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Mercury 2.5 Preview (medium) vs Kimi K2.5 (medium)

Mercury 2.5 Preview (medium) leads on average score with 6.8 vs 6.4. Mercury 2.5 Preview (medium) has the lower benchmark cost at $0.039 vs $0.841. Mercury 2.5 Preview (medium) is faster at 6.66s vs 125.76s, with pass rates of 66.7% vs 60.9%.

Last updated at: 2026-10-03

Compared models

Rank
#173
Total Output Tokens
150,107
Response Time (avg)
6.66s
Total Cost
$0.039
Rank
#208
Total Output Tokens
241,096
Response Time (avg)
125.76s
Total Cost
$0.841
Recommended model Mercury 2.5 Preview (medium)

It has the best score here (6.8), while costing about 21.9x less than Kimi K2.5 (medium).

Detailed comparison

Metric Mercury 2.5 Preview Mercury 2.5 Preview medium Release: 2026-09-02 Kimi K2.5 Kimi K2.5 medium Release: 2026-01-27
Score 6.8 6.4
Rank #173 #208
Reliability 10.0 9.6
Consistency 9.6 7.1
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 66.7% 60.9%
Flaky tests 1 8
Total Runs 69 69
Cost per result 0.244 6.085
Total Cost $0.039 $0.841
Input Price $0.040 / 1M $0.450 / 1M
Output Price $0.150 / 1M $2.250 / 1M
Cache Read Price N/A $0.070 / 1M
Cache Write Price N/A N/A
Total Input Tokens 397,291 292,271
Output Tokens 6,355 55,025
Reasoning Tokens 143,752 186,071
Response Time (avg) 6.66s 125.76s
Response Time (max) 74.63s 566.79s
Response Time (total) 153.29s 2137.84s
Parameters ~100B 1T total (32B active)
Availability Closed Weights available

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.

#173 Mercury 2.5 Preview

medium
Cost
$0.001
Time
2.7s
Tokens
2,241 tok

#208 MoonshotAI: Kimi K2.5

medium
Cost
$0.030
Time
58.6s
Tokens
8,683 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 7.8 10.0 66.7% 0 3.86s 7,839 552 22,126
Kimi K2.5 6.1 4.6 66.7% 2 217.49s 6,935 5,705 74,693

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