Urambazaji
Advertise here

Muse Ember (low) vs Qwen3.8 27B (high)

average score iko karibu sawa: 8.6 vs 8.7. Muse Ember (low) ina gharama ya chini ya benchmark: $0.114 vs ~$0.298. Muse Ember (low) ni ya haraka zaidi: 8.22s vs 166.34s, na pass rates 72.5% vs 78.3%.

Benchmark zimetengenezwa kutoka seti za majaribio za AI BENCHY tarehe: 2026-11-10

Modeli zilizolinganishwa

Nafasi
#86
Jumla ya tokeni za matokeo
169,226
Muda wa majibu (wastani)
8.22s
Jumla ya gharama
$0.114
Nafasi
#81
Jumla ya tokeni za matokeo
677,080
Muda wa majibu (wastani)
166.34s
Jumla ya gharama
~$0.298
Muundo unaopendekezwa Muse Ember (low)

It has the best score here (8.6), while costing about 2.6x less than Qwen3.8 27B (high).

Ulinganisho wa kina

Kipimo Muse Ember Muse Ember low Toleo: 2026-11-09 Qwen3.8 27B Qwen3.8 27B high Toleo: 2026-08-14 Inapatikana bure
Alama 8.6 8.7
Nafasi #86 #81
Uaminifu 10.0 9.7
Uthabiti 8.9 9.2
Majaribio 69/69 69/69
Majaribio sahihi
Kiwango cha kupita kwa kila jaribio 72.5% 78.3%
Majaribio yasiyo thabiti 3 2
Jumla ya uendeshaji 69 69
Gharama kwa matokeo 0.757 ~1.751
Jumla ya gharama $0.114 ~$0.298
Bei ya ingizo $0.100 / 1M Haipo
Bei ya toleo $0.500 / 1M Haipo
Bei ya kusoma akiba $0.004 / 1M Haipo
Bei ya kuandika akiba $0.125 / 1M Haipo
Jumla ya tokeni za ingizo 288,136 348,967
Tokeni za matokeo 13,507 1,005
Tokeni za hoja 155,719 676,075
Muda wa majibu (wastani) 8.22s 166.34s
Muda wa majibu (upeo) 49.79s 640.85s
Muda wa majibu (jumla) 189.12s 3825.81s
Vigezo ~150B jumla (~10B vinavyotumika) 27.3B
Upatikanaji Imefungwa Uzani unapatikana

Bei za akiba zinahusu tokeni za ingizo. Kusoma hutumia tena maelekezo yaliyohifadhiwa; kuandika huyahifadhi na kunaweza kuongeza gharama. Tokeni za matokeo hutumia bei ya matokeo.

Onyesho la kizazi cha modeli

Hamster playing table tennis

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

#86 Muse Ember

low
Gharama
$0.003
Muda
11.3s
Tokeni
4,679 tok

#81 Qwen3.8 27B

high
Gharama
~$0.008
Muda
270.1s
Tokeni
18,963 tok

Modeli bora kwa alama

Alama dhidi ya gharama ya jumla

Muda wa majibu (wastani)

Alama vs Muda wa majibu (wastani)

Jumla ya tokeni za matokeo

Alama vs Jumla ya tokeni za matokeo

Mgawanyo wa kategoria

Uandishi wa msimbo Alama Uthabiti Kiwango cha kupita kwa kila jaribio Majaribio yasiyo thabiti Majaribio sahihi Muda wa majibu (wastani) Tokeni za ingizo Tokeni za matokeo Tokeni za hoja
Muse Ember 10.0 10.0 100.0% 0 5.21s 7,410 765 15,944
Qwen3.8 27B 8.1 7.0 88.9% 1 248.62s 8,235 346 143,335

Badilisha jozi ya ulinganisho

GPT-5.2mediumvsQwen3.8 27BhighInapatikana bureQwen3.8 27BhighInapatikana burevsMiMo-V2.6-PromediumSeed 2.1 TurbomediumvsQwen3.8 27BhighInapatikana bureGPT-6 SollowvsQwen3.8 27BhighInapatikana bureDeepSeek V4.1 FlashmaxvsMuse EmberlowClaude Fable 5.2highvsMuse EmberlowParticle-1xhighvsQwen3.8 27BhighInapatikana bureSeed 2.1 TurbomediumvsMuse EmberlowMuse EmberlowvsMiMo-V2.6-PromediumMuse EmbermaxvsQwen3.8 27BhighInapatikana bureMuse EmberlowvsGPT-5.2mediumMuse EmberlowvsGPT-6.1 Terranone