Updated Aug 23, 2026Verified Benchmark Data
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Claude Fable 5 vs Claude Opus 5: AI Model Comparison

Compare Claude Fable 5 and Claude Opus 5 on factual correctness, 2,668 Arena coding Elo, UI Artifacts, reasoning benchmarks, and token pricing.

Claude Fable 5 logo

Claude Fable 5

by Anthropic

9.5/10
Overall Rating
Factual Non-HallucinationAutonomous Engineer

Anthropic's specialized frontier model optimized for flawless factual rigor, scientific analysis, and formal logic reasoning.

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1Mtokens context window
16Ktokens max output
$20/monthper month (Plus / Pro)
Try Claude Fable 5
Claude Opus 5 logo

Claude Opus 5

by Anthropic

9.7/10
Overall Rating
Coding & UI ArtifactsCost Efficiency

Anthropic's flagship Dense (~220B) model leading human preference with a 2,668 Arena Elo, pristine coding accuracy, and 1M context.

View model details
1Mtokens context window
16Ktokens max output
$20/monthper month (Pro / Team)
Try Claude Opus 5

Our Pick: Claude Opus 5

Claude Opus 5 is the overall champion for software engineering, UI design, and general enterprise usage at half the price ($7.22/M); Claude Fable 5 wins for zero-hallucination compliance.

See Detailed Analysis

Benchmark Performance

Side-by-side results on major industry benchmarks (higher is better)

Claude Fable 5
Claude Opus 5
100
80
60
40
20
0
92.4%
91.2%
73.2%
71.4%
90.4%
91.6%
98.4%
98.1%
48.8%
48.8%
1,950
2,668
MMLU(Knowledge)
GPQA(Graduate Q&A)
MATH(Competition)
ARC(Reasoning)
SWE-bench(Engineering)
LMSYS Arena ELO(Human Preference)

Feature Comparison

Compare core capabilities and tool support.

FeatureClaude Fable 5Claude Opus 5
Text & Code Generation
Image & Vision Understanding
Video & Audio Generation
Web Browsing / Search
Code Execution Environment
Autonomous Computer Use
Long Context Window
Multi-step Agentic Workflows
Custom Bots / Extensions
Fine-tuning

Use Case Ratings

How each model performs in real-world scenarios (1-10).

Use CaseClaude Fable 5Claude Opus 5
Coding & Development
9
10
Writing & Content Creation
10
10
Research & Analysis
10
10
Creative Tasks
9
10
Data Analysis
10
9
Conversation & Nuance
9
10
Education & Tutoring
10
10
Math & Science
10
9
Summarization
10
10

Pricing Comparison(Per 1M Tokens)

ModelInput TokensOutput TokensBlended CostMonthly (100M tokens)
Claude Fable 5$4.00$20.00~$8.00~$800
Claude Opus 5$3.00$15.00~$6.00~$600

Claude Opus 5 is 25% cheaper

For the same performance tier, Claude Opus 5 offers exactly half the API cost of Claude Fable 5.

Pros & Cons

Claude Fable 5 logo

Claude Fable 5

Pros
  • Industry-lowest hallucination rate on high-stakes queries
  • Superior accuracy on legal, clinical, and regulatory text (92.4% MMLU)
  • Matches Opus 5 on SWE-Bench verified coding (48.8%)
  • Strict constitutional compliance and refusal of unverified claims
Cons
  • 2x higher API token pricing ($14.40/M vs $7.22/M blended)
  • LMSYS Arena Elo of 1,950 compared to 2,668 for Opus 5
Claude Opus 5 logo

Claude Opus 5

Pros
  • Global #1 in LMSYS Arena human preference (2,668 Elo)
  • 50% lower API token pricing ($7.22/M vs $14.40/M)
  • Superior front-end UI design and interactive Artifacts creation
  • Higher HumanEval coding benchmark (93.8% vs 91.5%)
Cons
  • Slightly higher rate of creative extrapolation in ambiguous research
  • Slightly lower MMLU score (91.2% vs 92.4% for Fable)

Frequently Asked Questions

When should an engineering team choose Fable 5 over Opus 5?

Choose Fable 5 when building automated compliance engines, pharmaceutical trial validators, or legal clause check systems where any hallucination carries severe legal or financial consequences.

Do both models support 1M context with prompt caching?

Yes. Both Claude Fable 5 and Claude Opus 5 support 1,000,000 tokens of context with prompt caching (5-minute TTL cache writes and 90% read discounts).

Final Takeaway

Choose Claude Opus 5 for software engineering, front-end UI design with Artifacts, creative synthesis, and general enterprise tasks at $7.22/M. Choose Claude Fable 5 for regulatory auditing, legal contract verification, and clinical literature where factual correctness is paramount.

Detailed In-Depth Analysis

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