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Mercury 2.5 Preview vs GPT-4o-mini

The average score is effectively tied at 4.9 vs 5.0. GPT-4o-mini has the lower benchmark cost at $0.010 vs $0.018. GPT-4o-mini is faster at 1.92s vs 3.51s, with pass rates of 30.3% vs 22.7%.

Last updated at: 2026-09-02

Rank
#259
Total Output Tokens
82,585
Response Time (avg)
3.51s
Total Cost
$0.018
Rank
#257
Total Output Tokens
2,913
Response Time (avg)
1.92s
Total Cost
$0.010
Recommended model GPT-4o-mini

It has the best score here (5.0), while costing about 1.8x less than Mercury 2.5 Preview.

Detailed comparison

Metric Mercury 2.5 Preview Mercury 2.5 Preview none Release: 2026-09-02 GPT-4o-mini GPT-4o-mini none Release: 2024-07-18
Score 4.9 5.0
Rank #259 #257
Reliability 10.0 10.0
Consistency 8.3 9.9
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 30.3% 22.7%
Flaky tests 5 0
Total Runs 66 66
Cost per result 0.440 0.195
Total Cost $0.018 $0.010
Input Price $0.040 / 1M $0.150 / 1M
Output Price $0.150 / 1M $0.600 / 1M
Total Input Tokens 130,296 53,145
Output Tokens 82,585 2,913
Reasoning Tokens 0 0
Response Time (avg) 3.51s 1.92s
Response Time (max) 60.70s 7.58s
Response Time (total) 77.28s 30.71s
Parameters ~100B ~8B
Availability Closed Closed

Model generation showcase

Hamster playing table tennis

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

#259 Mercury 2.5 Preview

none
Invalid SVG
Cost
$0.001
Time
3.3s
Tokens
3,122 tok

#257 GPT-4o-mini

none
Cost
$0.001
Time
6.6s
Tokens
742 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
Mercury 2.5 Preview 4.7 7.9 22.2% 1 459ms 7,850 650 0
GPT-4o-mini 3.2 9.6 0.0% 0 1.63s 7,314 367 0

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