Claude Fable 5.1

AnthropicKey claude-fable-5-1Also reported as anthropic/claude-fable-5-1, router_client:claude/claude-fable-5-1, claude/claude-fable-5-1, auto/claude-fable-5-1, cursor/claude-fable-5-1, devin/claude-fable-5-1, teamclaude/claude-fable-5-1, cc/claude-fable-5-1, anthropic/claude-fable-5.1, my anthropic sub/claude-fable-5-1, hohoai/hohoai/claude-fable-5-1, router_client:unknown/claude-fable-5-1, pve-claude-drtechmes/claude-fable-5-1, eai/claude-fable-5-1, s6o/claude-fable-5-1

Rank
#8
by active users
Active users
154
Down 45 from 199 active users in the previous 7 days. vs previous 7 days
Adoption
25%
of 610 accounts
Tokens
57B
cache included
Est. cost
$59.5K
at public list prices
First seen
Jul 11, 2026
in any submission

Nov 6–12, 2026 (UTC)610 accounts100% of tokens from an identified modelData through Nov 12, 2026, 08:00 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

11 active users on Nov 12, 2026

Daily active users for Claude Fable 5.1, Nov 6, 2026 to Nov 12, 2026. Peak 85. Use the left and right arrow keys to read each day.100500
Show daily values
Daily active users and tokens for Claude Fable 5.1
Date (UTC)Active usersTokens
Nov 6, 20268513.3B
Nov 7, 20266810.5B
Nov 8, 2026659.8B
Nov 9, 20268215.4B
Nov 10, 2026636.1B
Nov 11, 2026311.3B
Nov 12, 202611533.5M

Token mix

How the 57B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input0.7%
  • Output0.4%
  • Cache read95%
  • Cache write3.9%
  • Reasoning<0.1%

Agents that carry Claude Fable 5.1

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

  1. Claude Code43% of this model's tokens135active users
  2. Senpi (OmO Native)40% of this model's tokens16active users
  3. Pi10% of this model's tokens3active users
  4. Hermes Agent5.8% of this model's tokens3active users
  5. Oh My Pi1.1% of this model's tokens8active users
  6. Junie<0.1% of this model's tokens1active users
  7. OpenCode<0.1% of this model's tokens2active users
  8. Gajae Code<0.1% of this model's tokens1active users
  9. Aside<0.1% of this model's tokens1active users

Benchmarks

The best result for Claude Fable 5.1 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
    167.0
    Rank #7 of 158 matched modelsNo conditions reportedModel released Sep 1, 2026Source: epoch.ai (opens in a new tab)
  • Terminal-Bench 4.1Agentic coding · Terminal-Bench
    57.6%
    Rank #5 of 23 matched modelsXHigh · Claude CodePublished Nov 3, 2026Source: tbench.ai (opens in a new tab)

    Tokscale usage: Claude Code carried 43% of Claude Fable 5.1 tokens in the last 7 days (135 active users).

    Show 4 more results with other run conditionsHide the other results
    • Listed as Fable 5.1
      57.3%
      Max · Claude CodePublished Nov 3, 2026Source: tbench.ai (opens in a new tab)
    • Listed as Fable 5.1
      54.9%
      High · Claude CodePublished Nov 3, 2026Source: tbench.ai (opens in a new tab)
    • Listed as Fable 5.1
      53.9%
      Medium · Claude CodePublished Nov 3, 2026Source: tbench.ai (opens in a new tab)
    • Listed as Fable 5.1
      43.3%
      Low · Claude CodePublished Nov 3, 2026Source: tbench.ai (opens in a new tab)
  • CursorBenchAgentic coding · Cursor, collected by Epoch AI
    51.8%
    Rank #6 of 21 matched modelsMaxModel released Sep 1, 2026Source: cursor.com (opens in a new tab)
    Show 4 more results with other run conditionsHide the other results
    • Listed as Fable 5.1 Extra High
      51.6%
      XHighModel released Sep 1, 2026Source: cursor.com (opens in a new tab)
    • Listed as Fable 5.1 High
      49.2%
      HighModel released Sep 1, 2026Source: cursor.com (opens in a new tab)
    • Listed as Fable 5.1 Medium
      46.8%
      MediumModel released Sep 1, 2026Source: cursor.com (opens in a new tab)
    • Listed as Fable 5.1 Low
      45.1%
      LowModel released Sep 1, 2026Source: cursor.com (opens in a new tab)
  • FrontierSWEAgentic coding · FrontierSWE, collected by Epoch AI
    56.3%
    Rank #6 of 23 matched modelsMax · proximusModel released Sep 1, 2026Source: frontierswe.com (opens in a new tab)
  • WebDev ArenaWeb development · LMArena
    1,743
    Rank #5 of 110 matched modelsMaxPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • Agent ArenaAgents · LMArena
    +0.14
    Rank #3 of 48 matched modelsMax · Arena Agent ModePublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • Humanity's Last ExamReasoning · Center for AI Safety and Scale AI, collected by Epoch AI
    46.5%
    Rank #2 of 40 matched modelsXHighModel released Sep 1, 2026Source: lastexam.ai (opens in a new tab)
  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    90.2%
    Rank #7 of 90 matched modelsMaxRun date Sep 1, 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
    70.8%
    Rank #8 of 86 matched modelsMaxRun date Sep 1, 2026Source: epoch.ai (opens in a new tab)

