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 October 8, 2026, through OpenRouter with the app's own prompt and settings. Updated October 15, 2026.

Short answer

In our test runs on October 8, 2026, DeepSeek V4.1 Flash 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 60 a day, and cost $0.0008 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
Prompt	Result	Cost	Time
The region with the most revenueEveryday	Passed: Final answer North, 1,085.00: right.	$0.0005	0.8 s
Average order value in AugustEveryday	Passed: Final answer 300.00: right.	$0.0004	0.9 s
Revenue change from July to AugustEveryday	Passed: Final answer 67.4%: right.	$0.0007	1.1 s
A median, filtered two waysHard	Passed: Final answer 6.25: right.	$0.0003	0.6 s
Correlation between ad spend and sign-upsHard	Passed: Final answer 0.97: right.	$0.0023	5.8 s

Every data analysis reply from DeepSeek V4.1 Flash

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.
```
Working:

- West: (2×45) + 310 + (2×120) + (5×45) = 90 + 310 + 240 + 225 = **865**
- East: 120 + (3×45) + 310 + (3×120) = 120 + 135 + 310 + 360 = **925**
- North: (4×45) + (2×120) + (2×310) + 45 = 180 + 240 + 620 + 45 = **1085**

Final answer: North, $1,085.00
```
683 tokens in, 315 out (185 of them reasoning) · 0.8 s · $0.0005 · 1 message on Pro · answered by deepseek/deepseek-v4.1-flash via Together · October 7, 2026

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 = 1800.00 across 6 orders → 1800 / 6 = 300.00

Final answer: 300.00

690 tokens in, 264 out (111 of them reasoning) · 0.9 s · $0.0004 · 1 message on Pro · answered by deepseek/deepseek-v4.1-flash via Together · October 8, 2026

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**
- 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 = **1,075.00**

**August 2026**
- 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 = **1,800.00**

Change = (1800 − 1075) / 1075 × 100 = 725 / 1075 × 100 ≈ 67.4%

Final answer: 67.4%

695 tokens in, 465 out (234 of them reasoning) · 1.1 s · $0.0007 · 1 message on Pro · answered by deepseek/deepseek-v4.1-flash via Together · October 8, 2026

A median, filtered two ways
A hard prompt: “A median, filtered two ways”, in full.
Passed: Final answer 6.25: right.
```
Billing + high tickets: T1=5.5, T4=2, T6=9, T9=7, T10=26, T12=4 → 6 values.

Sorted: 2, 4, 5.5, 7, 9, 26

Even count, so median = average of the two middle values: (5.5 + 7) / 2 = 6.25

Final answer: 6.25
```
554 tokens in, 182 out (79 of them reasoning) · 0.6 s · $0.0003 · 1 message on Pro · answered by deepseek/deepseek-v4.1-flash via Together · October 8, 2026

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 the computational formula:

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

Numerator: 8(357,550) − (6150)(434) = 2,860,400 − 2,669,100 = 191,300

Denominator: √[(8·5,352,500 − 6150²)(8·24,516 − 434²)] = √[(4,997,500)(7,772)] = √38,840,570,000 ≈ 197,079

r = 191,300 / 197,079 ≈ 0.9707

Final answer: 0.97

492 tokens in, 1,841 out (1,667 of them reasoning) · 5.8 s · $0.0023 · 1 message on Pro · answered by deepseek/deepseek-v4.1-flash via Together · October 8, 2026

How it compares on data analysis

DeepSeek V4.1 Flash beside the job's picks among every model. 16 models share the hard-problems pick, DeepSeek V4.1 Flash among them.

