Claude Fable 5.2

AnthropicKey claude-fable-5-2Also reported as anthropic/claude-fable-5-2, claude/claude-fable-5-2, anyrouter/claude-fable-5-2, my anthropic sub/claude-fable-5-2, router_client:unknown/claude-fable-5-2

Rank
#64
by active users
Active users
255
All time
Adoption
10%
of 2,466 accounts
Tokens
195.8B
cache included
Est. cost
$135.8K
at public list prices
First seen
Oct 29, 2026
in any submission

Oct 10, 2024 – Nov 13, 2026 (UTC)2,466 accounts100% of tokens from an identified modelData through Nov 13, 2026, 06:20 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

56 active users on Nov 13, 2026

Daily active users for Claude Fable 5.2, Oct 10, 2024 to Nov 13, 2026. Peak 181. Use the left and right arrow keys to read each day.2001000
Show daily values
Daily active users and tokens for Claude Fable 5.2
Date (UTC)Active usersTokens
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Oct 29, 20261391K
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Nov 5, 202611.4M
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Nov 8, 2026153.7M
Nov 9, 2026459.2B
Nov 10, 202618160.6B
Nov 11, 202617870.8B
Nov 12, 202614944.7B
Nov 13, 20265610.4B

Token mix

How the 195.8B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input0.2%
  • Output0.5%
  • Cache read96%
  • Cache write2.9%
  • Reasoning<0.1%

Agents that carry Claude Fable 5.2

Each agent's share of this model's tokens, and how many accounts used the model through it.

  1. Claude Code66% of this model's tokens227active users
  2. Senpi (OmO Native)15% of this model's tokens20active users
  3. Oh My Pi8.3% of this model's tokens14active users
  4. Pi7.5% of this model's tokens7active users
  5. OpenCode1.6% of this model's tokens7active users
  6. Gajae Code0.9% of this model's tokens1active users
  7. Hermes Agent0.4% of this model's tokens6active users
  8. OpenClaw<0.1% of this model's tokens1active users
  9. DeepSeek Harness<0.1% of this model's tokens1active users
  10. Synthetic<0.1% of this model's tokens1active users
  11. Junie<0.1% of this model's tokens1active users

Benchmarks

The best result for Claude Fable 5.2 in each benchmark Tokscale tracks. Each benchmark has its own unit, run conditions and source, so compare a score only with other models on the same benchmark. Rank is among the models Tokscale matched in that benchmark.

All benchmarks
  • Epoch Capabilities IndexOverall · Epoch AI
    173.4
    Rank #1 of 158 matched modelsNo conditions reportedModel released Nov 9, 2026Source: epoch.ai (opens in a new tab)
  • CursorBenchAgentic coding · Cursor, collected by Epoch AI
    60.0%
    Rank #2 of 21 matched modelsMaxModel released Nov 9, 2026Source: cursor.com (opens in a new tab)
    Show 4 more results with other run conditionsHide the other results
    • Listed as Fable 5.2 High
      56.9%
      HighModel released Nov 9, 2026Source: cursor.com (opens in a new tab)
    • Listed as Fable 5.2 Extra High
      56.3%
      XHighModel released Nov 9, 2026Source: cursor.com (opens in a new tab)
    • Listed as Fable 5.2 Medium
      54.8%
      MediumModel released Nov 9, 2026Source: cursor.com (opens in a new tab)
    • Listed as Fable 5.2 Low
      53.2%
      LowModel released Nov 9, 2026Source: cursor.com (opens in a new tab)
  • FrontierSWEAgentic coding · FrontierSWE, collected by Epoch AI
    69.9%
    Rank #1 of 23 matched modelsMax · proximusModel released Nov 9, 2026Source: frontierswe.com (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    93.9%
    Rank #17 of 160 matched modelsMaxRun date Nov 6, 2026Source: epoch.ai (opens in a new tab)

    Near its ceiling: the top score is 96.5%, and Epoch AI estimates the reachable maximum at 97%. Differences between top models are small.

  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    95.1%
    Rank #1 of 90 matched modelsMaxRun date Nov 6, 2026Source: epoch.ai (opens in a new tab)

    Near its ceiling: the top score is 95.1%, and Epoch AI estimates the reachable maximum at 95%. Differences between top models are small.

  • SimpleQA VerifiedKnowledge · Epoch AI
    94.0%
    Rank #1 of 86 matched modelsMaxRun date Nov 6, 2026Source: epoch.ai (opens in a new tab)

Not evaluated: Humanity's Last Exam, Terminal-Bench 4.1, DeepSWE, Agent Arena, WebDev Arena. A missing result is not a score of zero.

Pricing

List prices from models.dev in US dollars per 1M tokens, retrieved Nov 12, 2026. Anthropic is the lab's own API and the reference price for the estimates below.

Price at real agent usageEstimate at list prices

What 1M tokens cost at the reference list price when they split into input, output and cache the way Tokscale users' agents used them. It is not what anyone paid.

