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DeepSeek V4.1 Flash (max) vs GPT-5.2 (medium)

GPT-5.2 (medium) leads on average score with 8.4 vs 8.3. DeepSeek V4.1 Flash (max) has the lower benchmark cost at $0.537 vs $1.182. GPT-5.2 (medium) is faster at 28.51s vs 61.35s, with pass rates of 68.2% vs 72.7%.

Last updated at: 2026-09-10

Compared models

Rank
#62
Total Output Tokens
871,126
Response Time (avg)
61.35s
Total Cost
$0.537
Rank
#58
Total Output Tokens
71,252
Response Time (avg)
28.51s
Total Cost
$1.182
Recommended model GPT-5.2 (medium)

It has the best score here (8.4), while responding about 2.2x faster than DeepSeek V4.1 Flash (max).

Detailed comparison

Metric DeepSeek V4.1 Flash DeepSeek V4.1 Flash max Release: 2026-09-10 GPT-5.2 GPT-5.2 medium Release: 2025-12-11
Score 8.3 8.4
Rank #62 #58
Reliability 9.1 10.0
Consistency 9.2 8.5
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 68.2% 72.7%
Flaky tests 2 4
Total Runs 66 66
Cost per result 3.829 8.438
Total Cost $0.537 $1.182
Input Price $0.150 / 1M $1.750 / 1M
Output Price $0.600 / 1M $14.000 / 1M
Total Input Tokens 89,024 105,013
Output Tokens 5,558 9,914
Reasoning Tokens 865,568 61,338
Response Time (avg) 61.35s 28.51s
Response Time (max) 335.08s 116.86s
Response Time (total) 1349.61s 456.13s
Parameters 748B total (16B active) ~1.2T total (~80B active)
Availability Open source Closed

Model generation showcase

Hamster playing table tennis

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

#62 DeepSeek V4.1 Flash

max
Cost
$0.066
Time
211.0s
Tokens
54,712 tok

#58 GPT-5.2

medium
Cost
$0.047
Time
49.2s
Tokens
3,396 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 V4.1 Flash 10.0 10.0 100.0% 0 62.50s 7,509 373 132,357
GPT-5.2 10.0 10.0 100.0% 0 22.73s 7,302 511 11,912

Quick Compare

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