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Seed-2.0-Code vs Nemotron 3 Super (medium)

Nemotron 3 Super (medium) leads on average score with 5.5 vs 5.4. Nemotron 3 Super (medium) has the lower benchmark cost at $0.081 vs $0.257. Seed-2.0-Code is faster at 17.51s vs 56.40s, with pass rates of 37.7% vs 42.0%.

Last updated at: 2026-10-01

Compared models

Rank
#270
Total Output Tokens
32,069
Response Time (avg)
17.51s
Total Cost
$0.257
Rank
#264
Total Output Tokens
147,935
Response Time (avg)
56.40s
Total Cost
$0.081
Recommended model Nemotron 3 Super (medium)

It has the best score here (5.5), while costing about 3.2x less than Seed-2.0-Code.

Detailed comparison

Metric Seed-2.0-Code Seed-2.0-Code none Release: 2026-08-12 Nemotron 3 Super Nemotron 3 Super medium Release: 2026-03-11 Free Available
Score 5.4 5.5
Rank #270 #264
Reliability 9.0 9.5
Consistency 7.9 8.5
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 37.7% 42.0%
Flaky tests 6 4
Total Runs 69 69
Cost per result 4.268 0.004
Total Cost $0.257 $0.081
Input Price $0.500 / 1M $0.080 / 1M
Output Price $3.000 / 1M $0.450 / 1M
Total Input Tokens 319,668 229,346
Output Tokens 32,069 18,597
Reasoning Tokens 0 129,338
Response Time (avg) 17.51s 56.40s
Response Time (max) 132.84s 431.98s
Response Time (total) 402.66s 1184.46s
Parameters ~200B total (~20B active) 120B total (12B active)
Availability Closed Weights available

Model generation showcase

Hamster playing table tennis

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

#270 Seed-2.0-Code

none
Cost
$0.030
Time
140.6s
Tokens
9,924 tok

#264 Nemotron 3 Super

medium
Cost
$0.000
Time
272.6s
Tokens
5,296 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 3.6 9.8 0.0% 0 13.42s 7,230 505 0
Nemotron 3 Super 3.1 10.0 0.0% 0 147.32s 2,275 797 4,424

Quick Compare

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