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Mercury 2.5 vs Mercury 2

Mercury 2 leads on average score with 4.4 vs 4.1. Mercury 2.5 has the lower benchmark cost at $0.026 vs $0.033. Mercury 2 is faster at 1.18s vs 5.10s, with pass rates of 24.6% vs 23.2%.

Last updated at: 2026-10-17

Compared models

Rank
#388
Total Output Tokens
89,958
Response Time (avg)
5.10s
Total Cost
$0.026
Rank
#382
Total Output Tokens
9,709
Response Time (avg)
1.18s
Total Cost
$0.033
Recommended model Mercury 2

It has the best score here (4.4), while responding about 4.3x faster than Mercury 2.5.

Detailed comparison

Metric Mercury 2.5 Mercury 2.5 none Release: 2026-09-08 Mercury 2 Mercury 2 none Release: 2026-02-24
Score 4.1 4.4
Rank #388 #382
Reliability 10.0 10.0
Consistency 7.6 9.2
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 24.6% 23.2%
Flaky tests 7 2
Total Runs 69 69
Cost per result 1.298 0.812
Total Cost $0.026 $0.033
Input Price $0.040 / 1M $0.250 / 1M
Output Price $0.150 / 1M $0.750 / 1M
Cache Read Price $0.004 / 1M $0.025 / 1M
Cache Write Price N/A N/A
Total Input Tokens 311,488 100,634
Output Tokens 89,958 9,609
Reasoning Tokens 0 100
Response Time (avg) 5.10s 1.18s
Response Time (max) 63.41s 9.00s
Response Time (total) 117.24s 27.14s
Parameters ~100B ~100B
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.

#388 Mercury 2.5

none
Cost
$0.001
Time
2.7s
Tokens
2,749 tok

#382 Mercury 2

none
Cost
$0.002
Time
1.8s
Tokens
1,514 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 3.7 7.0 22.2% 1 12.50s 7,888 61,297 0
Mercury 2 3.4 9.6 0.0% 0 1.03s 7,229 3,088 0

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