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
- #10
- by active users
- Active users
- 255
- NewNew: no active users in the previous 30 days, 255 now. vs previous 30 days
- Adoption
- 26%
- of 967 accounts
- Tokens
- 195.7B
- cache included
- Est. cost
- $135.7K
- at public list prices
- First seen
- Oct 29, 2026
- in any submission
Oct 15 – Nov 13, 2026 (UTC)967 accounts100% of tokens from an identified modelData through Nov 13, 2026, 06:05 UTCHow we count
Daily active users
Distinct accounts that used this model on each UTC day.
55 active users on Nov 13, 2026
Show daily values
| Date (UTC) | Active users | Tokens |
|---|---|---|
| Oct 15, 2026 | 0 | 0 |
| Oct 16, 2026 | 0 | 0 |
| Oct 17, 2026 | 0 | 0 |
| Oct 18, 2026 | 0 | 0 |
| Oct 19, 2026 | 0 | 0 |
| Oct 20, 2026 | 0 | 0 |
| Oct 21, 2026 | 0 | 0 |
| Oct 22, 2026 | 0 | 0 |
| Oct 23, 2026 | 0 | 0 |
| Oct 24, 2026 | 0 | 0 |
| Oct 25, 2026 | 0 | 0 |
| Oct 26, 2026 | 0 | 0 |
| Oct 27, 2026 | 0 | 0 |
| Oct 28, 2026 | 0 | 0 |
| Oct 29, 2026 | 1 | 391K |
| Oct 30, 2026 | 0 | 0 |
| Oct 31, 2026 | 0 | 0 |
| Nov 1, 2026 | 0 | 0 |
| Nov 2, 2026 | 0 | 0 |
| Nov 3, 2026 | 0 | 0 |
| Nov 4, 2026 | 0 | 0 |
| Nov 5, 2026 | 1 | 1.4M |
| Nov 6, 2026 | 0 | 0 |
| Nov 7, 2026 | 0 | 0 |
| Nov 8, 2026 | 1 | 53.7M |
| Nov 9, 2026 | 45 | 9.2B |
| Nov 10, 2026 | 181 | 60.6B |
| Nov 11, 2026 | 178 | 70.8B |
| Nov 12, 2026 | 149 | 44.7B |
| Nov 13, 2026 | 55 | 10.3B |
Token mix
How the 195.7B 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.
Claude Code66% of this model's tokens227active users
Senpi (OmO Native)15% of this model's tokens20active users
Oh My Pi8.3% of this model's tokens14active users
Pi7.5% of this model's tokens7active users
OpenCode1.6% of this model's tokens7active users
Gajae Code0.9% of this model's tokens1active users
Hermes Agent0.4% of this model's tokens6active users
OpenClaw<0.1% of this model's tokens1active users
DeepSeek Harness<0.1% of this model's tokens1active users
Synthetic<0.1% of this model's tokens1active users
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.
- Epoch Capabilities IndexOverall · Epoch AI173.4
Epoch Capabilities Index: 173.4
- Model
- Claude Fable 5.2
- Listed as
- Claude Fable 5.2
- Conditions
- Not reported
- Interval
- 169.9–177.5
- Unit
- ECI
- Model released
- Nov 9, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
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 AI60.0%
CursorBench: 60.0%
- Model
- Claude Fable 5.2
- Listed as
- Fable 5.2 Max
- Conditions
- Max
- Unit
- score
- Model released
- Nov 9, 2026
- Retrieved
- Nov 12, 2026
Best of 5 reported results for this model.
