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Claude Sonnet 5.5 · Data analysis

Claude Sonnet 5.5 for data analysis: our test runs

Claude Sonnet 5.5 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 September 28, 2026, Claude Sonnet 5.5 passed 5 of 5 of our data analysis prompts (both hard ones): tied 1st of 16 models. Each reply counted as 1 message on Pro, where it has 125 a month, and cost $0.0047 to run on average.

Prompt by prompt

Each of the 5 data analysis prompts, and how Claude Sonnet 5.5's reply did.

Claude Sonnet 5.5 on each data analysis prompt
PromptResultCostTime
The region with the most revenueEverydayPassed: Final answer North, with 1,085.00 in revenue: right.$0.00512.4 s
Average order value in AugustEverydayPassed: Final answer 300.00: right.$0.00371.7 s
Revenue change from July to AugustEverydayPassed: Final answer 67.4%: right.$0.00482.3 s
A median, filtered two waysHardPassed: Final answer 6.25 hours: right.$0.00301.5 s
Correlation between ad spend and sign-upsHardPassed: Final answer 0.97: right.$0.00704.2 s

Every data analysis reply from Claude Sonnet 5.5

  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.

    Revenue per order (quantity × price):
    
    - 1001 West: 2×45 = 90
    - 1002 East: 1×120 = 120
    - 1003 West: 1×310 = 310
    - 1004 North: 4×45 = 180
    - 1005 East: 3×45 = 135
    - 1006 North: 2×120 = 240
    - 1007 West: 2×120 = 240
    - 1008 East: 1×310 = 310
    - 1009 North: 2×310 = 620
    - 1010 West: 5×45 = 225
    - 1011 East: 3×120 = 360
    - 1012 North: 1×45 = 45
    
    Totals by region:
    
    - West: 90 + 310 + 240 + 225 = 865
    - East: 120 + 135 + 310 + 360 = 925
    - North: 180 + 240 + 620 + 45 = 1085
    
    North is highest.
    
    Final answer: North, with $1,085.00 in revenue

    817 tokens in, 307 out · 2.4 s · $0.0051 · 1 message on Pro · answered by anthropic/claude-sonnet-5.5 via Anthropic ·

  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 = 240
    - 1008: 1 × 310 = 310
    - 1009: 2 × 310 = 620
    - 1010: 5 × 45 = 225
    - 1011: 3 × 120 = 360
    - 1012: 1 × 45 = 45
    
    Total = 240 + 310 + 620 + 225 + 360 + 45 = 1800
    
    Average = 1800 / 6 = 300.00
    
    Final answer: 300.00

    825 tokens in, 170 out · 1.7 s · $0.0037 · 1 message on Pro · answered by anthropic/claude-sonnet-5.5 via Anthropic ·

  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:**
    - 1001: 2 × 45 = 90
    - 1002: 1 × 120 = 120
    - 1003: 1 × 310 = 310
    - 1004: 4 × 45 = 180
    - 1005: 3 × 45 = 135
    - 1006: 2 × 120 = 240
    
    July total = 1075
    
    **August:**
    - 1007: 2 × 120 = 240
    - 1008: 1 × 310 = 310
    - 1009: 2 × 310 = 620
    - 1010: 5 × 45 = 225
    - 1011: 3 × 120 = 360
    - 1012: 1 × 45 = 45
    
    August total = 1800
    
    **Change:** (1800 − 1075) / 1075 = 725 / 1075 ≈ 0.67442 → 67.4%
    
    Final answer: 67.4%

    833 tokens in, 273 out · 2.3 s · $0.0048 · 1 message on Pro · answered by anthropic/claude-sonnet-5.5 via Anthropic ·

  4. A median, filtered two ways

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

    Passed: Final answer 6.25 hours: right.

    Billing + high tickets: T1 (5.5), T4 (2), T6 (9), T9 (7), T10 (26), T12 (4).
    
    Sorted: 2, 4, 5.5, 7, 9, 26
    
    Six values, so the median is the average of the 3rd and 4th: (5.5 + 7) / 2 = 6.25
    
    Final answer: 6.25 hours

    693 tokens in, 127 out · 1.5 s · $0.0030 · 1 message on Pro · answered by anthropic/claude-sonnet-5.5 via Anthropic ·

  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.

