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Seed-2.0-Code (high) vs DeepSeek V3.2 (medium)

DeepSeek V3.2 (medium) leads on average score with 7.0 vs 6.9. DeepSeek V3.2 (medium) has the lower benchmark cost at $0.078 vs $1.273. DeepSeek V3.2 (medium) is faster at 68.43s vs 124.18s, with pass rates of 63.6% vs 65.2%.

Last updated at: 2026-08-15

Rank
#125
Total Output Tokens
410,575
Response Time (avg)
124.18s
Total Cost
$1.273
Rank
#116
Total Output Tokens
128,787
Response Time (avg)
68.43s
Total Cost
$0.078
Recommended model DeepSeek V3.2 (medium)

It has the best score here (7.0), while costing about 16.5x less than Seed-2.0-Code (high).

Detailed comparison

Metric Seed-2.0-Code Seed-2.0-Code high Release: 2026-08-12 DeepSeek V3.2 DeepSeek V3.2 medium Release: 2025-12-01
Score 6.9 7.0
Rank #125 #116
Reliability 8.6 10.0
Consistency 7.8 7.4
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 63.6% 65.2%
Flaky tests 5 7
Total Runs 66 66
Cost per result 11.571 0.672
Total Cost $1.273 $0.078
Input Price $0.500 / 1M $0.269 / 1M
Output Price $3.000 / 1M $0.400 / 1M
Total Input Tokens 81,970 101,056
Output Tokens 7,186 11,832
Reasoning Tokens 403,389 116,955
Response Time (avg) 124.18s 68.43s
Response Time (max) 675.30s 376.10s
Response Time (total) 2732.03s 1505.53s
Parameters ~200B total (~20B active) 671B total (37B 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

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

#116 DeepSeek V3.2

medium
Cost
$0.001
Time
53.6s
Tokens
1,932 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
DeepSeek V3.2 6.0 7.2 55.6% 1 248.68s 5,717 649 52,014

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