Claude Fable 5

AnthropicKey claude-fable-5Also reported as router_client:claude/claude-fable-5, anthropic/claude-fable-5, claude/claude-fable-5, vibeproxy/claude-fable-5, cc/claude-fable-5, cursor/claude-fable-5, router_client:unknown/claude-fable-5, my anthropic sub/claude-fable-5, aihubmix/claude-fable-5, doitac1/claude-fable-5, doitac2/claude-fable-5, th/claude-fable-5, hr-max/claude-fable-5, 0915f0f9-a93e-4e42-b660-62c0e6756904/claude-fable-5, xr/claude-fable-5, sekai/claude-fable-5

Rank
#43
by active users
Active users
41
Down 58 from 99 active users in the previous 30 days. vs previous 30 days
Adoption
4.3%
of 958 accounts
Tokens
12.9B
cache included
Est. cost
$24.3K
at public list prices
First seen
Apr 22, 2026
in any submission

Oct 14 – Nov 12, 2026 (UTC)958 accounts100% of tokens from an identified modelData through Nov 12, 2026, 01:30 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

0 active users on Nov 12, 2026

Daily active users for Claude Fable 5, Oct 14, 2026 to Nov 12, 2026. Peak 11. Use the left and right arrow keys to read each day.1580
Show daily values
Daily active users and tokens for Claude Fable 5
Date (UTC)Active usersTokens
Oct 14, 20269601M
Oct 15, 20267505.3M
Oct 16, 20267851.3M
Oct 17, 20263583.1M
Oct 18, 20263165.8M
Oct 19, 202661.1B
Oct 20, 20263407.8M
Oct 21, 202610329.5M
Oct 22, 202611260.2M
Oct 23, 2026101.7B
Oct 24, 20264756M
Oct 25, 202641.4B
Oct 26, 202611727.4M
Oct 27, 20266244.9M
Oct 28, 2026640.3M
Oct 29, 20266541.7M
Oct 30, 20265158.4M
Oct 31, 2026248.6M
Nov 1, 2026196.1M
Nov 2, 2026220M
Nov 3, 20264164.7M
Nov 4, 2026475.8M
Nov 5, 20267157.9M
Nov 6, 20266847.4M
Nov 7, 20263701.1M
Nov 8, 20263105.3M
Nov 9, 20264215M
Nov 10, 20265119.6M
Nov 11, 2026317.5M
Nov 12, 202600

Token mix

How the 12.9B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input1.9%
  • Output0.3%
  • Cache read94%
  • Cache write3.6%
  • Reasoning<0.1%

Agents that carry Claude Fable 5

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

  1. Claude Code82% of this model's tokens27active users
  2. OpenCode7.5% of this model's tokens3active users
  3. Copilot3.6% of this model's tokens1active users
  4. Hermes Agent2.8% of this model's tokens2active users
  5. Prime Agent2.1% of this model's tokens1active users
  6. Senpi (OmO Native)1.8% of this model's tokens3active users
  7. Pi0.2% of this model's tokens2active users
  8. Oh My Pi0.1% of this model's tokens3active users
  9. ZCode<0.1% of this model's tokens1active users
  10. DeepSeek Harness<0.1% of this model's tokens1active users

Benchmarks

The best result for Claude Fable 5 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. Agent rows also show Tokscale usage through that agent, side by side with the score. Usage does not explain the score.

All benchmarks
  • Epoch Capabilities IndexOverall · Epoch AI
    163.4
    Rank #9 of 160 matched modelsNo conditions reportedModel released Jun 9, 2026Source: epoch.ai (opens in a new tab)
  • Terminal-Bench 4.0Agentic coding · Terminal-Bench
    44.5%
    Rank #8 of 23 matched modelsMax · Claude CodePublished Aug 27, 2026Source: tbench.ai (opens in a new tab)

    Tokscale usage: Claude Code carried 82% of Claude Fable 5 tokens in the last 30 days (27 active users).

  • DeepSWEAgentic coding · Datacurve, collected by Epoch AI
    69.9%
    Rank #5 of 26 matched modelsXHigh · mini-swe-agentModel released Jun 9, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    Show 4 more results with other run conditionsHide the other results
    • Listed as claude-fable-5 (max)
      69.7%
      Max · mini-swe-agentModel released Jun 9, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    • Listed as claude-fable-5 (high)
      68.6%
      High · mini-swe-agentModel released Jun 9, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    • Listed as claude-fable-5 (medium)
      65.4%
      Medium · mini-swe-agentModel released Jun 9, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    • Listed as claude-fable-5 (low)
      59.6%
      Low · mini-swe-agentModel released Jun 9, 2026Source: deepswe.datacurve.ai (opens in a new tab)
  • FrontierSWEAgentic coding · FrontierSWE, collected by Epoch AI
    47.0%
    Rank #7 of 21 matched modelsMax · proximusModel released Jun 9, 2026Source: frontierswe.com (opens in a new tab)
  • WebDev ArenaWeb development · LMArena
    1,624
    Rank #21 of 110 matched modelsHighPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • Agent ArenaAgents · LMArena
    +0.08
    Rank #8 of 48 matched modelsHigh · Arena Agent ModePublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    85.9%
    Rank #66 of 151 matched modelsMaxRun date Aug 6, 2026Source: epoch.ai (opens in a new tab)

    Near its ceiling: the top score is 96.4%, and Epoch AI estimates the reachable maximum at 97%. Differences between top models are small.

