\bar{y})^2 = 971.5\)
    
    So:
    \(r = \frac{23912.5}{\sqrt{624687.5 \times 971.5}} \approx 0.97\)
    
    Final answer: 0.97

    464 tokens in, 1,979 out (1,801 of them reasoning) · 8.1 s · $0.0081 · 1 message on Pro · answered by deepseek/deepseek-v4-pro-0813 via Wafer ·

How it compares on data analysis

DeepSeek V4 Pro beside the job's picks among every model. 16 models share the hard-problems pick, DeepSeek V4 Pro among them.

DeepSeek V4 Pro beside other models on data analysis
ModelPassedOn ProCost per reply
GLM 5.3Our pick: hard problems (shared), best value5 of 5250 a month on Pro$0.0019
GPT-6 LunaOur pick: hard problems (shared), everyday5 of 560 a day on Pro$0.0002
DeepSeek V4 ProOur pick: hard problems (shared)5 of 5250 a month on Pro$0.0029
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: 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.

DeepSeek V4 Pro next to each model on data analysis

DeepSeek V4 Pro 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: DeepSeek V4 Pro answered 1.2× sooner (4.1 s to 4.9 s), cost 9.9× less, and passed 5 of 5 to its 5.

  • Against Claude Opus 5.5: DeepSeek V4 Pro answered 1.1× sooner (4.1 s to 4.6 s), cost 4.6× less, and passed 5 of 5 to its 5.

  • Against Claude Sonnet 5.5: DeepSeek V4 Pro answered 1.8× later (4.1 s to 2.3 s), cost 1.6× less, and passed 5 of 5 to its 5.

  • Against Claude Sonnet 5: DeepSeek V4 Pro answered 1.3× sooner (4.1 s to 5.3 s), cost 2.4× less, and passed 5 of 5 to its 4. Only DeepSeek V4 Pro passed Correlation between ad spend and sign-ups.

  • Against Claude Haiku 5.5: DeepSeek V4 Pro answered 1.2× later (4.1 s to 3.3 s), cost 8.0× more, and passed 5 of 5 to its 5.

  • Against Claude Haiku 4.5: DeepSeek V4 Pro answered 1.5× later (4.1 s to 2.7 s), cost 1.1× more, and passed 5 of 5 to its 3. Only DeepSeek V4 Pro passed Average order value in August; Correlation between ad spend and sign-ups.

  • Against GPT-6 Astra: DeepSeek V4 Pro answered 1.2× later (4.1 s to 3.3 s), cost 5.4× less, and passed 5 of 5 to its 5.

  • Against GPT-6.1 Sol: DeepSeek V4 Pro answered 1.4× later (4.1 s to 3.0 s), cost 1.8× more, and passed 5 of 5 to its 5.

  • Against GPT-6 Sol: DeepSeek V4 Pro answered 1.5× later (4.1 s to 2.8 s), cost 1.2× less, and passed 5 of 5 to its 5.

  • Against GPT-6 Luna: DeepSeek V4 Pro answered 1.6× later (4.1 s to 2.5 s), cost 16.3× more, and passed 5 of 5 to its 5.

  • Against Gemini 4 Argon: DeepSeek V4 Pro answered 1.7× sooner (4.1 s to 6.9 s), cost within 10% of it, and passed 5 of 5 to its 5.

  • Against Gemini 3.1 Pro (preview): DeepSeek V4 Pro answered 2.1× sooner (4.1 s to 8.6 s), cost 5.4× less, and passed 5 of 5 to its 5.

  • Against Gemini 3.8 Flash: DeepSeek V4 Pro answered 1.3× sooner (4.1 s to 5.4 s), cost within 10% of it, and passed 5 of 5 to its 4. Only DeepSeek V4 Pro passed Correlation between ad spend and sign-ups.

  • Against DeepSeek V4.1 Flash: DeepSeek V4 Pro answered 4.7× later (4.1 s to 0.9 s), cost 3.4× more, and passed 5 of 5 to its 5.

  • Against Grok 4.7: DeepSeek V4 Pro answered 2.2× sooner (4.1 s to 8.9 s), cost 3.9× less, and passed 5 of 5 to its 5.

  • Against Kimi K3: DeepSeek V4 Pro answered 1.2× later (4.1 s to 3.5 s), cost 2.4× less, and passed 5 of 5 to its 5.

  • Against GLM 5.3: DeepSeek V4 Pro answered 2.1× later (4.1 s to 1.9 s), cost 1.5× more, and passed 5 of 5 to its 5.

  • Against GLM 5.3 Flash: DeepSeek V4 Pro answered 2.4× sooner (4.1 s to 9.8 s), cost 7.4× more, and passed 5 of 5 to its 4. Only DeepSeek V4 Pro passed Correlation between ad spend and sign-ups.

  • Against Mistral Large 4: DeepSeek V4 Pro answered 3.9× sooner (4.1 s to 15.8 s), cost 1.3× less, 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.

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

DeepSeek V4 Pro, and data analysis, elsewhere

Questions

Is DeepSeek V4 Pro 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 DeepSeek V4 Pro use?

1 message each on Pro, where it has 250 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.