Claude Fable 5
claude-fable-5
70% in · 30% out mix
Higher = better value
Speed
55/100
Context
1.0M
Tier
power
Claude Sonnet 5
claude-sonnet-5
70% in · 30% out mix
Higher = better value
Speed
88/100
Context
1.0M
Tier
smart
IN-DEPTH ANALYSIS
Claude Fable 5 vs Claude Sonnet 5: Detailed Comparison
Claude Fable 5 is Anthropic's flagship-tier language model with a 1.0M-token context window, excelling at coding. Claude Sonnet 5 from Anthropic is a mid-range-tier model supporting 1.0M tokens in context, with standout performance in coding.
Claude Fable 5 costs 3.3x what Claude Sonnet 5 does per blended million tokens. That is a steep premium, and it buys a 13-point lead on combined coding and reasoning. Whether that trade is worth it depends entirely on how much of your traffic actually needs the harder model — for most workloads the honest answer is a small fraction of it, which is an argument for routing rather than for picking one. Claude Fable 5 is priced at $10.00/M input tokens and $50.00/M output tokens. Claude Sonnet 5 costs $3.00/M input and $15.00/M output.
In independent benchmark evaluations, Claude Fable 5 leads with coding scores of 100/100 and reasoning scores of 100/100, compared to Claude Sonnet 5's 95/100 in coding and 92/100 in reasoning.
Capability breakdown
Across the five core benchmark categories, here is how Claude Fable 5 and Claude Sonnet 5 stack up head to head:
Best model by task
- coding: Claude Fable 5 wins with 100/100
- reasoning: Claude Fable 5 wins with 100/100
- data extraction: Claude Fable 5 wins with 97/100
- creative tasks: Claude Fable 5 wins with 98/100
- vision/multimodal: Claude Fable 5 wins with 96/100
Estimated monthly cost at scale
At 10M + 2M per month, Claude Fable 5 runs about $200.00 while Claude Sonnet 5 runs about $60.00 — Claude Sonnet 5 saves roughly $140.00 (70%) every month.
What actually decides it
Both models come from Anthropic, so they share a tokenizer, an API surface, and a billing account. Switching between them is a model-string change and nothing else — no new SDK, no re-tokenizing your prompts to re-estimate cost, no second vendor to onboard. That makes routing between them far cheaper to implement than a cross-vendor split.
Claude Fable 5 and Claude Sonnet 5 were released within 1 months of each other, so they are competing on the same evaluations under roughly the same conditions. That makes a direct benchmark comparison meaningful here in a way it usually is not — neither model has the advantage of being measured on a newer, easier set of tests.
Context is effectively a tie: 1.0M against 1.0M. Neither model unlocks a document size the other cannot handle, so this axis should not enter the decision. If you were hoping context would break the tie for you, it will not.
Latency separates them: Claude Sonnet 5 scores 88/100 against 55/100 for Claude Fable 5, a 33-point gap. That matters for anything a person waits on — chat, autocomplete, interactive tools. For batch and background work it does not, and trading latency for capability there is usually the right call.
Claude Fable 5 is 3.3x the price of Claude Sonnet 5. Reserve it for the requests that actually need it and route the rest to Claude Sonnet 5 — that hybrid beats either model used alone on cost per useful answer.
Benchmark Comparison
Head-to-head scores across 5 categories — sourced from official evals
Coding
Reasoning
Extraction
Creative
Vision
Speed Score
Context Window
What Is a Token?
Models don't read words — they process tokens.
A token is roughly 4 characters of English text (~¾ of a word). Your API bill is priced per million tokens — understanding this directly reduces your costs.
Short phrase
"Hello, world!"
- Claude Fable 5
- $4.40
- Claude Sonnet 5
- $1.26
Business email
One typical email (~200 words)
- Claude Fable 5
- $297.00
- Claude Sonnet 5
- $85.05
Code file
50-line Python script
- Claude Fable 5
- $440.00
- Claude Sonnet 5
- $126.00
Prices shown are for 100,000 runs of each workload — one run costs a fraction of a cent on both Claude Fable 5 and Claude Sonnet 5, so the number only becomes meaningful at production volume. Input tokens only; add your output volume in the calculator below.
How to check your token usage
response.usage.total_tokensEvery API response includes a usage object. Sum total_tokens across all calls to get your monthly figure, then use the calculator below.
Your Cost Calculator
Enter your actual monthly token usage to see real savings
Quick Presets
Claude Fable 5
$660.00/mo
$7,920.00/yr
Claude Sonnet 5
$198.00/mo
$2,376.00/yr
Annual Savings
$5,544.00 saved per year
Claude Sonnet 5 cheaper · $462.00/mo
Deep-Dive Audit — Claude Fable 5 & Claude Sonnet 5
Surgically Auditing: Deep Logic
3-YEAR STRATEGIC LOSS PROJECTION
$2,071.404
Without optimization protocols, current model choices will result in $690.468 capital loss per year.
