Navigate
AI BENCHY
Advertise here

DeepSeek: DeepSeek V3.2 vs Poolside: Laguna S 2.1

The average score is effectively tied at 5.0 vs 5.0. DeepSeek V3.2 has the lower benchmark cost at $0.054 vs $0.091. DeepSeek V3.2 is faster at 18.25s vs 85.35s, with pass rates of 37.9% vs 25.8%.

Recommended modelDeepSeek V3.2It has the best score here (5.0), while costing about 1.7x less than Laguna S 2.1 (low).

Last updated at: 2026-07-22

Metric DeepSeek V3.2 DeepSeek V3.2 none Release: 2025-12-01 Laguna S 2.1 Laguna S 2.1 low Release: 2026-07-21 Free Available
Score 5.0 5.0
Rank #182 #181
Reliability 10.0 9.9
Consistency 7.7 7.8
Tests Correct
Attempt pass rate 37.9% 25.8%
Flaky tests 6 6
Total Runs 66 66
Cost per result 0.870 3.022
Total Cost $0.054 $0.091
Input Price $0.269 / 1M $0.100 / 1M
Output Price $0.400 / 1M $0.200 / 1M
Total Input Tokens 135,780 118,746
Output Tokens 42,097 67,823
Reasoning Tokens 0 383,885
Response Time (avg) 18.25s 85.35s
Response Time (max) 115.89s 814.73s
Response Time (total) 401.60s 1877.64s

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#182 DeepSeek V3.2

none
Cost
$0.002
Time
7.0s
Tokens
1,046 tok

#181 Laguna S 2.1

low
Cost
$0.001
Time
6.6s
Tokens
1,314 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 3.1 6.9 11.1% 1 14.54s 7,279 4,528 0
Laguna S 2.1 3.8 7.1 22.2% 1 167.51s 7,917 58,111 119,138

Quick Compare

Switch Comparison Pair