Claude · Flagship · 1,000K context window
$0.2250 per call at 15,000 input / 1,500 output tokens.
Per call
$0.2250
10K calls/mo
$2,250
Cache savings
90% off input
Batch savings
50% off all
Adjust token counts, volume, and discount toggles to model your pdf summarization spend. Prices verified daily against provider pricing pages.
Call Claude Fable 5 with the Anthropic Python SDK:
from anthropic import Anthropic
client = Anthropic()
response = client.messages.create(
model="claude-fable-5",
max_tokens=1500,
messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.2250 per call at standard rates
# Input: $10.00/MTok
# Output: $50.00/MTokPer-call cost for all models scoring 50+ on pdf summarization benchmarks. Hover for details.
Cheapest viable option: GPT 5.6 Luna at $0.004800/call (98% less, 84/100 quality).
PDFs are the worst case for input cost: extracted text carries page furniture, headers, and footnotes that inflate token counts well past what the content warrants. Cleaning the extraction before sending it often cuts more cost than changing models. Long PDFs also routinely cross long-context pricing thresholds, so chunking is both a quality and a cost decision.
For Claude Fable 5 specifically, that means output tokens cost 5.0x more than input, at $50.00 vs $10.00 per MTok. At this use case’s 15,000/1,500 token split, output accounts for 33% of the $0.2250 per-call cost.
| Direction | $/MTok | Tokens per call |
|---|---|---|
| Input | $10.00 | 15,000 |
| Output | $50.00 | 1,500 |
Caching drops input cost from $10.00 to $1.00/MTok. For repeated system prompts, that saves $0.1350 per call.
Submit requests asynchronously and receive 50% off all token costs. This works best for offline pipelines where latency requirements are flexible.
| Monthly volume | Cost per call | Standard monthly | Cached monthly | You save with caching |
|---|---|---|---|---|
| 10,000 calls | $0.2250 | $2,250 | $900 | $1,350 |
| 50,000 calls | $0.2250 | $11,250 | $4,500 | $6,750 |
| 100,000 calls | $0.2250 | $22,500 | $9,000 | $13,500 |
| 500,000 calls | $0.2250 | $112,500 | $45,000 | $67,500 |
| 1,000,000 calls | $0.2250 | $225,000 | $90,000 | $135,000 |
Use Claude Fable 5 for pdf summarization
Scores 90/100 (rank #3 of 20). Strong pick for production pdf summarization workloads.
Top-ranked: GPT 5.6 Terra (92/100) at $0.0480/call
Claude Fable 5 scores by task type. PDF Summarization highlighted.
| Task type | Confidence score | Rank out of 20 |
|---|---|---|
| Reasoning | 98/100 | #1 |
| Code Generation | 96/100 | #1 |
| Code Review | 95/100 | #1 |
| Creative Writing | 95/100 | #1 |
| Summarization(current page) | 90/100 | #3 |
| Q&A | 88/100 | #4 |
| Extraction | 85/100 | #4 |
| Classification | 82/100 | #5 |
Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 8 weeks old, so treat the scores as directional and validate against your own evals.
12 models score 80+ on pdf summarization benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (98% less, 84/100 quality).
| Model | Provider | Input $/MTok | Output $/MTok | Quality | Per call | vs Claude |
|---|---|---|---|---|---|---|
| GPT 5.6 Luna | GPT | $0.20 | $1.20 | 84/100 | $0.004800 | 98% cheaper |
| Gemini 3 Flash | Gemini | $0.50 | $3.00 | 83/100 | $0.0120 | 95% cheaper |
| Claude Haiku 4.5 | Claude | $1.00 | $5.00 | 82/100 | $0.0225 | 90% cheaper |
| Gemini 3.5 Flash | Gemini | $1.50 | $9.00 | 85/100 | $0.0360 | 84% cheaper |
| Claude Sonnet 5 | Claude | $2.00 | $10.00 | 91/100 | $0.0450 | 80% cheaper |
| GPT 5.6 Terra | GPT | $2.00 | $12.00 | 92/100 | $0.0480 | 79% cheaper |
| Gemini 3.1 Pro | Gemini | $2.00 | $12.00 | 87/100 | $0.0480 | 79% cheaper |
| GPT 5.4 | GPT | $2.50 | $15.00 | 91/100 | $0.0600 | 73% cheaper |
| Claude Sonnet 4.6 | Claude | $3.00 | $15.00 | 90/100 | $0.0675 | 70% cheaper |
| GPT 5.6 Sol | GPT | $4.00 | $20.00 | 90/100 | $0.0900 | 60% cheaper |
| Claude Opus 4.8 | Claude | $5.00 | $25.00 | 88/100 | $0.1125 | 50% cheaper |
| GPT 5.5 | GPT | $5.00 | $30.00 | 89/100 | $0.1200 | 47% cheaper |
Provider
Claude
Tier
Flagship
Context
1,000K tokens
Released
Jun 2026
| Model | Tier | Input $/MTok | Output $/MTok | Context |
|---|---|---|---|---|
| Claude Opus 4.8 | Flagship | $5.00 | $25.00 | 200K |
| Claude Sonnet 4.6 | Mid-tier | $3.00 | $15.00 | 200K |
| Claude Haiku 4.5 | Fast / Budget | $1.00 | $5.00 | 200K |
| Claude Sonnet 5 | Mid-tier | $2.00 | $10.00 | 200K |
| Claude Opus 5 | Flagship | $5.00 | $25.00 | 1,000K |
| Claude Fable 5.1 | Flagship | $10.00 | $50.00 | 1,000K |
You can compare Claude Fable 5 head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.
