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DeepSeek V3.2 vs Laguna S 2.1 (low)

The average score is effectively tied at 5.0 vs 5.0. DeepSeek V3.2 has the lower benchmark cost at $0.054 vs $0.082. DeepSeek V3.2 is faster at 17.89s vs 85.34s, with pass rates of 36.4% vs 22.7%.

Last updated at: 2026-09-04

Rank
#267
Total Output Tokens
42,099
Response Time (avg)
17.89s
Total Cost
$0.054
Rank
#266
Total Output Tokens
451,708
Response Time (avg)
85.34s
Total Cost
$0.082
Recommended model DeepSeek V3.2

It has the best score here (5.0), while costing about 1.5x less than Laguna S 2.1 (low).

Detailed comparison

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 #267 #266
Reliability 10.0 10.0
Consistency 8.1 8.0
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 36.4% 22.7%
Flaky tests 5 5
Total Runs 66 66
Cost per result 0.870 3.022
Total Cost $0.054 $0.082
Input Price $0.269 / 1M $0.090 / 1M
Output Price $0.400 / 1M $0.180 / 1M
Total Input Tokens 135,831 118,752
Output Tokens 42,099 67,823
Reasoning Tokens 0 383,885
Response Time (avg) 17.89s 85.34s
Response Time (max) 115.89s 814.73s
Response Time (total) 393.53s 1877.49s
Parameters 671B total (37B active) 118B total (8B active)
Availability Open source Weights available

Model generation showcase

Hamster playing table tennis

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

#267 DeepSeek V3.2

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

#266 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

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