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Seed-2.0-Code vs Ling-2.6-1T

The average score is effectively tied at 5.3 vs 5.3. Ling-2.6-1T has the lower benchmark cost at $0.016 vs $0.151. Ling-2.6-1T is faster at 8.58s vs 14.67s, with pass rates of 34.9% vs 18.2%.

Last updated at: 2026-08-12

Rank
#219
Total Output Tokens
23,432
Response Time (avg)
14.67s
Total Cost
$0.151
Rank
#217
Total Output Tokens
11,555
Response Time (avg)
8.58s
Total Cost
$0.016
Recommended model Ling-2.6-1T

It has the best score here (5.3), while costing about 9.9x less than Seed-2.0-Code.

Detailed comparison

Metric Seed-2.0-Code Seed-2.0-Code none Release: 2026-08-12 Ling-2.6-1T Ling-2.6-1T none Release: 2026-04-23
Score 5.3 5.3
Rank #219 #217
Reliability 6.7 10.0
Consistency 8.1 10.0
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 34.9% 18.2%
Flaky tests 5 0
Total Runs 66 66
Cost per result 2.503 0.277
Total Cost $0.151 $0.016
Input Price $0.500 / 1M $0.075 / 1M
Output Price $3.000 / 1M $0.625 / 1M
Total Input Tokens 159,740 106,414
Output Tokens 23,432 11,555
Reasoning Tokens 0 0
Response Time (avg) 14.67s 8.58s
Response Time (max) 132.84s 25.72s
Response Time (total) 322.75s 163.06s
Parameters ~200B total (~20B active) 1T total (63B active)
Availability Closed Open source

Model generation showcase

Hamster playing table tennis

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

#219 Seed-2.0-Code

none
Cost
$0.030
Time
140.6s
Tokens
9,924 tok

#217 Ling-2.6-1T

none
Ling-2.6-1T is no longer available as a free model. It has transitioned to a paid model. Continue using it here: https://openrouter.ai/inclusionai/ling-2.6-1t
Cost
$0.000
Time
0.1s
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
Seed-2.0-Code 3.6 9.8 0.0% 0 13.42s 7,230 505 0
Ling-2.6-1T 3.8 10.0 0.0% 0 10.57s 813 381 0

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