DeepSeek V4.1 Flash beside other models on data analysis
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
DeepSeek V4.1 FlashOur pick: hard problems (shared)	5 of 5	60 a day on Pro	$0.0008

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 V4.1 Flash next to each model on data analysis

DeepSeek V4.1 Flash 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 V4.1 Flash answered 5.6× sooner (0.9 s to 4.9 s), cost 33.4× less, and passed 5 of 5 to its 5.
Against Claude Opus 5.5: DeepSeek V4.1 Flash answered 5.3× sooner (0.9 s to 4.6 s), cost 15.4× less, and passed 5 of 5 to its 5.
Against Claude Sonnet 5.5: DeepSeek V4.1 Flash answered 2.6× sooner (0.9 s to 2.3 s), cost 5.6× less, and passed 5 of 5 to its 5.
Against Claude Sonnet 5: DeepSeek V4.1 Flash answered 6.1× sooner (0.9 s to 5.3 s), cost 8.1× less, and passed 5 of 5 to its 4. Only DeepSeek V4.1 Flash passed Correlation between ad spend and sign-ups.
Against Claude Haiku 5.5: DeepSeek V4.1 Flash answered 3.8× sooner (0.9 s to 3.3 s), cost 2.4× more, and passed 5 of 5 to its 5.
Against Claude Haiku 4.5: DeepSeek V4.1 Flash answered 3.2× sooner (0.9 s to 2.7 s), cost 2.9× less, and passed 5 of 5 to its 3. Only DeepSeek V4.1 Flash passed Average order value in August; Correlation between ad spend and sign-ups.
Against GPT-6 Astra: DeepSeek V4.1 Flash answered 3.8× sooner (0.9 s to 3.3 s), cost 18.2× less, and passed 5 of 5 to its 5.
Against GPT-6.1 Sol: DeepSeek V4.1 Flash answered 3.5× sooner (0.9 s to 3.0 s), cost 1.9× less, and passed 5 of 5 to its 5.
Against GPT-6 Sol: DeepSeek V4.1 Flash answered 3.2× sooner (0.9 s to 2.8 s), cost 4.0× less, and passed 5 of 5 to its 5.
Against GPT-6 Luna: DeepSeek V4.1 Flash answered 2.9× sooner (0.9 s to 2.5 s), cost 4.8× more, and passed 5 of 5 to its 5.
Against Gemini 4 Argon: DeepSeek V4.1 Flash answered 7.9× sooner (0.9 s to 6.9 s), cost 3.4× less, and passed 5 of 5 to its 5.
Against Gemini 3.1 Pro (preview): DeepSeek V4.1 Flash answered 10.0× sooner (0.9 s to 8.6 s), cost 18.2× less, and passed 5 of 5 to its 5.
Against Gemini 3.8 Flash: DeepSeek V4.1 Flash answered 6.2× sooner (0.9 s to 5.4 s), cost 3.3× less, and passed 5 of 5 to its 4. Only DeepSeek V4.1 Flash passed Correlation between ad spend and sign-ups.
Against DeepSeek V4 Pro: DeepSeek V4.1 Flash answered 4.7× sooner (0.9 s to 4.1 s), cost 3.4× less, and passed 5 of 5 to its 5.
Against Grok 4.7: DeepSeek V4.1 Flash answered 10.3× sooner (0.9 s to 8.9 s), cost 13.1× less, and passed 5 of 5 to its 5.
Against Kimi K3: DeepSeek V4.1 Flash answered 4.1× sooner (0.9 s to 3.5 s), cost 8.0× less, and passed 5 of 5 to its 5.
Against GLM 5.3: DeepSeek V4.1 Flash answered 2.2× sooner (0.9 s to 1.9 s), cost 2.3× less, and passed 5 of 5 to its 5.
Against GLM 5.3 Flash: DeepSeek V4.1 Flash answered 11.3× sooner (0.9 s to 9.8 s), cost 2.2× more, and passed 5 of 5 to its 4. Only DeepSeek V4.1 Flash passed Correlation between ad spend and sign-ups.
Against Mistral Large 4: DeepSeek V4.1 Flash answered 18.3× sooner (0.9 s to 15.8 s), cost 4.4× 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 V4.1 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 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 V4.1 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, 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.