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Seed-2.0-Code (low) vs GPT-5.6 Luna (high)

The average score is effectively tied at 7.7 vs 7.7. GPT-5.6 Luna (high) has the lower benchmark cost at $0.102 vs $0.681. GPT-5.6 Luna (high) is faster at 18.68s vs 65.89s, with pass rates of 80.3% vs 72.7%.

Last updated at: 2026-08-12

Rank
#66
Total Output Tokens
212,558
Response Time (avg)
65.89s
Total Cost
$0.681
Rank
#69
Total Output Tokens
155,998
Response Time (avg)
18.68s
Total Cost
$0.102
Recommended model GPT-5.6 Luna (high)

It has the best score here (7.7), while costing about 6.7x less than Seed-2.0-Code (low).

Detailed comparison

Metric Seed-2.0-Code Seed-2.0-Code low Release: 2026-08-12 GPT-5.6 Luna GPT-5.6 Luna high Release: 2026-07-09
Score 7.7 7.7
Rank #66 #69
Reliability 5.7 10.0
Consistency 7.5 8.9
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 80.3% 72.7%
Flaky tests 7 3
Total Runs 66 66
Cost per result 5.235 6.780
Total Cost $0.681 $0.102
Input Price $0.500 / 1M $0.100 / 1M
Output Price $3.000 / 1M $0.600 / 1M
Total Input Tokens 85,648 80,918
Output Tokens 8,142 5,088
Reasoning Tokens 204,416 150,910
Response Time (avg) 65.89s 18.68s
Response Time (max) 485.92s 111.09s
Response Time (total) 1449.53s 411.05s
Parameters ~200B total (~20B active) ~400B total (~17B active)
Availability Closed Closed

Model generation showcase

Hamster playing table tennis

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

#66 Seed-2.0-Code

low
Provider returned error
Cost
$0.000
Time
0.3s
Tokens
0 tok

#69 GPT-5.6 Luna

high
Cost
$0.033
Time
34.2s
Tokens
5,484 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 7.0 5.0 77.8% 2 109.70s 7,948 455 55,759
GPT-5.6 Luna 5.5 4.7 55.6% 2 15.63s 7,302 510 17,746

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