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

Seed-2.0-Code (low) leads on average score with 7.7 vs 7.6. GPT-5.6 Luna (high) has the lower benchmark cost at $0.179 vs $0.767. GPT-5.6 Luna (high) is faster at 16.49s vs 72.24s, with pass rates of 77.3% vs 69.7%.

Last updated at: 2026-09-24

Compared models

Rank
#106
Total Output Tokens
241,309
Response Time (avg)
72.24s
Total Cost
$0.767
Rank
#112
Total Output Tokens
135,315
Response Time (avg)
16.49s
Total Cost
$0.179
Recommended model GPT-5.6 Luna (high)

Its score stays close to the best score here (7.6 vs 7.7), while costing about 4.3x 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 7.6
Rank #106 #112
Reliability 8.5 10.0
Consistency 7.8 8.5
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 77.3% 69.7%
Flaky tests 6 4
Total Runs 66 66
Cost per result 5.899 6.100
Total Cost $0.767 $0.179
Input Price $0.500 / 1M $0.200 / 1M
Output Price $3.000 / 1M $1.200 / 1M
Total Input Tokens 85,657 80,927
Output Tokens 8,142 5,088
Reasoning Tokens 233,167 130,227
Response Time (avg) 72.24s 16.49s
Response Time (max) 485.92s 111.09s
Response Time (total) 1589.31s 362.78s
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.

#106 Seed-2.0-Code

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

#112 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 7.1 55.6% 1 109.70s 7,948 455 55,759
GPT-5.6 Luna 5.5 4.7 55.6% 2 15.63s 7,302 510 17,746

Quick Compare

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