See how Claude Fable 5 costs change across different workload types.
Code Generation
$0.2200/call
Unit Test Generation
$0.2800/call
SQL Generation
$0.0650/call
API Generation
$0.3300/call
Code Refactoring
$0.2400/call
Code Review
$0.1500/call
PR Review
$0.2300/call
Security Review
$0.1850/call
Bug Detection
$0.1500/call
Document Summarization
$0.1500/call
Meeting Notes
$0.1800/call
Email Summarization
$0.0550/call
Chatbot
$0.0700/call
RAG Pipeline
$0.1350/call
Customer Support Bot
$0.0800/call
FAQ Bot
$0.0550/call
Data Extraction
$0.0900/call
JSON Extraction
$0.0700/call
Invoice Parsing
$0.0500/call
Resume Parsing
$0.0650/call
Chain of Thought
$0.2800/call
Legal Analysis
$0.3000/call
Math Reasoning
$0.1650/call
Financial Analysis
$0.2800/call
Content Moderation
$0.0100/call
Sentiment Analysis
$0.0100/call
Categorization
$0.0155/call
Intent Detection
$0.008000/call
Copywriting
$0.1050/call
Blog Writing
$0.4100/call
Marketing Copy
$0.1580/call
Product Descriptions
$0.0800/call
A typical pdf summarization call using Claude Fable 5 costs about $0.2250 per call. This estimate uses 15,000 input tokens and 1,500 output tokens at standard rates. Standard rates are $10.00 per million input tokens and $50.00 per million output tokens.
Claude Fable 5 scores 90 out of 100 on pdf summarization benchmarks overall. It ranks #3 across all 20 models in our cross-provider registry. The highest-ranked model for this task is GPT 5.6 Terra from GPT. That model scores 92/100 on this task type. Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 8 weeks old, so treat the scores as directional and validate against your own evals.
The most affordable model for pdf summarization above 80/100 quality is GPT 5.6 Luna. It comes from GPT at $0.20 per million input tokens. Output costs $1.20 per million tokens with a quality score of 84/100. Switching from Claude Fable 5 to GPT 5.6 Luna saves about 98% per API call.
Three strategies lower Claude Fable 5 costs for this task type effectively. Prompt caching gives a 90% discount on input tokens when reusing system prompts. The batch API gives 50% off all tokens for asynchronous processing workloads. Prompt optimization reduces token counts through more concise instructions and context windows. Combining caching with batching brings your cost from $0.2250 to about $0.0112 per call.
Claude has 6 other models alongside Claude Fable 5 today: Claude Opus 4.8 at $5.00/$25.00 per million tokens (flagship), Claude Sonnet 4.6 at $3.00/$15.00 per million tokens (mid-tier), Claude Haiku 4.5 at $1.00/$5.00 per million tokens (fast / budget), Claude Sonnet 5 at $2.00/$10.00 per million tokens (mid-tier), Claude Opus 5 at $5.00/$25.00 per million tokens (flagship), Claude Fable 5.1 at $10.00/$50.00 per million tokens (flagship). The right choice depends on whether your pdf summarization workload prioritizes quality, cost, or speed.
Claude Fable 5 supports a context window of 1,000K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For pdf summarization, typical calls use 15,000 input and 1,500 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.
This calculator estimates costs based on published rates only. Connect your API usage to see where your money goes and which models drive your spend.