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DeepSeek V4.1 Flash (high) vs Muse Spark 1.2 (low)

The average score is effectively tied at 8.5 vs 8.4. DeepSeek V4.1 Flash (high) has the lower benchmark cost at $0.287 vs $0.655. Muse Spark 1.2 (low) is faster at 9.77s vs 32.78s, with pass rates of 74.2% vs 77.3%.

Last updated at: 2026-09-10

Compared models

Rank
#52
Total Output Tokens
452,940
Response Time (avg)
32.78s
Total Cost
$0.287
Rank
#55
Total Output Tokens
123,963
Response Time (avg)
9.77s
Total Cost
$0.655
Recommended model Muse Spark 1.2 (low)

It has the best score here (8.4), while responding about 3.4x faster than DeepSeek V4.1 Flash (high).

Detailed comparison

Metric DeepSeek V4.1 Flash DeepSeek V4.1 Flash high Release: 2026-09-10 Muse Spark 1.2 Muse Spark 1.2 low Release: 2026-08-06
Score 8.5 8.4
Rank #52 #55
Reliability 9.6 10.0
Consistency 8.9 9.0
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 74.2% 77.3%
Flaky tests 3 3
Total Runs 66 66
Cost per result 1.912 4.361
Total Cost $0.287 $0.655
Input Price $0.150 / 1M $1.250 / 1M
Output Price $0.600 / 1M $4.250 / 1M
Total Input Tokens 100,111 101,811
Output Tokens 6,642 8,025
Reasoning Tokens 446,298 115,938
Response Time (avg) 32.78s 9.77s
Response Time (max) 205.53s 47.80s
Response Time (total) 721.15s 214.83s
Parameters 748B total (16B active) ~1T total (~50B active)
Availability Open source Closed

Model generation showcase

Hamster playing table tennis

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

#52 DeepSeek V4.1 Flash

high
Cost
$0.035
Time
111.0s
Tokens
29,201 tok

#55 Muse Spark 1.2

low
Cost
$0.019
Time
14.6s
Tokens
4,384 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 49.19s 7,509 376 108,285
Muse Spark 1.2 8.4 7.4 88.9% 1 10.09s 7,275 343 19,717

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