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
#36
by active users
Active users
11
Down 5 from 16 active users in the previous 7 days. vs previous 7 days
Adoption
1.8%
of 610 accounts
Tokens
2B
cache included
Est. cost
$3.3K
at public list prices
First seen
Apr 22, 2026
in any submission

Nov 6–12, 2026 (UTC)610 accounts100% of tokens from an identified modelData through Nov 12, 2026, 08:13 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, Nov 6, 2026 to Nov 12, 2026. Peak 6. Use the left and right arrow keys to read each day.630
Show daily values
Daily active users and tokens for Claude Fable 5
Date (UTC)Active usersTokens
Nov 6, 20266847.4M
Nov 7, 20263701.1M
Nov 8, 20263105.3M
Nov 9, 20265219.1M
Nov 10, 20265119.6M
Nov 11, 2026317.5M
Nov 12, 202600

Token mix

How the 2B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input<0.1%
  • Output0.3%
  • Cache read97%
  • Cache write2.9%
  • 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 Code48% of this model's tokens9active users
  2. OpenCode46% of this model's tokens1active users
  3. Senpi (OmO Native)6.0% of this model's tokens2active 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
    164.1
    Rank #11 of 158 matched modelsNo conditions reportedModel released Jun 9, 2026Source: epoch.ai (opens in a new tab)
  • Terminal-Bench 4.1Agentic coding · Terminal-Bench
    44.9%
    Rank #8 of 23 matched modelsMax · Claude CodePublished Nov 3, 2026Source: tbench.ai (opens in a new tab)

    Tokscale usage: Claude Code carried 48% of Claude Fable 5 tokens in the last 7 days (9 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 #9 of 23 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 #71 of 160 matched modelsMaxRun date Aug 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.

    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 #12 of 90 matched modelsMaxRun date Jun 9, 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
    70.7%
    Rank #9 of 86 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 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
$1.53
Est. per 1M tokens
97% cache reads
At the community mix
$1.52
Est. per 1M tokens
96% cache reads
3:1 input/output blend
$20
Per 1M tokens at list prices
No cache

Cache reads were 97% of Claude Fable 5 tokens in the last 7 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 7 days.
  • The community mix is the tokens of every identified model in the last 7 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 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
— 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. 1yslee@rapidrabbit76928.9Mtokens$1.3Kest. cost4active days$1.3K est. cost · 4 active days
  2. 2yunwang6131@yunwang6131512.8Mtokens$809est. cost3active days$809 est. cost · 3 active days
  3. 3Guanqin.ZHANG@guanqin-123244.2Mtokens$431est. cost2active days$431 est. cost · 2 active days
  4. 4JsLee@JSLEEKR211Mtokens$522est. cost2active days$522 est. cost · 2 active days
  5. 5Arnold Sobanski@Arsobbiak68.3Mtokens$137est. cost3active days$137 est. cost · 3 active days
  6. 6Tai@Tai-ch080217.3Mtokens$35est. cost4active days$35 est. cost · 4 active days
  7. 7Max Ghenis@MaxGhenis15.7Mtokens$28est. cost2active days$28 est. cost · 2 active days
  8. 8dbustillo@dbustillo7.6Mtokens$13est. cost2active days$13 est. cost · 2 active days
  9. 9Zhenhao Zhang@X0X0X004.1Mtokens$10est. cost1active days$10 est. cost · 1 active days
  10. 10YeonGyu-Kim@code-yeongyu68.7Ktokens<$1est. cost1active days<$1 est. cost · 1 active days

More from Anthropic

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

  1. Claude Opus 5.571% adoption434active users
  2. Claude Sonnet 5.545% adoption277active users
  3. Claude Haiku 5.541% adoption249active users
  4. Claude Fable 5.232% adoption197active users
  5. Claude Fable 5.125% adoption154active users
  6. Claude Opus 58.2% adoption50active 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.
  • 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 4.1 official leaderboard rows (results only, no task content).Terms not stated · Retrieved Nov 12, 2026 · Data through Nov 11, 2026Terminal-Bench 4.1 leaderboard, tbench.ai. Every score links back to the leaderboard.
  • 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