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Trinity Large Thinking (high) vs Ling-2.6-flash

Ling-2.6-flash leads on average score with 4.9 vs 4.8. Ling-2.6-flash has the lower benchmark cost at $0.002 vs $0.592. Ling-2.6-flash is faster at 10.71s vs 75.86s, with pass rates of 39.4% vs 30.3%.

Last updated at: 2026-09-10

Compared models

Rank
#288
Total Output Tokens
932,619
Response Time (avg)
75.86s
Total Cost
$0.592
Rank
#282
Total Output Tokens
14,903
Response Time (avg)
10.71s
Total Cost
$0.002
Recommended model Ling-2.6-flash

It has the best score here (4.9), while costing about 371.7x less than Trinity Large Thinking (high).

Detailed comparison

Metric Trinity Large Thinking Trinity Large Thinking high Release: 2026-07-28 Ling-2.6-flash Ling-2.6-flash none Release: 2026-04-21
Score 4.8 4.9
Rank #288 #282
Reliability 10.0 9.6
Consistency 7.2 9.3
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 39.4% 30.3%
Flaky tests 8 2
Total Runs 66 66
Cost per result 12.473 0.024
Total Cost $0.592 $0.002
Input Price $0.250 / 1M $0.010 / 1M
Output Price $0.800 / 1M $0.030 / 1M
Total Input Tokens 101,776 114,384
Output Tokens 276,367 14,903
Reasoning Tokens 656,252 0
Response Time (avg) 75.86s 10.71s
Response Time (max) 510.21s 36.03s
Response Time (total) 1668.93s 214.28s
Parameters 398B total (13B active) 104B total (7.4B active)
Availability Weights available Open source

Model generation showcase

Hamster playing table tennis

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

#288 Trinity Large Thinking

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

#282 Ling-2.6-flash

none
Ling-2.6-flash is no longer available as a free model. It has transitioned to a paid model. Continue using it here: https://openrouter.ai/inclusionai/ling-2.6-flash
Cost
$0.000
Time
0.0s
Tokens
0 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
Ling-2.6-flash 5.3 10.0 33.3% 0 11.21s 813 381 0

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