Claude Fable 5 — API Pricing & Benchmarks

Claude Fable 5 is Anthropic's previous-generation reasoning model, released in 2026-06. The API costs $10.0 per 1M input tokens and $50.0 per 1M output tokens ($20.0 blended at a 3:1 ratio), with cached input at $1.00. It supports a 1M-token context window. On the independently measured Artificial Analysis Intelligence Index it scores 62.1, ranking #3 of 68 models tracked on this site, with a median output speed of 68 tokens/sec.

Explore provider routes and additional benchmark sources for Claude Fable 5

ProviderAnthropic
Input price / 1M tokens$10.0
Output price / 1M tokens$50.0
Cached input / 1M tokens$1.00
Blended price (3:1)$20.0
Context window1M
Max output tokens128K
Knowledge cutoff2026-01
Licenseproprietary
Input modalitiesT+I
Output speed (tok/s)68
Released2026-06
Artificial Analysis Intelligence Index62.1
LMArena Elo1494
GPQA Diamond92.6%
AIME99.7%*
SWE-bench Verified95%
MMLU-Pro91.5%*
Humanity's Last Exam55.5%

Where Claude Fable 5 fits

On a blended 3:1 basis Claude Fable 5 costs $20.0 per 1M tokens, cheaper than 3% of the 80 priced models in this index. It is a previous-generation model: usually only worth choosing if you have an existing integration, negotiated pricing, or need its specific behavior, since newer siblings offer better price-performance. Measured output speed of 68 tokens/sec is below the index median of 104 — typical of reasoning-heavy models, and worth checking against interactive latency budgets. Cached input is priced at $1.00 (90% below standard input), which rewards prompt structures with long stable prefixes — see our caching guide.

Price history

PeriodInput $/1MOutput $/1MCached $/1M
2026-07-18 → current$10.0$50.0$1.00

No list-price changes recorded since tracking began. Full dataset: price-history.json (CC BY 4.0).

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About Anthropic

Anthropic builds the Claude family, organized into Opus (flagship), Sonnet (mid-tier) and Haiku (small) tiers alongside the Fable line. Claude models currently lead the Artificial Analysis Intelligence Index and are particularly strong on agentic-coding benchmarks such as SWE-bench Verified.

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