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#27

Muse Spark 1.3

Meta Release: 2026-09-02 Tested on: 2026-09-02 21:54 meta/muse-spark-1.3::medium
~1T total (~50B active)MoEClosedEstimated
(high) (medium) (low)

Summary

Muse Spark 1.3 scores 9.0 on AI BENCHY and ranks #27. It has 9.3 reliability, a 81.8% pass rate, $1.075 total cost, and 89.78s average response time.

Model facts

Researched on 2026-09-02

Estimated
Parameters
~1T total (~50B active)
Architecture
MoE
Availability
Closed
License
-

Best estimate from public evidence; the vendor did not disclose every value. API-only exact checkpoint. Meta does not disclose parameter counts or architecture; estimates follow the Muse Spark 1.2 family record.

Parameter source Availability source

Score

9.0

Consistency

8.5

Reliability

9.3

Total Cost (Current Price)

$1.075

Total Output Tokens

223,994

Total Input Tokens

98,062

Input Price

$1.250 / 1M

Output Price

$4.250 / 1M

Tests Correct

Wrong Tests: 6

Attempt pass rate: 81.8%

Flaky tests

4

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

Response Time (avg)

89.78s

Response Time (max): 356.29s

Response Time (total): 1975.17s

Wrong answer: 3 API error: 1 Did not follow instructions: 1 No answer: 1

Hamster playing table tennis

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

#27 Muse Spark 1.3

medium
Cost
$0.025
Time
113.4s
Tokens
5,952 tok

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

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Category Breakdown

Category Score Consistency Tests Correct
Anti-AI Tricks 10.0 10.0
Coding 10.0 10.0
Combined 10.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 2.9 4.4
General Intelligence 10.0 10.0
Instructions following 7.3 5.9
Puzzle Solving 8.4 7.4
Tool Calling 9.8 10.0
Trivia 3.0 10.0

Compared models