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Seed-2.0-Code (high) vs GPT-6 Luna (low)

GPT-6 Luna (low) leads on average score with 7.6 vs 7.5. GPT-6 Luna (low) has the lower benchmark cost at $0.033 vs $1.448. GPT-6 Luna (low) is faster at 23.23s vs 124.87s, with pass rates of 65.2% vs 63.8%.

Last updated at: 2026-10-01

Compared models

Rank
#121
Total Output Tokens
432,850
Response Time (avg)
124.87s
Total Cost
$1.448
Rank
#116
Total Output Tokens
24,880
Response Time (avg)
23.23s
Total Cost
$0.033
Recommended model GPT-6 Luna (low)

It has the best score here (7.6), while costing about 45.2x less than Seed-2.0-Code (high).

Detailed comparison

Metric Seed-2.0-Code Seed-2.0-Code high Release: 2026-08-12 GPT-6 Luna GPT-6 Luna low Release: 2026-09-23
Score 7.5 7.6
Rank #121 #116
Reliability 9.0 9.7
Consistency 7.9 8.5
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 65.2% 63.8%
Flaky tests 5 4
Total Runs 69 69
Cost per result 12.061 0.267
Total Cost $1.448 $0.033
Input Price $0.500 / 1M $0.100 / 1M
Output Price $3.000 / 1M $0.500 / 1M
Total Input Tokens 297,321 195,928
Output Tokens 8,997 5,728
Reasoning Tokens 423,853 19,152
Response Time (avg) 124.87s 23.23s
Response Time (max) 675.30s 89.37s
Response Time (total) 2871.96s 534.22s
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.

#121 Seed-2.0-Code

high
Cost
$0.037
Time
183.6s
Tokens
12,388 tok

#116 GPT-6 Luna

low
Cost
$0.002
Time
19.2s
Tokens
2,598 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 6.2 6.5 55.6% 1 266.74s 6,750 432 124,956
GPT-6 Luna 6.0 7.2 55.6% 1 15.39s 7,302 493 6,655

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