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DeepSeek V4.1 Flash · Data analysis

DeepSeek V4.1 Flash for data analysis: our test runs

DeepSeek V4.1 Flash 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, DeepSeek V4.1 Flash 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 60 a day, and cost $0.0005 to run on average.

Prompt by prompt

Each of the 5 data analysis prompts, and how DeepSeek V4.1 Flash's reply did.

DeepSeek V4.1 Flash on each data analysis prompt
PromptResultCostTime
The region with the most revenueEverydayPassed: Final answer North, with 1,085.00 in revenue.: right.$0.00043.0 s
Average order value in AugustEverydayPassed: Final answer 300.00: right.$0.00032.0 s
Revenue change from July to AugustEverydayPassed: Final answer +67.4%: right.$0.000310.2 s
A median, filtered two waysHardPassed: Final answer 6.25: right.$0.00021.6 s
Correlation between ad spend and sign-upsHardPassed: Final answer 0.97: right.$0.00134.8 s

Every data analysis reply from DeepSeek V4.1 Flash

  1. The region with the most revenue

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

    Passed: Final answer North, with 1,085.00 in revenue.: right.

    **Working (revenue = quantity × price, summed by region):**

- **West:** 90 + 310 + 240 + 225 = **865**
- **East:** 120 + 135 + 310 + 360 = **925**
- **North:** 180 + 240 + 620 + 45 = **1085**

North leads.

Final answer: North, with 1,085.00 in revenue.

    683 tokens in, 196 out (103 of them reasoning) · 3.0 s · $0.0004 · 1 message on Pro · answered by deepseek/deepseek-v4.1-flash via Parasail ·

  2. Average order value in August

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

    Passed: Final answer 300.00: right.

    August 2026 orders (1007–1012):

- 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 = 1,800.00 across 6 orders → 1,800.00 / 6 = 300.00

Final answer: 300.00

    690 tokens in, 267 out (111 of them reasoning) · 2.0 s · $0.0003 · 1 message on Pro · answered by deepseek/deepseek-v4.1-flash via StreamLake ·

  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 2026 revenue:**
- 1001: 2×45 = 90
- 1002: 1×120 = 120
- 1003: 1×310 = 310
- 1004: 4×45 = 180
- 1005: 3×45 = 135
- 1006: 2×120 = 240
- **Total = 1,075**

**August 2026 revenue:**
- 1007: 2×120 = 240
- 1008: 1×310 = 310
- 1009: 2×310 = 620
- 1010: 5×45 = 225
- 1011: 3×120 = 360
- 1012: 1×45 = 45
- **Total = 1,800**

**Change:** (1,800 − 1,075) / 1,075 = 725 / 1,075 ≈ 0.6744 → +67.4%

Final answer: +67.4%

    695 tokens in, 456 out (99 of them reasoning) · 10.2 s · $0.0003 · 1 message on Pro · answered by deepseek/deepseek-v4.1-flash via Relace ·

  4. A median, filtered two ways

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

    Passed: Final answer 6.25: right.

    **Filter:** team = Billing AND priority = high

| ticket | hours |
|---|---|
| T4 | 2 |
| T12 | 4 |
| T1 | 5.5 |
| T9 | 7 |
| T6 | 9 |
| T10 | 26 |

That's 6 values; median = mean of the 3rd and 4th = (5.5 + 7) / 2 = **6.25**

Final answer: 6.25

    554 tokens in, 209 out (102 of them reasoning) · 1.6 s · $0.0002 · 1 message on Pro · answered by deepseek/deepseek-v4.1-flash via Novita ·

  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.

    **Working**

n = 8, Σx = 6150, Σy = 434, Σxy = 357,550, Σx² = 5,352,500, Σy² = 24,516

Numerator: n·Σxy − Σx·Σy = 8(357,550) − 6150(434) = 2,860,400 − 2,669,100 = 191,300

Denominator:
- n·Σx² − (Σx)² = 42,820,000 − 37,822,500 = 4,997,500
- n·Σy² − (Σy)² = 196,128 − 188,356 = 7,772
- √(4,997,500 × 7,772) ≈ 197,080.1

r = 191,300 / 197,080.1 ≈ 0.9707

Final answer: 0.97

    492 tokens in, 1,515 out (1,302 of them reasoning) · 4.8 s · $0.0013 · 1 message on Pro · answered by deepseek/deepseek-v4.1-flash via Novita ·

How it compares on data analysis

DeepSeek V4.1 Flash beside the job's picks among every model. 11 models share the hard-problems pick, DeepSeek V4.1 Flash among them.

DeepSeek V4.1 Flash 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
DeepSeek V4.1 FlashOur pick: hard problems (shared)5 of 560 a day on Pro$0.0005
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.

DeepSeek V4.1 Flash, and data analysis, elsewhere

Questions

Is DeepSeek V4.1 Flash 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 DeepSeek V4.1 Flash use?

1 message each on Pro, where it has 60 a day 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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