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Claude Fable 5.1 · Data analysis

Claude Fable 5.1 for data analysis: our test runs

Claude Fable 5.1 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.

Short answer

In our test runs on September 27, 2026, Claude Fable 5.1 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 31 a month, and cost $0.0283 to run on average.

Prompt by prompt

Each of the 5 data analysis prompts, and how Claude Fable 5.1's reply did.

Claude Fable 5.1 on each data analysis prompt
PromptResultCostTime
The region with the most revenueEverydayPassed: Final answer North, 1,085.00: right.$0.01594.1 s
Average order value in AugustEverydayPassed: Final answer 300.00: right.$0.02093.3 s
Revenue change from July to AugustEverydayPassed: Final answer 67.4%: right.$0.02324.9 s
A median, filtered two waysHardPassed: Final answer 6.25: right.$0.01516.7 s
Correlation between ad spend and sign-upsHardPassed: Final answer 0.97: right.$0.066314.2 s

Every data analysis reply from Claude Fable 5.1

  1. 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.

    West: 2×45=90, 1×310=310, 2×120=240, 5×45=225 → 865
    East: 1×120=120, 3×45=135, 1×310=310, 3×120=360 → 925
    North: 4×45=180, 2×120=240, 2×310=620, 1×45=45 → 1085
    
    Final answer: North, $1,085.00

    815 tokens in, 118 out · 4.1 s · $0.0159 · 1 message on Pro · answered by anthropic/claude-fable-5.1 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 and revenue (quantity × price):
    
    - 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

    823 tokens in, 216 out · 3.3 s · $0.0209 · 1 message on Pro · answered by anthropic/claude-fable-5.1 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 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 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% increase
    
    Final answer: 67.4%

    831 tokens in, 259 out · 4.9 s · $0.0232 · 1 message on Pro · answered by anthropic/claude-fable-5.1 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 + high tickets: T1 (5.5), T4 (2), T6 (9), T9 (7), T10 (26), T12 (4) — 6 tickets.
    
    Sorted hours: 2, 4, 5.5, 7, 9, 26
    
    Median of 6 values = average of 3rd and 4th: (5.5 + 7) / 2 = 6.25
    
    Final answer: 6.25

    691 tokens in, 132 out · 6.7 s · $0.0151 · 1 message on Pro · answered by anthropic/claude-fable-5.1 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**
    
    - Means: x̄ (ad_spend) = 6150/8 = 768.75; ȳ (signups) = 434/8 = 54.25
    - Σ(x−x̄)(y−ȳ) = 23,912.5
    - Σ(x−x̄)² = 624,687.5
    - Σ(y−ȳ)² = 971.5
    - r = 23,912.5 / √(624,687.5 × 971.5) = 23,912.5 / 24,635.0 ≈ 0.9707
    
    Strong positive correlation between ad spend and sign-ups.
    
    Final answer: 0.97

    607 tokens in, 1,177 out (975 of them reasoning) · 14.2 s · $0.0663 · 1 message on Pro · answered by anthropic/claude-fable-5.1 via Anthropic ·

How it compares on data analysis

Claude Fable 5.1 beside the job's picks among every model. 11 models share the hard-problems pick, Claude Fable 5.1 among them.

Claude Fable 5.1 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 Fable 5.1Our pick: hard problems (shared)5 of 531 a month on Pro$0.0283
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.

Claude Fable 5.1, and data analysis, elsewhere

Questions

Is Claude Fable 5.1 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 Claude Fable 5.1 use?

1 message each on Pro, where it has 31 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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