Source · CursorBench results by Cursor, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Show 4 more results with other run conditionsHide the other results
- Listed as Fable 5.2 High56.9%
CursorBench: 56.9%
- Model
- Claude Fable 5.2
- Listed as
- Fable 5.2 High
- Conditions
- High
- Unit
- score
- Model released
- Nov 9, 2026
- Retrieved
- Nov 12, 2026
Source · CursorBench results by Cursor, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- Listed as Fable 5.2 Extra High56.3%
CursorBench: 56.3%
- Model
- Claude Fable 5.2
- Listed as
- Fable 5.2 Extra High
- Conditions
- XHigh
- Unit
- score
- Model released
- Nov 9, 2026
- Retrieved
- Nov 12, 2026
Source · CursorBench results by Cursor, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- Listed as Fable 5.2 Medium54.8%
CursorBench: 54.8%
- Model
- Claude Fable 5.2
- Listed as
- Fable 5.2 Medium
- Conditions
- Medium
- Unit
- score
- Model released
- Nov 9, 2026
- Retrieved
- Nov 12, 2026
Source · CursorBench results by Cursor, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- Listed as Fable 5.2 Low53.2%
CursorBench: 53.2%
- Model
- Claude Fable 5.2
- Listed as
- Fable 5.2 Low
- Conditions
- Low
- Unit
- score
- Model released
- Nov 9, 2026
- Retrieved
- Nov 12, 2026
Source · CursorBench results by Cursor, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- FrontierSWEAgentic coding · FrontierSWE, collected by Epoch AI69.9%
FrontierSWE: 69.9%
- Model
- Claude Fable 5.2
- Listed as
- Claude Fable 5.2
- Conditions
- Max · proximus
- Unit
- mean@5
- Model released
- Nov 9, 2026
- Retrieved
- Nov 12, 2026
Source · FrontierSWE results, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #1 of 23 matched modelsMax · proximusModel released Nov 9, 2026Source: frontierswe.com (opens in a new tab) - GPQA DiamondReasoning · Epoch AI93.9%
GPQA Diamond: 93.9%
- Model
- Claude Fable 5.2
- Listed as
- claude-fable-5-2_max
- Conditions
- Max
- Unit
- % correct
- Run date
- Nov 6, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
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 AI95.1%
FrontierMath Tiers 1–3 (v2): 95.1%
- Model
- Claude Fable 5.2
- Listed as
- claude-fable-5-2_max
- Conditions
- Max
- Unit
- % solved
- Run date
- Nov 6, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
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 AI94.0%
SimpleQA Verified: 94.0%
- Model
- Claude Fable 5.2
- Listed as
- claude-fable-5-2_max
- Conditions
- Max
- Unit
- % correct
- Run date
- Nov 6, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
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
- $0.65
- Est. per 1M tokens
96% 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 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 $8, output $40, cache read $0.20, cache write $10.
- 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
- AnthropicReference
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 - Amazon Bedrock
anthropic.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 - Vertex
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 - 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
- Azure
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 - OpenRouter
anthropic/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 Gateway
anthropic/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
Max Ghenis@MaxGhenis16.7Btokens$11.6Kest. cost4active days$11.6K est. cost · 4 active days
- 2
YeonGyu-Kim@code-yeongyu15.3Btokens$14.2Kest. cost4active days$14.2K est. cost · 4 active days
- 3
LJM@lee98www11.9Btokens$9.3Kest. cost4active days$9.3K est. cost · 4 active days
- 4
INONONO@INONONO665.4Btokens$4.7Kest. cost3active days$4.7K est. cost · 3 active days
- 5
Chase Huh@chasehuh4.9Btokens$2Kest. cost3active days$2K est. cost · 3 active days
- 6
Brad Lishman@bradlishman4.2Btokens$2.2Kest. cost4active days$2.2K est. cost · 4 active days
- 7
Minsub Kim@gazzua4Btokens$2.7Kest. cost2active days$2.7K est. cost · 2 active days
- 8
Carlos Lage@cblage3.9Btokens$2.8Kest. cost5active days$2.8K est. cost · 5 active days
- 9
Journey Hwang@journeyWorker3.5Btokens$3.2Kest. cost2active days$3.2K est. cost · 2 active days
- 10
Youkam 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.
- Claude Opus 5.574% adoption720active users
- Claude Sonnet 5.558% adoption565active users
- Claude Haiku 5.551% adoption490active users
- Claude Fable 5.138% adoption367active users
- Claude Opus 4.823% adoption222active users
- Claude Opus 518% adoption171active users
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.