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uxwizz.com
#46

Muse Spark 1.1

Meta Release: 2026-07-16 Tested on: 2026-08-14 03:25 meta/muse-spark-1.1::low
~1T total (~50B active)MoEClosedEstimated

Summary

Muse Spark 1.1 scores 8.3 on AI BENCHY and ranks #46. It has 10.0 reliability, a 71.2% pass rate, $0.673 total cost, and 11.89s average response time.

What makes Muse Spark 1.1 unique: It stands out most in General Intelligence, where it ranks #1, while Instructions following is its weakest area at #16. It is notably fast compared with similar models.

Model facts

Researched on 2026-08-12

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; vendor does not disclose counts.

Score

8.3

Consistency

8.5

Total Output Tokens

116,489

Total Input Tokens

141,878

Input Price

$1.250 / 1M

Output Price

$4.250 / 1M

Tests Correct

Wrong Tests: 9

Attempt pass rate: 71.2%

Flaky tests

4

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

Response Time (avg)

11.89s

Response Time (max): 54.15s

Response Time (total): 261.69s

Hamster playing table tennis

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

#46 Muse Spark 1.1

low
Cost
$0.020
Time
39.2s
Tokens
4,947 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 03:25 Re-test 8.3 10.0 $0.673 Current run
2026-07-16 23:35 New test added 8.3 10.0 $0.647 Compare
2026-07-16 18:41 Initial run 8.8 10.0 $0.469 Compare

This run used a different benchmark suite. Keep suite changes in mind when reading historical movement.

Price History

Historical pricing data for this model from OpenRouter.

Date Input Price Output Price
2026-08-14 12:51 $1.250 / 1M $4.250 / 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
Anti-AI Tricks 7.9 6.3
Coding 10.0 10.0
Combined 6.6 9.1
Data parsing and extraction 10.0 10.0
Domain specific 3.6 7.2
General Intelligence 10.0 10.0
Instructions following 7.3 6.0
Puzzle Solving 8.3 10.0
Tool Calling 9.8 10.0
Trivia 3.0 10.0

Compared models