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Claude Opus 4.8 (low) vs DeepSeek V4 Pro (high)

Claude Opus 4.8 (low) leads on average score with 7.8 vs 7.7. DeepSeek V4 Pro (high) has the lower benchmark cost at $0.555 vs $2.089. Claude Opus 4.8 (low) is faster at 12.88s vs 92.50s, with pass rates of 80.3% vs 63.6%.

Last updated at: 2026-08-14

Rank
#67
Total Output Tokens
52,237
Response Time (avg)
12.88s
Total Cost
$2.089
Rank
#72
Total Output Tokens
209,444
Response Time (avg)
92.50s
Total Cost
$0.555
Recommended model Claude Opus 4.8 (low)

It has the best score here (7.8), while responding about 7.2x faster than DeepSeek V4 Pro (high).

Detailed comparison

Metric Claude Opus 4.8 Claude Opus 4.8 low Release: 2026-05-28 DeepSeek V4 Pro DeepSeek V4 Pro high Release: 2026-04-24
Score 7.8 7.7
Rank #67 #72
Reliability 10.0 10.0
Consistency 8.9 7.7
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 80.3% 63.6%
Flaky tests 3 6
Total Runs 66 66
Cost per result 13.054 2.251
Total Cost $2.089 $0.555
Input Price $5.000 / 1M $1.169 / 1M
Output Price $25.000 / 1M $2.337 / 1M
Total Input Tokens 156,522 90,757
Output Tokens 43,056 22,928
Reasoning Tokens 9,181 186,516
Response Time (avg) 12.88s 92.50s
Response Time (max) 127.97s 416.76s
Response Time (total) 283.32s 2035.01s
Parameters ~5T total (~500B active) 1.6T total (49B active)
Availability Closed Open source

Model generation showcase

Hamster playing table tennis

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

#67 Claude Opus 4.8

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

#72 DeepSeek V4 Pro

high
Cost
$0.023
Time
257.6s
Tokens
14,870 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 V4 Pro 6.3 8.7 33.3% 0 243.00s 5,090 383 84,580

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