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DeepSeek V4 Flash 0423 (high) vs GPT-5.2 Chat

GPT-5.2 Chat leads on average score with 7.9 vs 7.6. DeepSeek V4 Flash 0423 (high) has the lower benchmark cost at $0.026 vs $0.594. GPT-5.2 Chat is faster at 7.73s vs 51.81s, with pass rates of 69.7% vs 69.7%.

Last updated at: 2026-09-21

Compared models

Rank
#100
Total Output Tokens
211,310
Response Time (avg)
51.81s
Total Cost
$0.026
Rank
#83
Total Output Tokens
29,742
Response Time (avg)
7.73s
Total Cost
$0.594
Recommended model DeepSeek V4 Flash 0423 (high)

Its score stays close to the best score here (7.6 vs 7.9), while costing about 22.9x less than GPT-5.2 Chat.

Detailed comparison

Metric DeepSeek V4 Flash 0423 DeepSeek V4 Flash 0423 high Release: 2026-04-24 GPT-5.2 Chat GPT-5.2 Chat none Release: 2025-12-11
Score 7.6 7.9
Rank #100 #83
Reliability 10.0 10.0
Consistency 8.5 8.6
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 69.7% 69.7%
Flaky tests 4 4
Total Runs 66 66
Cost per result 0.446 4.564
Total Cost $0.026 $0.594
Input Price $0.056 / 1M $1.750 / 1M
Output Price $0.111 / 1M $14.000 / 1M
Total Input Tokens 108,480 101,104
Output Tokens 37,229 29,742
Reasoning Tokens 174,081 0
Response Time (avg) 51.81s 7.73s
Response Time (max) 218.13s 38.52s
Response Time (total) 1139.75s 162.40s
Parameters 284B total (13B active) ~400B total (~17B active)
Availability Open source Closed

Model generation showcase

Hamster playing table tennis

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

#100 DeepSeek V4 Flash 0423

high
Cost
$0.003
Time
93.1s
Tokens
7,926 tok

#83 GPT-5.2 Chat

none
Cost
$0.010
Time
15.3s
Tokens
797 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 Flash 0423 7.8 10.0 66.7% 0 50.60s 7,279 395 34,862
GPT-5.2 Chat 8.8 7.8 88.9% 1 9.82s 7,305 6,731 0

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