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DeepSeek V4 Pro 0423 (high) vs Qwen3.5-27B (medium)

DeepSeek V4 Pro 0423 (high) leads on average score with 8.1 vs 7.9. DeepSeek V4 Pro 0423 (high) has the lower benchmark cost at $0.149 vs $1.135. DeepSeek V4 Pro 0423 (high) is faster at 91.29s vs 114.73s, with pass rates of 65.2% vs 76.8%.

Last updated at: 2026-10-19

Compared models

Rank
#106
Total Output Tokens
211,343
Response Time (avg)
91.29s
Total Cost
$0.149
Rank
#116
Total Output Tokens
635,288
Response Time (avg)
114.73s
Total Cost
$1.135
Recommended model DeepSeek V4 Pro 0423 (high)

It has the best score here (8.1), while costing about 7.7x less than Qwen3.5-27B (medium).

Detailed comparison

Metric DeepSeek V4 Pro 0423 DeepSeek V4 Pro 0423 high Release: 2026-04-24 Qwen3.5-27B Qwen3.5-27B medium Release: 2026-02-24
Score 8.1 7.9
Rank #106 #116
Reliability 10.0 10.0
Consistency 7.8 7.9
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 65.2% 76.8%
Flaky tests 6 6
Total Runs 69 69
Cost per result 3.717 8.104
Total Cost $0.149 $1.135
Input Price $0.209 / 1M $0.195 / 1M
Output Price $0.418 / 1M $1.560 / 1M
Cache Read Price $0.018 / 1M N/A
Cache Write Price N/A N/A
Total Input Tokens 287,061 288,919
Output Tokens 32,056 17,484
Reasoning Tokens 196,607 617,804
Response Time (avg) 91.29s 114.73s
Response Time (max) 416.76s 1026.43s
Response Time (total) 2099.56s 2638.74s
Parameters 1.6T total (49B active) 27B
Availability Open source 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.

#106 DeepSeek V4 Pro 0423

high
Cost
$0.023
Time
257.6s
Tokens
14,870 tok

#116 Qwen3.5-27B

medium
Cost
$0.008
Time
62.0s
Tokens
3,099 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 V4 Pro 0423 6.3 8.7 33.3% 0 243.00s 5,090 383 84,580
Qwen3.5-27B 6.2 7.1 55.6% 1 160.69s 7,895 6,381 89,388

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