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DeepSeek V4.1 Flash (max) vs Muse Spark 1.1 (low)

The average score is effectively tied at 8.3 vs 8.3. DeepSeek V4.1 Flash (max) has the lower benchmark cost at $0.537 vs $0.673. Muse Spark 1.1 (low) is faster at 11.89s vs 61.35s, with pass rates of 68.2% vs 71.2%.

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
#63
Total Output Tokens
116,489
Response Time (avg)
11.89s
Total Cost
$0.673
Recommended model Muse Spark 1.1 (low)

It has the best score here (8.3), while responding about 5.2x faster than DeepSeek V4.1 Flash (max).

Detailed comparison

Metric DeepSeek V4.1 Flash DeepSeek V4.1 Flash max Release: 2026-09-10 Muse Spark 1.1 Muse Spark 1.1 low Release: 2026-07-16
Score 8.3 8.3
Rank #62 #63
Reliability 9.1 10.0
Consistency 9.2 8.5
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 68.2% 71.2%
Flaky tests 2 4
Total Runs 66 66
Cost per result 3.829 5.173
Total Cost $0.537 $0.673
Input Price $0.150 / 1M $1.250 / 1M
Output Price $0.600 / 1M $4.250 / 1M
Total Input Tokens 89,024 141,878
Output Tokens 5,558 11,033
Reasoning Tokens 865,568 105,456
Response Time (avg) 61.35s 11.89s
Response Time (max) 335.08s 54.15s
Response Time (total) 1349.61s 261.69s
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.

#62 DeepSeek V4.1 Flash

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

#63 Muse Spark 1.1

low
Cost
$0.020
Time
39.2s
Tokens
4,947 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
Muse Spark 1.1 10.0 10.0 100.0% 0 10.34s 8,562 394 14,503

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