Gemini 4 Argon · Data analysis

Gemini 4 Argon for data analysis: our test runs

Gemini 4 Argon 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 15, 2026, through OpenRouter with the app's own prompt and settings. Updated October 15, 2026.

Short answer

In our test runs on October 15, 2026, Gemini 4 Argon 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 62 a month, and cost $0.0028 to run on average.

Prompt by prompt

Each of the 5 data analysis prompts, and how Gemini 4 Argon's reply did.

Gemini 4 Argon on each data analysis prompt
Prompt	Result	Cost	Time
The region with the most revenueEveryday	Passed: Final answer North, 1085.00: right.	$0.0021	8.4 s
Average order value in AugustEveryday	Passed: Final answer 300.00: right.	$0.0027	5.6 s
Revenue change from July to AugustEveryday	Passed: Final answer 67.4%: right.	$0.0036	6.5 s
A median, filtered two waysHard	Passed: Final answer 6.25: right.	$0.0017	6.9 s
Correlation between ad spend and sign-upsHard	Passed: Final answer 0.97: right.	$0.0041	8.4 s

Every data analysis reply from Gemini 4 Argon

The region with the most revenue

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

Passed: Final answer North, 1085.00: right.

**Working:**
* **West:** (2 × 45) + (1 × 310) + (2 × 120) + (5 × 45) = 90 + 310 + 240 + 225 = **865.00**
* **East:** (1 × 120) + (3 × 45) + (1 × 310) + (3 × 120) = 120 + 135 + 310 + 360 = **925.00**
* **North:** (4 × 45) + (2 × 120) + (2 × 310) + (1 × 45) = 180 + 240 + 620 + 45 = **1085.00**

Final answer: North, 1085.00

989 tokens in, 222 out · 8.4 s · $0.0021 · 1 message on Pro · answered by google/gemini-4-argon via Google AI Studio · October 15, 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** (2026-08-02): 2 × 120.00 = 240.00
* **1008** (2026-08-06): 1 × 310.00 = 310.00
* **1009** (2026-08-11): 2 × 310.00 = 620.00
* **1010** (2026-08-15): 5 × 45.00 = 225.00
* **1011** (2026-08-19): 3 × 120.00 = 360.00
* **1012** (2026-08-27): 1 × 45.00 = 45.00

**Calculation:**
* Total revenue: 240.00 + 310.00 + 620.00 + 225.00 + 360.00 + 45.00 = 1800.00
* Number of orders: 6
* Average revenue: 1800.00 / 6 = 300.00

Final answer: 300.00

998 tokens in, 345 out · 5.6 s · $0.0027 · 1 message on Pro · answered by google/gemini-4-argon via Google AI Studio · October 15, 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 Revenue:**
* 1001: $2 \times 45.00 = 90.00$
* 1002: $1 \times 120.00 = 120.00$
* 1003: $1 \times 310.00 = 310.00$
* 1004: $4 \times 45.00 = 180.00$
* 1005: $3 \times 45.00 = 135.00$
* 1006: $2 \times 120.00 = 240.00$
* **July Total:** $90 + 120 + 310 + 180 + 135 + 240 = 1,075.00$

**August 2026 Revenue:**
* 1007: $2 \times 120.00 = 240.00$
* 1008: $1 \times 310.00 = 310.00$
* 1009: $2 \times 310.00 = 620.00$
* 1010: $5 \times 45.00 = 225.00$
* 1011: $3 \times 120.00 = 360.00$
* 1012: $1 \times 45.00 = 45.00$
* **August Total:** $240 + 310 + 620 + 225 + 360 + 45 = 1,800.00$

**Percentage Change:**
$$\frac{1,800 - 1,075}{1,075} \times 100 = \frac{725}{1,075} \times 100 \approx 67.44\%$$

Final answer: 67.4%

1,005 tokens in, 516 out · 6.5 s · $0.0036 · 1 message on Pro · answered by google/gemini-4-argon via Google AI Studio · October 15, 2026

A median, filtered two ways

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

Passed: Final answer 6.25: right.

1. **Filter for `team = Billing` and `priority = high`:**
   - T1: 5.5
   - T4: 2
   - T6: 9
   - T9: 7
   - T10: 26
   - T12: 4

2. **Sort the `hours_to_resolve` values in ascending order:**
   2, 4, 5.5, 7, 9, 26

3. **Find the median:**
   Since there are 6 values (an even number), the median is the average of the two middle values (3rd and 4th):
   (5.5 + 7) / 2 = 6.25

Final answer: 6.25

770 tokens in, 180 out · 6.9 s · $0.0017 · 1 message on Pro · answered by google/gemini-4-argon via Google AI Studio · October 15, 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.

Let $x$ represent `ad_spend` and $y$ represent `signups` for $n = 8$ weeks.

