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Muse Wonder (low) vs Particle-1 (low)

The average score is effectively tied at 9.1 vs 9.1. Particle-1 (low) has the lower benchmark cost at $0.134 vs $2.637. Muse Wonder (low) is faster at 16.00s vs 18.93s, with pass rates of 76.8% vs 72.5%.

Last updated at: 2026-11-10

Compared models

Rank
#48
Total Output Tokens
82,847
Response Time (avg)
16.00s
Total Cost
$2.637
Rank
#53
Total Output Tokens
241,020
Response Time (avg)
18.93s
Total Cost
$0.134
Recommended model Particle-1 (low)

It has the best score here (9.1), while costing about 19.7x less than Muse Wonder (low).

Detailed comparison

Metric Muse Wonder Muse Wonder low Release: 2026-10-13 Particle-1 Particle-1 low Release: 2026-10-28
Score 9.1 9.1
Rank #48 #53
Reliability 9.7 9.8
Consistency 9.6 9.3
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 76.8% 72.5%
Flaky tests 1 2
Total Runs 69 69
Cost per result 15.512 0.836
Total Cost $2.637 $0.134
Input Price $4.000 / 1M $0.050 / 1M
Output Price $20.000 / 1M $0.500 / 1M
Cache Read Price $0.200 / 1M $0.003 / 1M
Cache Write Price N/A N/A
Total Input Tokens 244,997 264,977
Output Tokens 11,148 6,605
Reasoning Tokens 71,699 234,415
Response Time (avg) 16.00s 18.93s
Response Time (max) 83.98s 173.97s
Response Time (total) 367.91s 435.48s
Parameters ~1T total (~50B active) ~748B total (~16B active)
Availability Closed Closed

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

Model generation showcase

Hamster playing table tennis

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

#48 Muse Wonder

low
Cost
$0.080
Time
28.1s
Tokens
4,067 tok

#53 Particle-1

low
Cost
$0.006
Time
42.6s
Tokens
10,625 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 Wonder 10.0 10.0 100.0% 0 17.81s 7,401 1,050 15,813
Particle-1 10.0 10.0 100.0% 0 21.73s 7,986 315 34,150

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