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Anthropic: Claude Opus 4.8 vs DeepSeek: DeepSeek V3.2

Claude Opus 4.8 (low) leads on average score with 7.8 vs 7.0. DeepSeek V3.2 (medium) has the lower benchmark cost at $0.078 vs $2.077. Claude Opus 4.8 (low) is faster at 12.74s vs 68.62s, with pass rates of 80.3% vs 65.2%.

Recommended modelClaude Opus 4.8 (low)It has the best score here (7.8), while responding about 5.4x faster than DeepSeek V3.2 (medium).

Last updated at: 2026-07-17

Metric Claude Opus 4.8 Claude Opus 4.8 low Release: 2026-05-28 DeepSeek V3.2 DeepSeek V3.2 medium Release: 2025-12-01
Score 7.8 7.0
Rank #39 #73
Reliability 10.0 10.0
Consistency 8.9 7.4
Tests Correct
Attempt pass rate 80.3% 65.2%
Flaky tests 3 7
Total Runs 66 66
Cost per result 12.979 0.671
Total Cost $2.077 $0.078
Input Price $5.000 / 1M $0.269 / 1M
Output Price $25.000 / 1M $0.400 / 1M
Total Input Tokens 156,525 101,047
Output Tokens 43,141 11,834
Reasoning Tokens 8,617 117,014
Response Time (avg) 12.74s 68.62s
Response Time (max) 127.97s 376.10s
Response Time (total) 280.29s 1509.53s

Hamster playing table tennis

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

#39 Claude Opus 4.8

low
Cost
$0.031
Time
14.1s
Tokens
1,345 tok

#73 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
Claude Opus 4.8 6.6 4.6 77.8% 2 7.58s 10,590 3,637 809
DeepSeek V3.2 6.0 7.2 55.6% 1 248.68s 5,717 649 52,014

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