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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 8.1 vs 8.0. GPT-5.6 Luna (high) has the lower benchmark cost at $0.118 vs $0.881. GPT-5.6 Luna (high) is faster at 18.39s vs 73.02s, with pass rates of 78.3% vs 71.0%.

Last updated at: 2026-11-10

Compared models

Rank
#130
Total Output Tokens
253,807
Response Time (avg)
73.02s
Total Cost
$0.881
Rank
#135
Total Output Tokens
139,395
Response Time (avg)
18.39s
Total Cost
$0.118
Recommended model GPT-5.6 Luna (high)

Its score stays close to the best score here (8.0 vs 8.1), while costing about 7.5x 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 8.1 8.0
Rank #130 #135
Reliability 8.9 10.0
Consistency 7.9 8.6
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 78.3% 71.0%
Flaky tests 6 4
Total Runs 69 69
Cost per result 6.288 5.882
Total Cost $0.881 $0.118
Input Price $0.500 / 1M $0.200 / 1M
Output Price $3.000 / 1M $1.200 / 1M
Cache Read Price N/A $0.020 / 1M
Cache Write Price N/A $0.250 / 1M
Total Input Tokens 237,604 197,896
Output Tokens 9,617 6,211
Reasoning Tokens 244,190 133,184
Response Time (avg) 73.02s 18.39s
Response Time (max) 485.92s 111.09s
Response Time (total) 1679.49s 422.93s
Parameters ~200B total (~20B active) ~400B total (~17B active)
Availability Closed Closed

Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.

Model generation showcase

Hamster playing table tennis

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

#130 Seed-2.0-Code

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

#135 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

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