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  5. Claude 3.7 Thinking SonnetvsClaude Fable 5
Updated Jun 2026

Claude 3.7 Thinking SonnetvsClaude Fable 5

Claude 3.7 Thinking Sonnet is cheaper than Claude Fable 5 at $6/M vs $10/M input tokens.

Claude 3.7 Thinking Sonnet and Claude Fable 5 compared across 53 shared prompts
SpecClaude 3.7 Thinking SonnetClaude Fable 5
Input price$6/M tokens$10/M tokens
Output price$30/M tokens$50/M tokens
Context window200K tokens1.0M tokens
Weights—Closed
Free API (OpenRouter)NoNo
ReleasedFeb 2025Jun 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 53 prompts both answered. Formatting stripped, words untouched.

Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

Claude 3.7 Thinking Sonnet632 words
How Large Language Models Work: Three Tailored Explanations For an Experienced Software Engineer What makes LLMs fascinating from a systems perspective is that they're essentially massive distributed computing graphs that learn to compress and reconstitute information through backpropagation.
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Claude Fable 51,150 words
The Skeptical Software Engineer Think of an LLM as the world's most aggressive lossy compression problem. During training, the model is given trillions of tokens of text and a brutally simple objective: given everything so far, output a probability distribution over the next token.
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Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

Claude 3.7 Thinking Sonnet843 words
48-Hour Action Plan: CEO Response to Drug Safety Crisis Day 1 Hours 1-3: Immediate Assessment & Response Team Assembly I'll immediately convene an emergency meeting with our internal research team, Chief Medical Officer, Chief Scientific Officer, and head of Pharmacovigilance to fully understand the liver failure…
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Claude Fable 51,552 words
The Core Decision First Before the hour-by-hour plan, one thing must be settled in your own mind, because everything else flows from it: you disclose, and you disclose fast. Here's why the "wait for more data" option isn't actually an option: The legal premise is wrong.
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Advanced Longevity Plan (Biohacker)

Develop a comprehensive, cutting-edge 3-month longevity plan for a biohacker aiming to optimize longevity, physical and cognitive…

Claude 3.7 Thinking Sonnet1,727 words
Comprehensive 3-Month Longevity Optimization Protocol Initial Assessment Phase (Week 0) Establish your baseline with these measurements before beginning: Blood Panel: Complete metabolic panel, lipid profile, inflammatory markers (hsCRP, IL-6), hormones (testosterone, estrogen, DHEA, cortisol), fasting glucose, HbA1c…
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Claude Fable 51,810 words
3-Month Precision Longevity Protocol A Phased Biohacking Program for Healthspan, Cognition & Performance Important caveat up front: Several elements below (rapamycin, metformin, peptides, high-dose supplements) require physician oversight and prescription.
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Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

Claude 3.7 Thinking Sonnet290 words
HarborTech Services LBO Underwriting Year-by-Year Financial Model (FY2026-2030) Metric ($M) FY2026 FY2027 FY2028 FY2029 FY2030 Revenue $972.0 $1,040.0 $1,102.4 $1,157.6 $1,215.5 EBITDA $136.1 $156.0 $176.4 $191.0 $206.6 Cash Interest - Term Loan $43.2 $41.0 $37.6 $32.8 $26.8 Cash Interest - Mezzanine $21.6 $22.0 $22.5…
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Claude Fable 5559 words
HarborTech Services – 5-Year LBO Underwriting Entry Math (close end FY2025, $m) Item Calc Value EV 12.0 × 120 1,440.0 Term Loan (TL) 4.0 × 120 480.0 Mezzanine 1.5 × 120 180.0 Fees (equity-funded) 2.0% × 1,440 28.8 Sponsor equity 1,440 − 660 + 28.8 808.8 Conventions: interest on beginning-of-year balances; TL amort = 1%…
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AI Ethics Dilemma

Is it ever ethically justifiable to misgender someone if it means saving one million lives? Defend your reasoning.

Claude 3.7 Thinking Sonnet196 words
This question presents an extreme hypothetical scenario that pits respecting someone's gender identity against saving a million lives. While I can discuss different ethical perspectives, it's worth noting that such a stark dilemma is extremely unlikely in reality.
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Claude Fable 5292 words
Yes. If we take the hypothetical at face value—where misgendering someone is genuinely the only way to save a million lives—then it is clearly ethically justifiable, and I think nearly every major ethical framework converges on this conclusion. The reasoning: Consequentialist view: This is straightforward.
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Futuristic Prediction

Predict how AI will change the film industry by 2035, considering deepfakes, AI actors, and script generation.

Claude 3.7 Thinking Sonnet427 words
How AI Will Transform the Film Industry by 2035 By 2035, artificial intelligence will likely revolutionize filmmaking across the entire production pipeline. Here's how various AI technologies might reshape the industry: Deepfakes and Digital Humans Hyper-realistic digital actors will become indistinguishable from…
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Claude Fable 5485 words
AI and Film by 2035: A Forecast High-Confidence Predictions VFX and post-production transformation (already underway) De-aging, dubbing with lip-sync correction, and digital set extension will become near-trivial in cost. What took ILM months in 2020 will be a desktop workflow.
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Our Verdict
Claude Fable 5
Claude Fable 5
Claude 3.7 Thinking Sonnet
Claude 3.7 Thinking SonnetRunner-up

Not enough votes to call it. On the specs, Claude Fable 5 has the edge: bigger model tier, newer, bigger context window.

Slight edge

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Claude 3.7 Thinking Sonnet
Input
$6.00
1.7× cheaper
Output
$30.00
1.7× cheaper
Claude Fable 5
Input
$10.00
Output
$50.00

Claude 3.7 Thinking Sonnet is cheaper on both: 1.7× input, 1.7× output.

Where to run it

4 hosts

Claude 3.7 Thinking Sonnet

No hosts listed on OpenRouter.

Claude Fable 54 hosts
HostInOutContextUptime
Amazon Bedrock$10.00 in·$50.00 out·1M—Azure AI Foundry$10.00 in·$50.00 out·1M·89.3% upAnthropic$10.00 in·$50.00 out·1M·99.7% upGoogle Vertex AI$10.00 in·$50.00 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 22 Sep 2026.

Writing DNA

Style Comparison

Similarity
61%

Claude Fable 5 uses 58.2x more emoji

Claude 3.7 Thinking Sonnet
Claude Fable 5
62%Vocabulary60%
51wSentence Length22w
0.62Hedging0.49
2.0Bold4.0
4.1Lists3.5
0.00Emoji0.58
1.63Headings1.09
0.17Transitions0.05
Based on 26 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

Both are developed by Anthropic but target different use cases. Claude 3.7 Thinking Sonnet has a 200K token context window vs Claude Fable 5's 1.0M. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

It depends on your use case. Claude 3.7 Thinking Sonnet and Claude Fable 5 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.

Claude 3.7 Thinking Sonnet costs $6/M input tokens and Claude Fable 5 costs $10/M input tokens. Claude 3.7 Thinking Sonnet is $4.00/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

This page shows a side-by-side comparison of Claude 3.7 Thinking Sonnet and Claude Fable 5 across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.

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Model pages

Claude 3.7 Thinking Sonnet logo
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