At this model's mix
$0.69
Est. per 1M tokens
96% cache reads
At the community mix
$0.94
Est. per 1M tokens
93% cache reads
3:1 input/output blend
$16
Per 1M tokens at list prices
No cache

Cache reads were 96% of Claude Fable 5.2 tokens across all time and 93% of all tokens. The 3:1 blend, (3 × input + output) ÷ 4, is the usual comparison and ignores cache.

Assumptions

  • Anthropic list prices per 1M tokens: input $8, output $40, cache read $0.20, cache write $10.
  • This model's mix is its own input, output, cache and reasoning tokens across all time.
  • The community mix is the tokens of every identified model across all time.
  • This is an estimate at list prices, not what anyone paid.
  • Reasoning tokens are priced as output.
  • Long-context tiers, batch pricing and discounts are not applied.
  • Token mixes come from public Tokscale submissions. Hidden accounts are excluded.

List prices by provider

  • AnthropicReferenceclaude-fable-5-2
    $8 input per 1M tokens$40 output per 1M tokens$0.20 cache read per 1M tokens$10 cache write per 1M tokens1M tokens of context
  • Amazon Bedrockanthropic.claude-fable-5-2
    $8 input per 1M tokens$40 output per 1M tokens$0.20 cache read per 1M tokens$10 cache write per 1M tokens1M tokens of context
  • Vertexclaude-fable-5-2@default
    $8 input per 1M tokens$40 output per 1M tokens$0.20 cache read per 1M tokens$10 cache write per 1M tokens1M tokens of context
  • Vertex (Anthropic)claude-fable-5-2@default
    $8 input per 1M tokens$40 output per 1M tokens$0.20 cache read per 1M tokens$10 cache write per 1M tokens1M tokens of context
Show 3 more providersShow fewer providers
  • Azureclaude-fable-5-2
    $8 input per 1M tokens$40 output per 1M tokens$0.20 cache read per 1M tokens$10 cache write per 1M tokens1M tokens of context
  • OpenRouteranthropic/claude-fable-5.2
    $8 input per 1M tokens$40 output per 1M tokens$0.20 cache read per 1M tokens$10 cache write per 1M tokens1M tokens of context
  • Vercel AI Gatewayanthropic/claude-fable-5.2
    $8 input per 1M tokens$40 output per 1M tokens$0.20 cache read per 1M tokens$10 cache write per 1M tokens1M tokens of context

Specs

From models.dev (MIT), retrieved Nov 12, 2026, as the lab or the first listed provider reports them. A dash means models.dev does not list the value.

Context window
1M tokens
Max output
128K tokens
Input
Text, Image, PDF
Output
Text
Knowledge cutoff
Jun 2026
Release date
Nov 9, 2026
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used Claude Fable 5.2 most in this period, by tokens. Hidden accounts are never listed.

  1. 1Max Ghenis@MaxGhenis16.7Btokens$11.6Kest. cost4active days$11.6K est. cost · 4 active days
  2. 2YeonGyu-Kim@code-yeongyu15.3Btokens$14.2Kest. cost4active days$14.2K est. cost · 4 active days
  3. 3LJM@lee98www11.9Btokens$9.3Kest. cost4active days$9.3K est. cost · 4 active days
  4. 4INONONO@INONONO665.4Btokens$4.7Kest. cost3active days$4.7K est. cost · 3 active days
  5. 5Chase Huh@chasehuh4.9Btokens$2Kest. cost3active days$2K est. cost · 3 active days
  6. 6Brad Lishman@bradlishman4.2Btokens$2.2Kest. cost4active days$2.2K est. cost · 4 active days
  7. 7Minsub Kim@gazzua4Btokens$2.7Kest. cost2active days$2.7K est. cost · 2 active days
  8. 8Carlos Lage@cblage3.9Btokens$2.8Kest. cost5active days$2.8K est. cost · 5 active days
  9. 9Journey Hwang@journeyWorker3.5Btokens$3.2Kest. cost2active days$3.2K est. cost · 2 active days
  10. 10Youkam Jeong.@Youkamii3.1Btokens$2Kest. cost3active days$2K est. cost · 3 active days

More from Anthropic

Other Anthropic models in the same period, by active users.

  1. Claude Haiku 4.574% adoption1,815active users
  2. Claude Sonnet 4.664% adoption1,571active users
  3. Claude Opus 4.658% adoption1,419active users
  4. Claude Opus 4.851% adoption1,264active users
  5. Claude Sonnet 543% adoption1,062active users
  6. Claude Opus 543% adoption1,058active users
All models

Sources and attribution

Each score keeps its own source, unit and run conditions. Tokscale does not combine benchmarks into one score, and a missing score means the model was not evaluated, not that it scored zero.

  • Epoch AIEpoch Capabilities Index, Epoch's own runs and the external results it collects.CC BY 4.0 · Retrieved Nov 12, 2026 · Data through Nov 9, 2026Epoch AI, ‘Capabilities & benchmarking’. Published online at epoch.ai. Retrieved from https://epoch.ai/benchmarks.
  • models.devSpecs and list prices per provider.MIT · Retrieved Nov 12, 2026models.dev, an open catalog of AI models (github.com/anomalyco/models.dev).
  • TokscaleActive users, tokens and token mix from public Tokscale submissions. Hidden accounts are excluded.How we count