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Command A+ (high) vs Mercury 2.5

Mercury 2.5 leads on average score with 3.9 vs 3.0. Command A+ (high) has the lower benchmark cost at $0.000 vs $0.016. Mercury 2.5 is faster at 2.45s vs 86.95s, with pass rates of 0.0% vs 25.8%.

Last updated at: 2026-09-23

Compared models

Rank
#353
Total Output Tokens
0
Response Time (avg)
86.95s
Total Cost
$0.000
Rank
#342
Total Output Tokens
71,143
Response Time (avg)
2.45s
Total Cost
$0.016
Recommended model Mercury 2.5

It has the best score here (3.9), while responding about 35.5x faster than Command A+ (high).

Detailed comparison

Metric Command A+ Command A+ high Release: 2026-09-23 Mercury 2.5 Mercury 2.5 none Release: 2026-09-08
Score 3.0 3.9
Rank #353 #342
Reliability 0.0 10.0
Consistency 10.0 7.5
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 0.0% 25.8%
Flaky tests 0 7
Total Runs 66 66
Cost per result 0.000 0.782
Total Cost $0.000 $0.016
Input Price $0.300 / 1M $0.040 / 1M
Output Price $1.500 / 1M $0.150 / 1M
Total Input Tokens 0 123,740
Output Tokens 0 71,143
Reasoning Tokens 0 0
Response Time (avg) 86.95s 2.45s
Response Time (max) 114.87s 36.48s
Response Time (total) 1913.01s 53.83s
Parameters 218B total (25B active) ~100B
Availability Open source Closed

Model generation showcase

Hamster playing table tennis

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

#353 Command A+

high
Provider returned error
Cost
$0.000
Time
0.2s
Tokens
0 tok

#342 Mercury 2.5

none
Cost
$0.001
Time
2.7s
Tokens
2,749 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
Command A+ 3.0 10.0 0.0% 0 92.74s 0 0 0
Mercury 2.5 3.7 7.0 22.2% 1 12.50s 7,888 61,297 0

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