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Muse Spark 1.3 (high) vs Pareto

The average score is effectively tied at 8.9 vs 8.9. Pareto has the lower benchmark cost at $1.172 vs $1.653. Pareto is faster at 31.51s vs 52.49s, with pass rates of 77.3% vs 86.4%.

Last updated at: 2026-09-18

Compared models

Rank
#33
Total Output Tokens
359,608
Response Time (avg)
52.49s
Total Cost
$1.653
Rank
#34
Total Output Tokens
119,230
Response Time (avg)
31.51s
Total Cost
$1.172
Recommended model Pareto

It has the best score here (8.9), while responding about 1.7x faster than Muse Spark 1.3 (high).

Detailed comparison

Metric Muse Spark 1.3 Muse Spark 1.3 high Release: 2026-09-02 Pareto Pareto none Release: 2026-09-18
Score 8.9 8.9
Rank #33 #34
Reliability 10.0 10.0
Consistency 9.3 9.2
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 77.3% 86.4%
Flaky tests 2 2
Total Runs 66 66
Cost per result 10.327 6.506
Total Cost $1.653 $1.172
Input Price $1.250 / 1M $2.500 / 1M
Output Price $4.250 / 1M $7.500 / 1M
Total Input Tokens 99,143 110,734
Output Tokens 12,083 119,230
Reasoning Tokens 347,525 0
Response Time (avg) 52.49s 31.51s
Response Time (max) 251.53s 143.33s
Response Time (total) 1154.76s 693.29s
Parameters ~1T total (~50B active) -
Availability Closed Closed

Model generation showcase

Hamster playing table tennis

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

#33 Muse Spark 1.3

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

#34 Pareto

none
Cost
$0.034
Time
170.7s
Tokens
4,581 tok

Top Models by Score

Score vs Total Cost

Response Time (avg)

Score vs Response Time (avg)

Total Output Tokens

Score vs Total Output Tokens

Category Breakdown

Coding Score Consistency Attempt pass rate Flaky tests Tests Correct Response Time (avg) Input Tokens Output Tokens Reasoning Tokens
Muse Spark 1.3 10.0 10.0 100.0% 0 51.66s 7,275 1,228 64,287
Pareto 10.0 10.0 100.0% 0 50.12s 7,471 1,949 0

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