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Claude Opus 5 vs DeepSeek V4 Pro (high)

DeepSeek V4 Pro (high) leads on average score with 7.7 vs 7.5. DeepSeek V4 Pro (high) has the lower benchmark cost at $0.454 vs $1.550. Claude Opus 5 is faster at 7.65s vs 92.50s, with pass rates of 57.6% vs 63.6%.

Last updated at: 2026-09-07

Compared models

Rank
#97
Total Output Tokens
24,866
Response Time (avg)
7.65s
Total Cost
$1.550
Rank
#91
Total Output Tokens
209,444
Response Time (avg)
92.50s
Total Cost
$0.454
Recommended model Claude Opus 5

Its score stays close to the best score here (7.5 vs 7.7), while responding about 12.1x faster than DeepSeek V4 Pro (high).

Detailed comparison

Metric Claude Opus 5 Claude Opus 5 none Release: 2026-07-25 DeepSeek V4 Pro DeepSeek V4 Pro high Release: 2026-04-24
Score 7.5 7.7
Rank #97 #91
Reliability 10.0 10.0
Consistency 9.6 7.7
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 57.6% 63.6%
Flaky tests 1 6
Total Runs 66 66
Cost per result 12.912 2.251
Total Cost $1.550 $0.454
Input Price $5.000 / 1M $0.956 / 1M
Output Price $25.000 / 1M $1.911 / 1M
Total Input Tokens 185,547 90,757
Output Tokens 24,866 22,928
Reasoning Tokens 0 186,516
Response Time (avg) 7.65s 92.50s
Response Time (max) 47.72s 416.76s
Response Time (total) 168.35s 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.

#97 Claude Opus 5

none
Cost
$0.271
Time
149.3s
Tokens
10,962 tok

#91 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 5 5.9 9.7 33.3% 0 5.54s 10,590 2,886 0
DeepSeek V4 Pro 6.3 8.7 33.3% 0 243.00s 5,090 383 84,580

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