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Mercury 2.5 (low) vs GPT-4o-mini

Mercury 2.5 (low) leads on average score with 5.1 vs 5.0. GPT-4o-mini has the lower benchmark cost at $0.010 vs $0.011. Mercury 2.5 (low) is faster at 1.35s vs 1.92s, with pass rates of 39.4% vs 22.7%.

Last updated at: 2026-09-08

Compared models

Rank
#265
Total Output Tokens
33,719
Response Time (avg)
1.35s
Total Cost
$0.011
Rank
#274
Total Output Tokens
2,913
Response Time (avg)
1.92s
Total Cost
$0.010
Recommended model Mercury 2.5 (low)

It has the strongest score in this comparison (5.1) and the best overall balance of cost and response time across all 2 models.

Detailed comparison

Metric Mercury 2.5 Mercury 2.5 low Release: 2026-09-08 GPT-4o-mini GPT-4o-mini none Release: 2024-07-18
Score 5.1 5.0
Rank #265 #274
Reliability 9.8 10.0
Consistency 8.1 9.9
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 39.4% 22.7%
Flaky tests 5 0
Total Runs 66 66
Cost per result 0.177 0.195
Total Cost $0.011 $0.010
Input Price $0.040 / 1M $0.150 / 1M
Output Price $0.150 / 1M $0.600 / 1M
Total Input Tokens 138,020 53,145
Output Tokens 6,083 2,913
Reasoning Tokens 27,636 0
Response Time (avg) 1.35s 1.92s
Response Time (max) 7.48s 7.58s
Response Time (total) 29.74s 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.

#265 Mercury 2.5

low
Cost
$0.001
Time
2.4s
Tokens
1,236 tok

#274 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 5.5 10.0 33.3% 0 972ms 7,909 521 2,269
GPT-4o-mini 3.2 9.6 0.0% 0 1.63s 7,314 367 0

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