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DeepSeek V3.2 vs Granite 4.2 8B (high)

The average score is effectively tied at 4.6 vs 4.7. DeepSeek V3.2 has the lower benchmark cost at $0.121 vs $0.161. DeepSeek V3.2 is faster at 22.44s vs 235.35s, with pass rates of 34.8% vs 37.7%.

Last updated at: 2026-10-01

Compared models

Rank
#320
Total Output Tokens
57,866
Response Time (avg)
22.44s
Total Cost
$0.121
Rank
#318
Total Output Tokens
661,367
Response Time (avg)
235.35s
Total Cost
$0.161
Recommended model DeepSeek V3.2

It has the best score here (4.6), while responding about 10.5x faster than Granite 4.2 8B (high).

Detailed comparison

Metric DeepSeek V3.2 DeepSeek V3.2 none Release: 2025-12-01 Granite 4.2 8B Granite 4.2 8B high Release: 2026-09-02
Score 4.6 4.7
Rank #320 #318
Reliability 10.0 8.2
Consistency 8.2 6.4
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 34.8% 37.7%
Flaky tests 5 10
Total Runs 69 69
Cost per result 1.943 2.751
Total Cost $0.121 $0.161
Input Price $0.280 / 1M $0.060 / 1M
Output Price $0.420 / 1M $0.250 / 1M
Total Input Tokens 342,158 282,658
Output Tokens 57,866 198,563
Reasoning Tokens 0 462,804
Response Time (avg) 22.44s 235.35s
Response Time (max) 122.50s 685.87s
Response Time (total) 516.03s 5413.09s
Parameters 671B total (37B active) 8B
Availability Open source Open source

Model generation showcase

Hamster playing table tennis

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

#320 DeepSeek V3.2

none
Cost
$0.002
Time
7.0s
Tokens
1,046 tok

#318 IBM: Granite 4.2 8B

high
Provider returned error
Cost
$0.000
Time
0.2s
Tokens
0 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
DeepSeek V3.2 3.1 6.9 11.1% 1 14.54s 7,279 4,528 0
Granite 4.2 8B 3.8 4.3 33.3% 2 515.34s 7,047 42,438 154,749

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