    Show 2 more results with other run conditionsHide the other results
    • Listed as claude-fable-5_high
      83.3%
      HighRun date Aug 6, 2026Source: epoch.ai (opens in a new tab)
    • Listed as claude-fable-5_low
      78.8%
      LowRun date Aug 6, 2026Source: epoch.ai (opens in a new tab)
  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    87.0%
    Rank #9 of 86 matched modelsMaxRun date Jun 9, 2026Source: epoch.ai (opens in a new tab)

    Near its ceiling: the top score is 93.7%, and Epoch AI estimates the reachable maximum at 95%. Differences between top models are small.

  • SimpleQA VerifiedKnowledge · Epoch AI
    70.7%
    Rank #7 of 80 matched modelsXHighRun date Aug 10, 2026Source: epoch.ai (opens in a new tab)

Not evaluated: Humanity's Last Exam, CursorBench. A missing result is not a score of zero.

Pricing

List prices from models.dev in US dollars per 1M tokens, retrieved Oct 21, 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
$1.76
Est. per 1M tokens
94% cache reads
At the community mix
$1.53
Est. per 1M tokens
96% cache reads
3:1 input/output blend
$20
Per 1M tokens at list prices
No cache

Cache reads were 94% of Claude Fable 5 tokens in the last 30 days and 96% 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 $10, output $50, cache read $1, cache write $12.50.
  • This model's mix is its own input, output, cache and reasoning tokens in the last 30 days.
  • The community mix is the tokens of every identified model in the last 30 days.
  • 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
    $10 input per 1M tokens$50 output per 1M tokens$1 cache read per 1M tokens$12.50 cache write per 1M tokens1M tokens of context
  • Amazon Bedrockanthropic.claude-fable-5
    $10 input per 1M tokens$50 output per 1M tokens$1 cache read per 1M tokens$12.50 cache write per 1M tokens1M tokens of context
  • Vertexclaude-fable-5@default
    $10 input per 1M tokens$50 output per 1M tokens$1 cache read per 1M tokens$12.50 cache write per 1M tokens1M tokens of context
  • Vertex (Anthropic)claude-fable-5@default
    $10 input per 1M tokens$50 output per 1M tokens$1 cache read per 1M tokens$12.50 cache write per 1M tokens1M tokens of context
Show 4 more providersShow fewer providers
  • Azureclaude-fable-5
    $10 input per 1M tokens$50 output per 1M tokens$1 cache read per 1M tokens$12.50 cache write per 1M tokens1M tokens of context
  • OpenRouteranthropic/claude-fable-5
    $10 input per 1M tokens$50 output per 1M tokens$1 cache read per 1M tokens$12.50 cache write per 1M tokens1M tokens of context
  • Vercel AI Gatewayanthropic/claude-fable-5
    $10 input per 1M tokens$50 output per 1M tokens$1 cache read per 1M tokens$12.50 cache write per 1M tokens1M tokens of context
  • Deep Infraanthropic/claude-fable-5
    $10 input per 1M tokens$50 output per 1M tokensCache read not listedCache write not listed1M tokens of context

Specs

From models.dev (MIT), retrieved Oct 21, 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
— not listed
Release date
Jun 7, 2026
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used Claude Fable 5 most in this period, by tokens. Hidden accounts are never listed.

  1. 1Miguel Rasero@miguelrisero6.6Btokens$11Kest. cost11active days$11K est. cost · 11 active days
  2. 2yunwang6131@yunwang61311.1Btokens$1.9Kest. cost18active days$1.9K est. cost · 18 active days
  3. 3yslee@rapidrabbit76929Mtokens$1.3Kest. cost5active days$1.3K est. cost · 5 active days
  4. 4Komal Vardhan Lolugu@KomalSrinivasan611.5Mtokens$883est. cost7active days$883 est. cost · 7 active days
  5. 5JsLee@JSLEEKR544.4Mtokens$1.3Kest. cost5active days$1.3K est. cost · 5 active days
  6. 6jiawei@JiaweiGithub463.2Mtokens$2Kest. cost11active days$2K est. cost · 11 active days
  7. 7Alireza Bashiri@al3rez456.9Mtokens$601est. cost7active days$601 est. cost · 7 active days
  8. 8dbustillo@dbustillo364Mtokens$649est. cost10active days$649 est. cost · 10 active days
  9. 9PROTIK MONDAL@MNDL-27348.6Mtokens$1.5Kest. cost8active days$1.5K est. cost · 8 active days
  10. 10Guanqin.ZHANG@guanqin-123289.3Mtokens$500est. cost3active days$500 est. cost · 3 active days

More from Anthropic

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

  1. Claude Opus 5.574% adoption711active users
  2. Claude Sonnet 5.558% adoption555active users
  3. Claude Haiku 5.550% adoption477active users
  4. Claude Fable 5.138% adoption361active users
  5. Claude Opus 4.823% adoption222active users
  6. Claude Fable 5.219% adoption179active 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 Oct 21, 2026 · Data through Oct 15, 2026Epoch AI, ‘Capabilities & benchmarking’. Published online at epoch.ai. Retrieved from https://epoch.ai/benchmarks.
  • LMArenaWebDev Arena and Agent Arena leaderboards.CC BY 4.0 · Retrieved Oct 21, 2026 · Data through Oct 19, 2026LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset), Hugging Face.
  • Terminal-BenchTerminal-Bench 4.0 official leaderboard rows (results only, no task content).Terms not stated · Retrieved Oct 21, 2026 · Data through Oct 6, 2026Terminal-Bench 4.0 leaderboard, tbench.ai. Every score links back to the leaderboard.
  • models.devSpecs and list prices per provider.MIT · Retrieved Oct 21, 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
Claude Fable 5 by Anthropic - Usage, Active Users, Est. Cost | Tokscale