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Seed-2.0-Code (medium) vs GLM 5.3 Flash (high)

Seed-2.0-Code (medium) leads on average score with 7.4 vs 7.3. GLM 5.3 Flash (high) has the lower benchmark cost at $0.084 vs $1.275. GLM 5.3 Flash (high) is faster at 29.11s vs 100.65s, with pass rates of 65.2% vs 66.7%.

Last updated at: 2026-10-01

Compared models

Rank
#125
Total Output Tokens
384,093
Response Time (avg)
100.65s
Total Cost
$1.275
Rank
#132
Total Output Tokens
99,340
Response Time (avg)
29.11s
Total Cost
$0.084
Recommended model GLM 5.3 Flash (high)

Its score stays close to the best score here (7.3 vs 7.4), while costing about 15.3x less than Seed-2.0-Code (medium).

Detailed comparison

Metric Seed-2.0-Code Seed-2.0-Code medium Release: 2026-08-12 GLM 5.3 Flash GLM 5.3 Flash high Release: 2026-08-26
Score 7.4 7.3
Rank #125 #132
Reliability 8.0 10.0
Consistency 7.4 8.6
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 65.2% 66.7%
Flaky tests 7 4
Total Runs 69 69
Cost per result 11.587 0.426
Total Cost $1.275 $0.084
Input Price $0.500 / 1M $0.150 / 1M
Output Price $3.000 / 1M $0.500 / 1M
Total Input Tokens 244,499 225,013
Output Tokens 8,744 12,197
Reasoning Tokens 375,349 87,143
Response Time (avg) 100.65s 29.11s
Response Time (max) 626.58s 163.41s
Response Time (total) 2314.88s 669.54s
Parameters ~200B total (~20B active) 320B total (18B active)
Availability Closed Open source

Model generation showcase

Hamster playing table tennis

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

#125 Seed-2.0-Code

medium
Cost
$0.026
Time
122.8s
Tokens
8,630 tok

#132 GLM 5.3 Flash

high
Cost
$0.003
Time
186.7s
Tokens
10,486 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 8.9 7.8 88.9% 1 89.94s 8,247 496 44,062
GLM 5.3 Flash 8.2 7.2 88.9% 1 19.62s 7,317 373 9,973

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