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Trinity Large Thinking (high) vs DeepSeek V3.2

DeepSeek V3.2 leads on average score with 5.0 vs 4.8. DeepSeek V3.2 has the lower benchmark cost at $0.054 vs $0.632. DeepSeek V3.2 is faster at 18.25s vs 77.22s, with pass rates of 39.4% vs 37.9%.

Last updated at: 2026-07-28

Rank
#202
Total Output Tokens
953,758
Response Time (avg)
77.22s
Total Cost
$0.632
Rank
#194
Total Output Tokens
42,097
Response Time (avg)
18.25s
Total Cost
$0.054
Recommended model DeepSeek V3.2

It has the best score here (5.0), while costing about 11.8x less than Trinity Large Thinking (high).

Detailed comparison

Metric Trinity Large Thinking Trinity Large Thinking high Release: 2026-07-28 DeepSeek V3.2 DeepSeek V3.2 none Release: 2025-12-01
Score 4.8 5.0
Rank #202 #194
Reliability 9.9 10.0
Consistency 7.2 7.7
Tests Correct
Attempt pass rate 39.4% 37.9%
Flaky tests 8 6
Total Runs 66 66
Cost per result 12.640 0.870
Total Cost $0.632 $0.054
Input Price $0.220 / 1M $0.269 / 1M
Output Price $0.850 / 1M $0.400 / 1M
Total Input Tokens 101,767 135,780
Output Tokens 286,218 42,097
Reasoning Tokens 667,540 0
Response Time (avg) 77.22s 18.25s
Response Time (max) 510.21s 115.89s
Response Time (total) 1698.89s 401.60s

Model generation showcase

Hamster playing table tennis

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

#202 Trinity Large Thinking

high
Cost
$0.028
Time
130.1s
Tokens
34,387 tok

#194 DeepSeek V3.2

none
Cost
$0.002
Time
7.0s
Tokens
1,046 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
Trinity Large Thinking 3.7 4.7 33.3% 2 245.04s 7,204 83,616 266,836
DeepSeek V3.2 3.1 6.9 11.1% 1 14.54s 7,279 4,528 0

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