Navigate
Advertise here

DeepSeek V3.2 (medium) vs Mercury 2.5 (high)

Mercury 2.5 (high) leads on average score with 7.1 vs 7.0. Mercury 2.5 (high) has the lower benchmark cost at $0.031 vs $0.078. Mercury 2.5 (high) is faster at 4.32s vs 68.43s, with pass rates of 65.2% vs 62.1%.

Last updated at: 2026-09-08

Compared models

Rank
#137
Total Output Tokens
128,787
Response Time (avg)
68.43s
Total Cost
$0.078
Rank
#134
Total Output Tokens
174,547
Response Time (avg)
4.32s
Total Cost
$0.031
Recommended model Mercury 2.5 (high)

It has the best score here (7.1), while costing about 2.5x less than DeepSeek V3.2 (medium).

Detailed comparison

Metric DeepSeek V3.2 DeepSeek V3.2 medium Release: 2025-12-01 Mercury 2.5 Mercury 2.5 high Release: 2026-09-08
Score 7.0 7.1
Rank #137 #134
Reliability 10.0 9.7
Consistency 7.4 8.6
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 65.2% 62.1%
Flaky tests 7 4
Total Runs 66 66
Cost per result 0.672 0.259
Total Cost $0.078 $0.031
Input Price $0.269 / 1M $0.040 / 1M
Output Price $0.400 / 1M $0.150 / 1M
Total Input Tokens 101,056 120,068
Output Tokens 11,832 3,402
Reasoning Tokens 116,955 171,145
Response Time (avg) 68.43s 4.32s
Response Time (max) 376.10s 23.63s
Response Time (total) 1505.53s 95.06s
Parameters 671B total (37B 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.

#137 DeepSeek V3.2

medium
Cost
$0.001
Time
53.6s
Tokens
1,932 tok

#134 Mercury 2.5

high
Cost
$0.001
Time
3.5s
Tokens
2,447 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
DeepSeek V3.2 6.0 7.2 55.6% 1 248.68s 5,717 649 52,014
Mercury 2.5 6.4 7.8 44.4% 1 6.58s 7,757 415 44,012

Quick Compare

Switch Comparison Pair