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DeepSeek V4 Pro vs Mercury 2.5 (medium)

The average score is effectively tied at 6.8 vs 6.8. Mercury 2.5 (medium) has the lower benchmark cost at $0.022 vs $0.208. Mercury 2.5 (medium) is faster at 3.19s vs 11.71s, with pass rates of 47.0% vs 65.2%.

Last updated at: 2026-09-08

Compared models

Rank
#154
Total Output Tokens
35,547
Response Time (avg)
11.71s
Total Cost
$0.208
Rank
#157
Total Output Tokens
120,129
Response Time (avg)
3.19s
Total Cost
$0.022
Recommended model Mercury 2.5 (medium)

It has the best score here (6.8), while costing about 9.6x less than DeepSeek V4 Pro.

Detailed comparison

Metric DeepSeek V4 Pro DeepSeek V4 Pro none Release: 2026-04-24 Mercury 2.5 Mercury 2.5 medium Release: 2026-09-08
Score 6.8 6.8
Rank #154 #157
Reliability 10.0 9.8
Consistency 8.6 8.6
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 47.0% 65.2%
Flaky tests 4 4
Total Runs 66 66
Cost per result 1.061 0.181
Total Cost $0.208 $0.022
Input Price $0.947 / 1M $0.040 / 1M
Output Price $1.893 / 1M $0.150 / 1M
Total Input Tokens 148,078 91,402
Output Tokens 35,547 3,138
Reasoning Tokens 0 116,991
Response Time (avg) 11.71s 3.19s
Response Time (max) 119.44s 9.87s
Response Time (total) 257.67s 70.18s
Parameters 1.6T total (49B 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.

#154 DeepSeek V4 Pro

none
Reached the allocated time limit (300 seconds) without receiving showcase output.
Cost
$0.000
Time
300.0s
Tokens
0 tok

#157 Mercury 2.5

medium
Cost
$0.001
Time
3.8s
Tokens
3,386 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 V4 Pro 5.6 10.0 33.3% 0 13.38s 7,275 5,500 0
Mercury 2.5 5.0 5.1 44.5% 2 3.70s 7,807 488 21,857

Quick Compare

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