**1. Calculate the means ($\bar{x}$ and $\bar{y}$):**
* $\sum x = 500 + 800 + 650 + 1200 + 900 + 300 + 1100 + 700 = 6150$
* $\bar{x} = \frac{6150}{8} = 768.75$
* $\sum y = 42 + 55 + 49 + 71 + 60 + 35 + 64 + 58 = 434$
* $\bar{y} = \frac{434}{8} = 54.25$

**2. Calculate the deviations and sums of squares:**
* $\sum(x_i - \bar{x})^2 = (-268.75)^2 + (31.25)^2 + (-118.75)^2 + (431.25)^2 + (131.25)^2 + (-468.75)^2 + (331.25)^2 + (-68.75)^2 = 624,687.5$
* $\sum(y_i - \bar{y})^2 = (-12.25)^2 + (0.75)^2 + (-5.25)^2 + (16.75)^2 + (5.75)^2 + (-19.25)^2 + (9.75)^2 + (3.75)^2 = 971.5$
* $\sum(x_i - \bar{x})(y_i - \bar{y}) = 3292.19 + 23.44 + 623.44 + 7223.44 + 754.69 + 9023.44 + 3229.69 - 257.81 = 23,912.5$

**3. Calculate the Pearson correlation coefficient ($r$):**
$$r = \frac{\sum(x_i - \bar{x})(y_i - \bar{y})}{\sqrt{\sum(x_i - \bar{x})^2 \cdot \sum(y_i - \bar{y})^2}}$$

$$r = \frac{23912.5}{\sqrt{624687.5 \times 971.5}} = \frac{23912.5}{\sqrt{606883906.25}} \approx \frac{23912.5}{24635.01} \approx 0.9707$$

Final answer: 0.97

724 tokens in, 681 out · 8.4 s · $0.0041 · 1 message on Pro · answered by google/gemini-4-argon via Google AI Studio · October 15, 2026

How it compares on data analysis

Gemini 4 Argon beside the job's picks among every model. 16 models share the hard-problems pick, Gemini 4 Argon among them.

Gemini 4 Argon 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
Gemini 4 ArgonOur pick: hard problems (shared)	5 of 5	62 a month on Pro	$0.0028

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.

Gemini 4 Argon next to each model on data analysis

Gemini 4 Argon 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: Gemini 4 Argon answered 1.4× later (6.9 s to 4.9 s), cost 10.0× less, and passed 5 of 5 to its 5.
Against Claude Opus 5.5: Gemini 4 Argon answered 1.5× later (6.9 s to 4.6 s), cost 4.6× less, and passed 5 of 5 to its 5.
Against Claude Sonnet 5.5: Gemini 4 Argon answered 3.0× later (6.9 s to 2.3 s), cost 1.7× less, and passed 5 of 5 to its 5.
Against Claude Sonnet 5: Gemini 4 Argon answered 1.3× later (6.9 s to 5.3 s), cost 2.4× less, and passed 5 of 5 to its 4. Only Gemini 4 Argon passed Correlation between ad spend and sign-ups.
Against Claude Haiku 5.5: Gemini 4 Argon answered 2.1× later (6.9 s to 3.3 s), cost 7.9× more, and passed 5 of 5 to its 5.
Against Claude Haiku 4.5: Gemini 4 Argon answered 2.5× later (6.9 s to 2.7 s), cost 1.1× more, and passed 5 of 5 to its 3. Only Gemini 4 Argon passed Average order value in August; Correlation between ad spend and sign-ups.
Against GPT-6 Astra: Gemini 4 Argon answered 2.1× later (6.9 s to 3.3 s), cost 5.4× less, and passed 5 of 5 to its 5.
Against GPT-6.1 Sol: Gemini 4 Argon answered 2.3× later (6.9 s to 3.0 s), cost 1.8× more, and passed 5 of 5 to its 5.
Against GPT-6 Sol: Gemini 4 Argon answered 2.5× later (6.9 s to 2.8 s), cost 1.2× less, and passed 5 of 5 to its 5.
Against GPT-6 Luna: Gemini 4 Argon answered 2.8× later (6.9 s to 2.5 s), cost 16.1× more, and passed 5 of 5 to its 5.
Against Gemini 3.1 Pro (preview): Gemini 4 Argon answered 1.3× sooner (6.9 s to 8.6 s), cost 5.4× less, and passed 5 of 5 to its 5.
Against Gemini 3.8 Flash: Gemini 4 Argon answered 1.3× later (6.9 s to 5.4 s), cost within 10% of it, and passed 5 of 5 to its 4. Only Gemini 4 Argon passed Correlation between ad spend and sign-ups.
Against DeepSeek V4.1 Flash: Gemini 4 Argon answered 7.9× later (6.9 s to 0.9 s), cost 3.4× more, and passed 5 of 5 to its 5.
Against DeepSeek V4 Pro: Gemini 4 Argon answered 1.7× later (6.9 s to 4.1 s), cost within 10% of it, and passed 5 of 5 to its 5.
Against Grok 4.7: Gemini 4 Argon answered 1.3× sooner (6.9 s to 8.9 s), cost 3.9× less, and passed 5 of 5 to its 5.
Against Kimi K3: Gemini 4 Argon answered 2.0× later (6.9 s to 3.5 s), cost 2.4× less, and passed 5 of 5 to its 5.
Against GLM 5.3: Gemini 4 Argon answered 3.5× later (6.9 s to 1.9 s), cost 1.5× more, and passed 5 of 5 to its 5.
Against GLM 5.3 Flash: Gemini 4 Argon answered 1.4× sooner (6.9 s to 9.8 s), cost 7.4× more, and passed 5 of 5 to its 4. Only Gemini 4 Argon passed Correlation between ad spend and sign-ups.
Against Mistral Large 4: Gemini 4 Argon answered 2.3× sooner (6.9 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.

Gemini 4 Argon, and data analysis, elsewhere

Questions

Is Gemini 4 Argon 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 Gemini 4 Argon use?

1 message each on Pro, where it has 62 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.

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