Claude Fable 5.1
by Anthropic · anthropic/claude-fable-5.1 · #403 cheapest of 422 paid models
Prices updated Sep 20, 2026, 12:34 AM UTC · refreshed hourly
Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...
Compare vs:GPT-5.6 SolGPT-5.6 TerraGPT-4.1GPT-4.1 Mini
Pricing
Input
$10.00
per 1M tokens
Output
$50.00
per 1M tokens
Blended (3:1)
$20.00
3 input : 1 output
Cache read
$0.25
per 1M cached tokens
Cache write
$12.50
per 1M tokens
Cache & batch economics
Effective prices for Claude Fable 5.1 with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $20.00 | $1.07 | — |
| 50% | $16.34 | $0.5825 | −46% |
| 90% | $13.42 | $0.1925 | −82% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates for this provider’s batch API. Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.02 | $20.00 |
| Document summary | 8,000 | 1,000 | $0.13 | $130.00 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.4 | $400.00 |
| Long-context analysis | 150,000 | 5,000 | $1.75 | $1,750 |
Performance
Intelligence Index
53.4
AA composite quality
Coding Index
81.6
Math Index
—
Agentic Index
58
Output speed
72 tok/s
median
Time to first token
155.99s
median
Time to first answer
155.99s
after reasoning tokens
Artificial Analysis benchmarks
| Benchmark | Score |
|---|---|
| GPQA Diamond | 93.7% |
| Humanity's Last Exam | 59.1% |
| SciCode | 63.1% |
| AA-LCR (Long Context Reasoning) | 85.3% |
| Terminal-Bench 2.1 | 91.4% |
| τ³-Bench Banking | 47.2% |
Design Arena Elo
| Category | Elo |
|---|---|
| Website | 1,322 |
| Web apps | 1,336 |
| Full-stack | 1,336 |
| UI components | 1,340 |
| Data viz | 1,368 |
| SVG | 1,347 |
| 3D | 1,422 |
| Game dev | 1,402 |
| Python→PPTX slides | 1,328 |
| Code categories | 1,346 |
| ASCII art | 1,330 |
Specs
Context window
1M
tokens
Max output
128K
tokens
Input modalities
text, image, file
Tokenizer
Claude