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Claude Haiku 5.5 (low) vs DeepSeek V4 Pro 0423 (high)

Claude Haiku 5.5 (low) leads on average score with 8.6 vs 8.1. Claude Haiku 5.5 (low) has the lower benchmark cost at $0.061 vs $0.149. Claude Haiku 5.5 (low) is faster at 7.51s vs 91.29s, with pass rates of 76.8% vs 65.2%.

Last updated at: 2026-10-19

Compared models

Rank
#75
Total Output Tokens
61,650
Response Time (avg)
7.51s
Total Cost
$0.061
Rank
#106
Total Output Tokens
211,343
Response Time (avg)
91.29s
Total Cost
$0.149
Recommended model Claude Haiku 5.5 (low)

It has the best score here (8.6), while costing about 2.5x less than DeepSeek V4 Pro 0423 (high).

Detailed comparison

Metric Claude Haiku 5.5 Claude Haiku 5.5 low Release: 2026-10-07 DeepSeek V4 Pro 0423 DeepSeek V4 Pro 0423 high Release: 2026-04-24
Score 8.6 8.1
Rank #75 #106
Reliability 10.0 10.0
Consistency 8.9 7.8
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 76.8% 65.2%
Flaky tests 3 6
Total Runs 69 69
Cost per result 0.378 3.717
Total Cost $0.061 $0.149
Input Price $0.100 / 1M $0.209 / 1M
Output Price $0.500 / 1M $0.418 / 1M
Cache Read Price $0.010 / 1M $0.018 / 1M
Cache Write Price $0.125 / 1M N/A
Total Input Tokens 296,301 287,061
Output Tokens 10,672 32,056
Reasoning Tokens 50,978 196,607
Response Time (avg) 7.51s 91.29s
Response Time (max) 44.43s 416.76s
Response Time (total) 172.74s 2099.56s
Parameters ~50B 1.6T total (49B active)
Availability Closed Open source

Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.

Model generation showcase

Hamster playing table tennis

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

#75 Claude Haiku 5.5

low
Cost
$0.001
Time
7.4s
Tokens
1,851 tok

#106 DeepSeek V4 Pro 0423

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 Haiku 5.5 7.9 7.5 77.8% 1 7.30s 10,608 531 11,618
DeepSeek V4 Pro 0423 6.3 8.7 33.3% 0 243.00s 5,090 383 84,580

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