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OPTERA LABS

Claude Fable 5 VS GPT-5.6 Sol

2026 Cost & Performance Comparison
Model A · Anthropic

Claude Fable 5

claude-fable-5

Intelligence Score100%
Cost / 1M Tokens$22.00

70% in · 30% out mix

Value Index(score÷cost)
4.5

Higher = better value

Speed

55/100

Context

1.0M

Tier

power

Model B · OpenAI

GPT-5.6 Sol

gpt-5-6-sol

Intelligence Score99%
Cost / 1M Tokens$12.50

70% in · 30% out mix

Value Index(score÷cost)
7.9

Higher = better value

Speed

70/100

Context

1.1M

Tier

power

IN-DEPTH ANALYSIS

Claude Fable 5 vs GPT-5.6 Sol: Detailed Comparison

Claude Fable 5 is Anthropic's flagship-tier language model with a 1.0M-token context window, excelling at coding. GPT-5.6 Sol from OpenAI is a flagship-tier model supporting 1.1M tokens in context, with standout performance in reasoning.

This is a genuine tradeoff rather than a clear win. Claude Fable 5 leads by 4 points on combined coding and reasoning, and charges 43% more per blended million tokens to do it. The margin is narrow enough that the answer depends on your workload: on tasks where the extra capability shows up, the premium pays for itself; on routine work it does not. Claude Fable 5 is priced at $10.00/M input tokens and $50.00/M output tokens. GPT-5.6 Sol costs $5.00/M input and $30.00/M output.

In independent benchmark evaluations, Claude Fable 5 leads with coding scores of 100/100 and reasoning scores of 100/100, compared to GPT-5.6 Sol's 97/100 in coding and 99/100 in reasoning.

Capability breakdown

Across the five core benchmark categories, here is how Claude Fable 5 and GPT-5.6 Sol stack up head to head:

coding
100
97
reasoning
100
99
data extraction
97
95
creative tasks
98
96
vision/multimodal
96
96

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

Estimated monthly cost at scale

At 10M + 2M per month, Claude Fable 5 runs about $200.00 while GPT-5.6 Sol runs about $110.00 — GPT-5.6 Sol saves roughly $90.00 (45%) every month.

What actually decides it

Claude Fable 5 and GPT-5.6 Sol come from different labs, which means different tokenizers, different API shapes, and a second vendor relationship. The same English text does not produce the same token count on both, so a price-per-million comparison understates the difference — measure your own prompts on each before treating the headline rates as the full story.

Claude Fable 5 and GPT-5.6 Sol were released within 0 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: 1.1M 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: GPT-5.6 Sol scores 70/100 against 55/100 for Claude Fable 5, a 15-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.

Neither model is the obvious answer. Claude Fable 5 leads on benchmarks, GPT-5.6 Sol on cost, and the gap is small on both. Run the calculator above with your real token mix — for most workloads that decides it faster than any benchmark table will.

Benchmark Comparison

Head-to-head scores across 5 categories — sourced from official evals

CategoryClaude FableGPT-5.6 SolWinner

Coding

100
97
A

Reasoning

100
99
A

Extraction

97
95
A

Creative

98
96
A

Vision

96
96
Tied
Claude Fable 5: 4 wins
GPT-5.6 Sol: 0 wins
Claude Fable 5 leads overall

Speed Score

55/100vs70/100
ClaudeGPT-5.6

Context Window

1000Kvs1050K
ClaudeGPT-5.6

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!"

4 tokens
Claude Fable 5
$4.40
GPT-5.6 Sol
$2.00

Business email

One typical email (~200 words)

~270 tokens
Claude Fable 5
$297.00
GPT-5.6 Sol
$135.00

Code file

50-line Python script

~400 tokens
Claude Fable 5
$440.00
GPT-5.6 Sol
$200.00

Prices shown are for 100,000 runs of each workload — one run costs a fraction of a cent on both Claude Fable 5 and GPT-5.6 Sol, 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_tokens

Every 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

30.0M TOKENS
Prompt 70%Completion 30%

Claude Fable 5

$660.00/mo

$7,920.00/yr

$10/M in$50/M out
CHEAPER

GPT-5.6 Sol

$375.00/mo

$4,500.00/yr

$5/M in$30/M out

Annual Savings

$3,420.00 saved per year

GPT-5.6 Sol cheaper · $285.00/mo

Deep-Dive Audit — Claude Fable 5 & GPT-5.6 Sol

SURGICAL AUDIT LAB6A1E356B

Surgically Auditing: Deep Logic

Leakage Detected

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%

Deep Logic

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 ROUTING
Fast Tier
50%

GPT-5 Nano

IQ Score: 72/100

$18.00/yr

Smart Tier
35%

o3-mini

IQ Score: 97/100

$277.20/yr

Power Tier
15%

DeepSeek R1

IQ Score: 97/100

$59.184/yr

Fast Tier 50%Smart Tier 35%Power Tier 15%

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)
ModelBenchmarkInput (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
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
Claude 3 Opus
90/100
$15.00$75.00$1,080.00
3/100
Llama 3.1 405B
88/100
$2.70$2.70$64.80
46/100

* Annual cost for given volumes. Value Index = Score / Cost (Higher = Best Value).

Tactical Code Gen
// 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);
};
READY TO DEPLOY IN Vercel Edge OR AWS Lambda

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