EFFICIENCY SCORE
100%
This model achieves a 100 benchmark score in this category.
CATEGORY GAP
LEADER
You are the market leader in this category.
Competitive Landscape Analysis
Source: MMLU-Pro + GPQA Diamond (Apr 2026)
Category Champion: Claude Fable 5
According to MMLU-Pro + GPQA Diamond (Apr 2026) data, Claude Fable 5 provides the optimum balance for Deep Logic tasks.
Market Score
%100
Savings Rate
%96
Operational Prescription
- Implement model cascading to optimize token spend.
- Analyze complex_reasoning data to leverage local semantic caching.
COST AUDIT PROTOCOL
Overkill Detected
"Claude Fable 5 is overpriced for this task type. Claude Fable 5 scores 100 in this category at a fraction of the cost."
Categorical Alternative Opportunity
"Claude Fable 5 leads this category with 100 points according to MMLU-Pro + GPQA Diamond (Apr 2026) data."
Inertia Tax Detected
"85% of traffic can be routed to cheaper models. Fast tier (GPT-5 Nano) and Smart tier (o3-mini) can save $57.54/month."
3-Tier Intelligent Routing Architecture
96% SAVINGS VIA ROUTINGGPT-5 Nano
IQ Score: 72/100
$18.00/yr
o3-mini
IQ Score: 97/100
$277.20/yr
DeepSeek R1
IQ Score: 97/100
$59.184/yr
Without tiered routing, you pay the 'Inertia Tax' — routing all traffic to the most expensive model regardless of task complexity. Tiered cascade eliminates $8,285.616/year in avoidable overhead.
Deep Logic — Model Cost / Quality Matrix
Source: MMLU-Pro + GPQA Diamond (Apr 2026)| Model | Benchmark | Input (per M) | Output (per M) | Annual Cost* | Value Index |
|---|---|---|---|---|---|
Claude Fable 5SELECTEDLEADER | 100/100 | $10.00 | $50.00 | $720.00 | 5/100 |
GPT-5.6 Sol | 99/100 | $5.00 | $30.00 | $420.00 | 8/100 |
Claude Opus 5 | 98/100 | $5.00 | $25.00 | $360.00 | 9/100 |
Claude Opus 4.6 | 98/100 | $5.00 | $25.00 | $360.00 | 9/100 |
o3-mini | 97/100 | $1.10 | $4.40 | $66.00 | 50/100 |
DeepSeek R1BEST VALUE | 97/100 | $0.55 | $2.19 | $32.88 | 100/100 |
Claude Opus 4.8 | 96/100 | $5.00 | $25.00 | $360.00 | 9/100 |
GPT-5.2 Chat | 96/100 | $1.75 | $14.00 | $189.00 | 17/100 |
Claude 3.7 Sonnet | 95/100 | $3.00 | $15.00 | $216.00 | 15/100 |
GPT-5.6 Terra | 94/100 | $2.00 | $12.00 | $168.00 | 19/100 |
Claude 3.5 Sonnet | 93/100 | $3.00 | $15.00 | $216.00 | 15/100 |
GPT-4.1 | 93/100 | $2.00 | $8.00 | $120.00 | 26/100 |
Claude Sonnet 5 | 92/100 | $3.00 | $15.00 | $216.00 | 14/100 |
Claude 3 Opus | 90/100 | $15.00 | $75.00 | $1,080.00 | 3/100 |
Grok 4.5 | 90/100 | $2.00 | $6.00 | $96.00 | 32/100 |
GPT-4o | 90/100 | $2.50 | $10.00 | $150.00 | 20/100 |
Gemini 3.1 Pro | 89/100 | $2.00 | $12.00 | $168.00 | 18/100 |
Gemini 2.0 Pro | 88/100 | $1.25 | $5.00 | $75.00 | 40/100 |
Llama 3.1 405B | 88/100 | $2.70 | $2.70 | $64.80 | 46/100 |
Gemini 1.5 Pro | 87/100 | $1.25 | $5.00 | $75.00 | 39/100 |
Mistral Large 2 | 86/100 | $2.00 | $6.00 | $96.00 | 30/100 |
* Annual cost for given volumes. Value Index = Score / Cost (Higher = Best Value).
// iOPTERA Surgical Routing Wrapper
const auditModel = async (prompt: string) => {
const complexity = measureComplexity(prompt);
// Tactical Cascade Logic
if (complexity < 0.45) {
// Redirect simple tasks to efficient model
return await llm.call("iOPTERA Optimization", prompt);
}
// High-latency routing for complex reasoning
return await llm.call("Claude Fable 5", prompt);
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