A rate per million tokens is not a budget. The calculator takes your request volume, prompt size and cache hit rate and gives you a monthly figure.
Claude Fable 5.1 API pricing (October 2026)
1M-token context window at standard pricing.
What it costs at real volumes
A chat-shaped workload: 800 input tokens and 300 output tokens per request, no caching, no batch.
Specifications
- Provider
- Anthropic Claude
- Context window
- 1.0M tokens
- Max output
- 128K tokens
- Tier
- frontier
- Status
- GA
- Blended $/1M (3:1)
- $20.00
- Cache break-even hit rate
- 20%
- Prices verified
- 12 Oct 2026
Source: Anthropic Claude pricing. Finitizer is not affiliated with Anthropic Claude.
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- Claude Opus 4.1+$10.00
- Claude Sonnet 4.5-$14.00
- Claude Haiku 4.5-$18.00
- Claude Haiku 3.5-$18.40
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- GPT-6 Astrasame price
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Frequently asked questions
How much does Claude Fable 5.1 cost per 1M tokens?
Claude Fable 5.1 costs $10.00 per million input tokens and $50.00 per million output tokens at Anthropic Claude list prices. Output is 5.0x the input rate, so the input:output ratio of your workload drives the real cost more than the headline price.
Does Claude Fable 5.1 support prompt caching?
Yes. Cached input is billed at $0.250 per million tokens, 40x cheaper than uncached input. Cache writes carry a premium, so caching only pays above roughly a 20% hit rate.
What is the batch discount for Claude Fable 5.1?
Requests submitted through the asynchronous batch endpoint are billed at 50% off both input and output rates, bringing input to $5.00 and output to $25.00 per million tokens.
What is Claude Fable 5.1's context window?
1.0M tokens of context with up to 128K output tokens per request. A larger context window raises the ceiling on what you can send, not the price per token, but filling it on every request is one of the most common causes of an unexpected bill.
Running Claude Fable 5.1 in production?
Finitizer Tokenomics reads what this model actually costs you from your own bills and exports, shows which workload, team or API key is spending it, flags a spike or a new spend source the day your data shows it, and forecasts where the month will land.
See how Finitizer works