Not evaluated: GPQA Diamond, DeepSWE. 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
$1.03
Est. per 1M tokens
95% cache reads
At the community mix
$0.79
Est. per 1M tokens
96% cache reads
3:1 input/output blend
$20
Per 1M tokens at list prices
No cache

Cache reads were 95% of Claude Fable 5.1 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 $0.25, 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-5-1
    $10 input per 1M tokens$50 output per 1M tokens$0.25 cache read per 1M tokens$12.50 cache write per 1M tokens1M tokens of context
  • Amazon Bedrockanthropic.claude-fable-5-1
    $10 input per 1M tokens$50 output per 1M tokens$0.25 cache read per 1M tokens$12.50 cache write per 1M tokens1M tokens of context
  • Vertexclaude-fable-5-1@default
    $10 input per 1M tokens$50 output per 1M tokens$0.25 cache read per 1M tokens$12.50 cache write per 1M tokens1M tokens of context
  • Vertex (Anthropic)claude-fable-5-1@default
    $10 input per 1M tokens$50 output per 1M tokens$0.25 cache read per 1M tokens$12.50 cache write per 1M tokens1M tokens of context
Show 3 more providersShow fewer providers
  • Azureclaude-fable-5-1
    $10 input per 1M tokens$50 output per 1M tokens$0.25 cache read per 1M tokens$12.50 cache write per 1M tokens1M tokens of context
  • OpenRouteranthropic/claude-fable-5.1
    $10 input per 1M tokens$50 output per 1M tokens$0.25 cache read per 1M tokens$12.50 cache write per 1M tokens1M tokens of context
  • Vercel AI Gatewayanthropic/claude-fable-5.1
    $10 input per 1M tokens$50 output per 1M tokens$0.25 cache read per 1M tokens$12.50 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
Sep 1, 2026
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used Claude Fable 5.1 most in this period, by tokens. Hidden accounts are never listed.

  1. 1Soju06@Soju0619.5Btokens$21Kest. cost5active days$21K est. cost · 5 active days
  2. 2LJM@lee98www5.9Btokens$2.9Kest. cost7active days$2.9K est. cost · 7 active days
  3. 3YeonGyu-Kim@code-yeongyu5.8Btokens$4.7Kest. cost4active days$4.7K est. cost · 4 active days
  4. 4cairnskald@cairnskald2.4Btokens$3.2Kest. cost5active days$3.2K est. cost · 5 active days
  5. 5Jonathannkayy@Jonathannkayy1.5Btokens$987est. cost7active days$987 est. cost · 7 active days
  6. 6Seungmin Lee@seungminio1.3Btokens$1.1Kest. cost2active days$1.1K est. cost · 2 active days
  7. 7G Man@genx7up1.2Btokens$1.3Kest. cost4active days$1.3K est. cost · 4 active days
  8. 8Jan-Stefan Janetzky@GottZ1.1Btokens$687est. cost5active days$687 est. cost · 5 active days
  9. 9Chaewan Kim@amsminn965.4Mtokens$714est. cost3active days$714 est. cost · 3 active days
  10. 10Code_G@codeg-dev891.2Mtokens$585est. cost3active days$585 est. cost · 3 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% adoption196active users
  5. Claude Opus 58.2% adoption50active users
  6. Claude Opus 4.87.7% adoption47active 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