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uxwizz.com
#39

Muse Spark 1.3

Meta Release: 2026-09-02 Tested on: 2026-10-01 03:08 meta/muse-spark-1.3::high
~1T total (~50B active)MoEClosedEstimated
(high) (medium) (low)

Summary

Muse Spark 1.3 scores 9.1 on AI BENCHY and ranks #39. It has 10.0 reliability, a 78.3% pass rate, $1.891 total cost, and 52.87s 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.

Score

9.1

Consistency

9.3

Total Output Tokens

369,142

Total Input Tokens

257,320

Input Price

$1.250 / 1M

Output Price

$4.250 / 1M

Cache Read Price

$0.150 / 1M

Cache Write Price

N/A

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: 6

Attempt pass rate: 78.3%

Flaky tests

2

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

Response Time (avg)

52.87s

Response Time (max): 251.53s

Response Time (total): 1216.04s

Hamster playing table tennis

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

#39 Muse Spark 1.3

high
Cost
$0.050
Time
203.3s
Tokens
11,679 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-10-01 03:08 Re-test 9.1 10.0 $1.891 Current run
2026-09-02 21:51 Initial run 9.0 9.5 $1.252 Compare

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 $1.250 / 1M $4.250 / 1M $0.150 / 1M N/A

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 10.0 10.0
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 7.2
General Intelligence 10.0 10.0
Instructions following 6.5 10.0
Puzzle Solving 8.7 7.7
Tool Calling 9.6 10.0
Trivia 3.0 10.0

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