    Data: x = ad_spend, y = signups (n = 8)
    
    Sums:
    - Σx = 500+800+650+1200+900+300+1100+700 = 6150 → mean x = 768.75
    - Σy = 42+55+49+71+60+35+64+58 = 434 → mean y = 54.25
    
    Deviations (dx, dy), products:
    - 500: dx=-268.75, dy=-12.25 → dxdy=3292.19; dx²=72226.56; dy²=150.06
    - 800: dx=31.25, dy=0.75 → 23.44; 976.56; 0.56
    - 650: dx=-118.75, dy=-5.25 → 623.44; 14101.56; 27.56
    - 1200: dx=431.25, dy=16.75 → 7223.44; 185976.56; 280.56
    - 900: dx=131.25, dy=5.75 → 754.69; 17226.56; 33.06
    - 300: dx=-468.75, dy=-19.25 → 9023.44; 219726.56; 370.56
    - 1100: dx=331.25, dy=9.75 → 3229.69; 109726.56; 95.06
    - 700: dx=-68.75, dy=3.75 → -257.81; 4726.56; 14.06
    
    Totals:
    - Sxy ≈ 23,912.5
    - Sxx ≈ 624,687.5
    - Syy ≈ 971.5
    
    r = 23,912.5 / √(624,687.5 × 971.5) = 23,912.5 / √606,884,000 ≈ 23,912.5 / 24,635.4 ≈ 0.97
    
    Final answer: 0.97

    609 tokens in, 547 out · 4.2 s · $0.0070 · 1 message on Pro · answered by anthropic/claude-sonnet-5.5 via Anthropic ·

How it compares on data analysis

Claude Sonnet 5.5 beside the job's picks among every model. 12 models share the hard-problems pick, Claude Sonnet 5.5 among them.

Claude Sonnet 5.5 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
Claude Sonnet 5.5Our pick: hard problems (shared)5 of 5125 a month on Pro$0.0047
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.

Claude Sonnet 5.5 next to each model on data analysis

Claude Sonnet 5.5 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: Claude Sonnet 5.5 answered 2.1× sooner (2.3 s to 4.9 s), cost 6.0× less, and passed 5 of 5 to its 5.

  • Against Claude Opus 5.5: Claude Sonnet 5.5 answered 2.0× sooner (2.3 s to 4.6 s), cost 2.8× less, and passed 5 of 5 to its 5.

  • Against Claude Sonnet 5: Claude Sonnet 5.5 answered 2.3× sooner (2.3 s to 5.3 s), cost 1.5× less, and passed 5 of 5 to its 4. Only Claude Sonnet 5.5 passed Correlation between ad spend and sign-ups.

  • Against Claude Haiku 4.5: Claude Sonnet 5.5 answered 1.2× sooner (2.3 s to 2.7 s), cost 1.9× more, and passed 5 of 5 to its 3. Only Claude Sonnet 5.5 passed Average order value in August; Correlation between ad spend and sign-ups.

  • Against GPT-6 Astra: Claude Sonnet 5.5 answered 1.4× sooner (2.3 s to 3.3 s), cost 3.3× less, and passed 5 of 5 to its 5.

  • Against GPT-6 Sol: Claude Sonnet 5.5 answered 1.2× sooner (2.3 s to 2.8 s), cost 1.4× more, and passed 5 of 5 to its 5.

  • Against GPT-6 Luna: Claude Sonnet 5.5 answered within 10% of its time (2.3 s to 2.5 s), cost 26.7× more, and passed 5 of 5 to its 5.

  • Against Gemini 3.1 Pro (preview): Claude Sonnet 5.5 answered 3.8× sooner (2.3 s to 8.6 s), cost 3.3× less, and passed 5 of 5 to its 5.

  • Against Gemini 3.8 Flash: Claude Sonnet 5.5 answered 2.4× sooner (2.3 s to 5.4 s), cost 1.7× more, and passed 5 of 5 to its 4. Only Claude Sonnet 5.5 passed Correlation between ad spend and sign-ups.

  • Against DeepSeek V4.1 Flash: Claude Sonnet 5.5 answered 1.3× sooner (2.3 s to 3.0 s), cost 9.2× more, and passed 5 of 5 to its 5.

  • Against DeepSeek V4 Pro: Claude Sonnet 5.5 answered within 10% of its time (2.3 s to 2.5 s), cost 2.9× more, and passed 5 of 5 to its 5.

  • Against Grok 4.7: Claude Sonnet 5.5 answered 4.1× sooner (2.3 s to 9.4 s), cost 1.8× less, and passed 5 of 5 to its 5.

  • Against Kimi K3: Claude Sonnet 5.5 answered 1.5× sooner (2.3 s to 3.5 s), cost 1.4× less, and passed 5 of 5 to its 5.

  • Against GLM 5.3: Claude Sonnet 5.5 answered 1.2× later (2.3 s to 1.9 s), cost 2.5× more, and passed 5 of 5 to its 5.

  • Against GLM 5.3 Flash: Claude Sonnet 5.5 answered 4.3× sooner (2.3 s to 9.8 s), cost 12.2× more, and passed 5 of 5 to its 4. Only Claude Sonnet 5.5 passed Correlation between ad spend and sign-ups.

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.

Claude Sonnet 5.5, and data analysis, elsewhere

Questions

Is Claude Sonnet 5.5 good for data analysis?

In our test runs it passed 5 of 5 data analysis prompts, tied 1st of the 16 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 Claude Sonnet 5.5 use?

1 message each on Pro, where it has 125 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, and GLM, in one chat.

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