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#116

Claude Fable 5.1

Anthropic Release: 2026-09-02 Tested on: 2026-10-01 04:19 anthropic/claude-fable-5.1::high
~9.5T total (~878B active)MoEClosedEstimated
(high) (medium) (low)

Summary

Claude Fable 5.1 scores 7.9 on AI BENCHY and ranks #116. It has 10.0 reliability, a 85.5% pass rate, $3.471 total cost, and 13.30s average response time.

What makes Claude Fable 5.1 unique: It stands out most in Domain specific, where it ranks #2, while Agentic is its weakest area at #14.

Model facts

Researched on 2026-09-02

Estimated
Parameters
~9.5T total (~878B active)
Architecture
MoE
Availability
Closed
License
-

Best estimate from public evidence; the vendor did not disclose every value. Anthropic does not disclose parameter counts or architecture; estimates follow the Claude Fable 5 family record.

Score

7.9

Consistency

9.7

Total Output Tokens

40,466

Total Input Tokens

144,676

Input Price

$10.000 / 1M

Output Price

$50.000 / 1M

Cache Read Price

$0.250 / 1M

Cache Write Price

$12.500 / 1M

Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.

Tests Correct

Wrong Tests: 4

Attempt pass rate: 85.5%

Flaky tests

1

Flaky tests had mixed outcomes across runs (at least one pass and one fail).

Response Time (avg)

13.30s

Response Time (max): 40.17s

Response Time (total): 305.83s

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#116 Claude Fable 5.1

high
Cost
$0.384
Time
102.5s
Tokens
7,824 tok

Price History

Historical pricing data for this model from OpenRouter.

Date Input Price Output Price Cache Read Price Cache Write Price
2026-10-01 18:33 $10.000 / 1M $50.000 / 1M $0.250 / 1M $12.500 / 1M

Charts

Choose the first model, then click a second model to open a side-by-side page.

Total Output Tokens

Score vs Total Output Tokens

Quick Compare

Category Breakdown

Category Score Consistency Tests Correct
Agentic 3.0 10.0
Anti-AI Tricks 10.0 10.0
Coding 8.4 7.4
Combined 10.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 7.7 10.0
General Intelligence 10.0 10.0
Instructions following 10.0 10.0
Puzzle Solving 10.0 10.0
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models