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Claude Haiku 5.5 · Data analysis

Claude Haiku 5.5 for data analysis: our test runs

Claude Haiku 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 October 7, 2026, Claude Haiku 5.5 passed 5 of 5 of our data analysis prompts (both hard ones): tied 1st of 18 models. Each reply counted as 1 message on Pro, where it has 60 a day, and cost $0.0004 to run on average.

Prompt by prompt

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

Claude Haiku 5.5 on each data analysis prompt
PromptResultCostTime
The region with the most revenueEverydayPassed: Final answer North, 1085: right.$0.00033.4 s
Average order value in AugustEverydayPassed: Final answer 300.00: right.$0.00021.3 s
Revenue change from July to AugustEverydayPassed: Final answer 67.4%: right.$0.00043.3 s
A median, filtered two waysHardPassed: Final answer 6.25: right.$0.00022.6 s
Correlation between ad spend and sign-upsHardPassed: Final answer 0.97: right.$0.00075.7 s

Every data analysis reply from Claude Haiku 5.5

  1. The region with the most revenue

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

    Passed: Final answer North, 1085: right.

    Revenue = quantity × price, summed by region:
    
    - **West:** 90 + 310 + 240 + 225 = **865**
    - **East:** 120 + 135 + 310 + 360 = **925**
    - **North:** 180 + 240 + 620 + 45 = **1085**
    
    Final answer: North, 1085

    816 tokens in, 336 out (231 of them reasoning) · 3.4 s · $0.0003 · 1 message on Pro · answered by anthropic/claude-haiku-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 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 revenue: 240 + 310 + 620 + 225 + 360 + 45 = 1,800.00
    
    Number of orders: 6
    
    Average: 1,800.00 / 6 = 300.00
    
    Final answer: 300.00

    824 tokens in, 208 out · 1.3 s · $0.0002 · 1 message on Pro · answered by anthropic/claude-haiku-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 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, or 67.4%.
    
    Final answer: 67.4%

    832 tokens in, 575 out (277 of them reasoning) · 3.3 s · $0.0004 · 1 message on Pro · answered by anthropic/claude-haiku-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: right.

    Billing tickets with high priority:
    
    - T1: 5.5
    - T4: 2
    - T6: 9
    - T9: 7
    - T10: 26
    - T12: 4
    
    Sorted: 2, 4, 5.5, 7, 9, 26
    
    With six values, the median is the average of the middle two: (5.5 + 7) / 2 = 6.25
    
    Final answer: 6.25

    692 tokens in, 240 out (114 of them reasoning) · 2.6 s · $0.0002 · 1 message on Pro · answered by anthropic/claude-haiku-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.

    **Working:**
    
    - n = 8
    - Mean ad_spend = 6150 / 8 = 768.75
    - Mean signups = 434 / 8 = 54.25
    - Sum of cross-deviations (Σ(x−x̄)(y−ȳ)) = 23,912.5
    - Sum of squared x-deviations (Σ(x−x̄)²) = 624,687.5
    - Sum of squared y-deviations (Σ(y−ȳ)²) = 971.5
    
    r = 23,912.5 / √(624,687.5 × 971.5) ≈ 23,912.5 / 24,635.9 ≈ 0.971
    
    Final answer: 0.97

    608 tokens in, 1,298 out (1,075 of them reasoning) · 5.7 s · $0.0007 · 1 message on Pro · answered by anthropic/claude-haiku-5.5 via Anthropic ·

How it compares on data analysis

Claude Haiku 5.5 beside the job's picks among every model. 14 models share the hard-problems pick, Claude Haiku 5.5 among them.

Claude Haiku 5.5 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
Claude Haiku 5.5Our pick: hard problems (shared)5 of 560 a day on Pro$0.0004
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 Haiku 5.5 next to each model on data analysis

Claude Haiku 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 Haiku 5.5 answered 1.5× sooner (3.3 s to 4.9 s), cost 78.9× less, and passed 5 of 5 to its 5.

  • Against Claude Opus 5.5: Claude Haiku 5.5 answered 1.4× sooner (3.3 s to 4.6 s), cost 36.5× less, and passed 5 of 5 to its 5.

  • Against Claude Sonnet 5.5: Claude Haiku 5.5 answered 1.4× later (3.3 s to 2.3 s), cost 13.1× less, and passed 5 of 5 to its 5.

  • Against Claude Sonnet 5: Claude Haiku 5.5 answered 1.6× sooner (3.3 s to 5.3 s), cost 19.2× less, and passed 5 of 5 to its 4. Only Claude Haiku 5.5 passed Correlation between ad spend and sign-ups.

  • Against Claude Haiku 4.5: Claude Haiku 5.5 answered 1.2× later (3.3 s to 2.7 s), cost 7.0× less, and passed 5 of 5 to its 3. Only Claude Haiku 5.5 passed Average order value in August; Correlation between ad spend and sign-ups.

  • Against GPT-6 Astra: Claude Haiku 5.5 answered within 10% of its time (3.3 s to 3.3 s), cost 43.1× less, and passed 5 of 5 to its 5.

  • Against GPT-6.1 Sol: Claude Haiku 5.5 answered within 10% of its time (3.3 s to 3.0 s), cost 4.4× less, and passed 5 of 5 to its 5.

  • Against GPT-6 Sol: Claude Haiku 5.5 answered 1.2× later (3.3 s to 2.8 s), cost 9.4× less, and passed 5 of 5 to its 5.

  • Against GPT-6 Luna: Claude Haiku 5.5 answered 1.3× later (3.3 s to 2.5 s), cost 2.0× more, and passed 5 of 5 to its 5.

  • Against Gemini 3.1 Pro (preview): Claude Haiku 5.5 answered 2.6× sooner (3.3 s to 8.6 s), cost 43.1× less, and passed 5 of 5 to its 5.

  • Against Gemini 3.8 Flash: Claude Haiku 5.5 answered 1.6× sooner (3.3 s to 5.4 s), cost 7.7× less, and passed 5 of 5 to its 4. Only Claude Haiku 5.5 passed Correlation between ad spend and sign-ups.

  • Against DeepSeek V4.1 Flash: Claude Haiku 5.5 answered 3.8× later (3.3 s to 0.9 s), cost 2.4× less, and passed 5 of 5 to its 5.

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

  • Against Grok 4.7: Claude Haiku 5.5 answered 2.7× sooner (3.3 s to 8.9 s), cost 31.0× less, and passed 5 of 5 to its 5.

  • Against Kimi K3: Claude Haiku 5.5 answered within 10% of its time (3.3 s to 3.5 s), cost 18.9× less, and passed 5 of 5 to its 5.

  • Against GLM 5.3: Claude Haiku 5.5 answered 1.7× later (3.3 s to 1.9 s), cost 5.3× less, and passed 5 of 5 to its 5.

  • Against GLM 5.3 Flash: Claude Haiku 5.5 answered 3.0× sooner (3.3 s to 9.8 s), cost within 10% of it, and passed 5 of 5 to its 4. Only Claude Haiku 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 Haiku 5.5, and data analysis, elsewhere

Questions

Is Claude Haiku 5.5 good for data analysis?

In our test runs it passed 5 of 5 data analysis prompts, tied 1st of the 18 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 Haiku 5.5 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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