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Trinity Large Thinking (low) vs Qwen3.6 27B

Qwen3.6 27B leads on average score with 6.3 vs 6.3. Qwen3.6 27B has the lower benchmark cost at $0.147 vs $0.700. Qwen3.6 27B is faster at 12.71s vs 95.16s, with pass rates of 47.8% vs 47.8%.

Last updated at: 2026-10-01

Compared models

Rank
#222
Total Output Tokens
842,200
Response Time (avg)
95.16s
Total Cost
$0.700
Rank
#213
Total Output Tokens
20,816
Response Time (avg)
12.71s
Total Cost
$0.147
Recommended model Qwen3.6 27B

It has the best score here (6.3), while costing about 4.8x less than Trinity Large Thinking (low).

Detailed comparison

Metric Trinity Large Thinking Trinity Large Thinking low Release: 2026-07-28 Qwen3.6 27B Qwen3.6 27B none Release: 2026-04-20
Score 6.3 6.3
Rank #222 #213
Reliability 10.0 10.0
Consistency 8.1 7.7
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 47.8% 47.8%
Flaky tests 6 6
Total Runs 69 69
Cost per result 9.163 1.874
Total Cost $0.700 $0.147
Input Price $0.250 / 1M $0.320 / 1M
Output Price $0.800 / 1M $3.200 / 1M
Total Input Tokens 347,980 250,919
Output Tokens 121,898 20,816
Reasoning Tokens 720,302 0
Response Time (avg) 95.16s 12.71s
Response Time (max) 540.96s 156.31s
Response Time (total) 2188.74s 292.29s
Parameters 398B total (13B active) 27B
Availability Weights available Open source

Model generation showcase

Hamster playing table tennis

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

#222 Trinity Large Thinking

low
Cost
$0.021
Time
173.2s
Tokens
24,586 tok

#213 Qwen3.6 27B

none
Cost
$0.009
Time
83.0s
Tokens
4,549 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 5.3 10.0 33.3% 0 344.45s 5,441 27,039 217,241
Qwen3.6 27B 5.5 10.0 33.3% 0 4.16s 7,913 539 0

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