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

Laguna S 2.1 (high) leads on average score with 5.4 vs 5.0. DeepSeek V3.2 has the lower benchmark cost at $0.054 vs $0.127. DeepSeek V3.2 is faster at 18.25s vs 111.61s, with pass rates of 37.9% vs 27.3%.

Recommended modelDeepSeek V3.2Its score stays close to the best score here (5.0 vs 5.4), while costing about 2.4x less than Laguna S 2.1 (high).

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 high Release: 2026-07-21 Free Available
Score 5.0 5.4
Rank #182 #167
Reliability 10.0 9.9
Consistency 7.7 8.1
Tests Correct
Attempt pass rate 37.9% 27.3%
Flaky tests 6 5
Total Runs 66 66
Cost per result 0.870 3.153
Total Cost $0.054 $0.127
Input Price $0.269 / 1M $0.100 / 1M
Output Price $0.400 / 1M $0.200 / 1M
Total Input Tokens 135,780 208,931
Output Tokens 42,097 175,588
Reasoning Tokens 0 409,276
Response Time (avg) 18.25s 111.61s
Response Time (max) 115.89s 1190.11s
Response Time (total) 401.60s 2455.39s

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

#167 Laguna S 2.1

high
Cost
$0.001
Time
6.8s
Tokens
1,389 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 5.3 7.2 44.4% 1 271.42s 6,496 59,355 151,009

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