- Nafasi
- #36
- Jumla ya tokeni za matokeo
- 523,482
- Muda wa majibu (wastani)
- 32.55s
- Jumla ya gharama
- $0.355
DeepSeek V4.1 Flash 1017 (low) vs Muse Wonder (low)
DeepSeek V4.1 Flash 1017 (low) inaongoza kwa average score: 9.2 vs 9.1. DeepSeek V4.1 Flash 1017 (low) ina gharama ya chini ya benchmark: $0.355 vs $2.637. Muse Wonder (low) ni ya haraka zaidi: 16.00s vs 32.55s, na pass rates 78.3% vs 76.8%.
Modeli zilizolinganishwa
- Nafasi
- #41
- Jumla ya tokeni za matokeo
- 82,847
- Muda wa majibu (wastani)
- 16.00s
- Jumla ya gharama
- $2.637
Muundo unaopendekezwa
DeepSeek V4.1 Flash 1017 (low)
It has the best score here (9.2), while costing about 7.4x less than Muse Wonder (low).
Ulinganisho wa kina
| Kipimo | DeepSeek V4.1 Flash 1017 DeepSeek V4.1 Flash 1017 low | Muse Wonder Muse Wonder low |
|---|---|---|
| Alama | 9.2 | 9.1 |
| Nafasi | #36 | #41 |
| Uaminifu | 10.0 | 9.7 |
| Uthabiti | 9.0 | 9.6 |
| Majaribio | 69/69 | 69/69 |
| Majaribio sahihi | ||
| Kiwango cha kupita kwa kila jaribio | 78.3% | 76.8% |
| Majaribio yasiyo thabiti | 3 | 1 |
| Jumla ya uendeshaji | 69 | 69 |
| Gharama kwa matokeo | 2.214 | 15.512 |
| Jumla ya gharama | $0.355 | $2.637 |
| Bei ya ingizo | $0.150 / 1M | $4.000 / 1M |
| Bei ya toleo | $0.600 / 1M | $20.000 / 1M |
| Bei ya kusoma akiba | $0.003 / 1M | $0.200 / 1M |
| Bei ya kuandika akiba | Haipo | Haipo |
| Jumla ya tokeni za ingizo | 267,122 | 244,997 |
| Tokeni za matokeo | 7,369 | 11,148 |
| Tokeni za hoja | 516,113 | 71,699 |
| Muda wa majibu (wastani) | 32.55s | 16.00s |
| Muda wa majibu (upeo) | 443.63s | 83.98s |
| Muda wa majibu (jumla) | 748.62s | 367.91s |
| Vigezo | ~748B jumla (~16B vinavyotumika) | ~1T jumla (~50B vinavyotumika) |
| Upatikanaji | Chanzo huria | Imefungwa |
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.
#36 DeepSeek V4.1 Flash 1017
low- Gharama
- $0.006
- Muda
- 63.8s
- Tokeni
- 11,236 tok
#41 Muse Wonder
low- Gharama
- $0.080
- Muda
- 28.1s
- Tokeni
- 4,067 tok
Mgawanyo wa kategoria
| Kazi za mawakala | 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 46.67s | 156,869 | 2,102 | 5,290 | |
| Muse Wonder | 10.0 | 10.0 | 100.0% | 0 | 44.57s | 149,681 | 2,520 | 1,668 |
| Mbinu za kupinga AI | 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 8.3 | 10.0 | 75.0% | 0 | 2.02s | 852 | 171 | 2,193 | |
| Muse Wonder | 10.0 | 10.0 | 100.0% | 0 | 4.37s | 786 | 344 | 3,587 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 27.01s | 7,509 | 323 | 45,628 | |
| Muse Wonder | 10.0 | 10.0 | 100.0% | 0 | 17.81s | 7,401 | 1,050 | 15,813 |
| Mchanganyiko | 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 18.73s | 82,444 | 3,880 | 15,379 | |
| Muse Wonder | 10.0 | 10.0 | 100.0% | 0 | 24.68s | 66,803 | 4,907 | 10,127 |
| Uchanganuzi na uchimbaji wa data | 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 1.71s | 7,446 | 207 | 1,344 | |
| Muse Wonder | 10.0 | 10.0 | 100.0% | 0 | 4.27s | 7,053 | 315 | 2,367 |
| Mahususi kwa domeni | 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 3.6 | 7.2 | 22.2% | 1 | 174.63s | 909 | 9 | 428,331 | |
| Muse Wonder | 5.3 | 10.0 | 33.3% | 0 | 51.40s | 761 | 1,060 | 30,749 |
| Akili ya jumla | 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 2.25s | 549 | 116 | 553 | |
| Muse Wonder | 10.0 | 10.0 | 100.0% | 0 | 3.94s | 519 | 151 | 691 |
| Ufuataji wa maagizo | 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 1.25s | 783 | 69 | 898 | |
| Muse Wonder | 6.5 | 10.0 | 50.0% | 0 | 2.08s | 408 | 60 | 849 |
| Utatuzi wa mafumbo | 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 6.9 | 4.9 | 77.8% | 2 | 2.54s | 828 | 236 | 3,620 | |
| Muse Wonder | 5.9 | 7.2 | 55.6% | 1 | 5.08s | 459 | 261 | 2,402 |
| Mwito wa zana | 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 1.92s | 8,672 | 237 | 338 | |
| Muse Wonder | 9.8 | 10.0 | 100.0% | 0 | 8.75s | 10,901 | 359 | 1,862 |
| Maarifa ya jumla | 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 3.0 | 10.0 | 0.0% | 0 | 33.79s | 261 | 19 | 12,539 | |
| Muse Wonder | 3.0 | 10.0 | 0.0% | 0 | 8.23s | 225 | 121 | 1,584 |
Ulinganisho wa haraka
Badilisha jozi ya ulinganisho
Muse WonderlowvsParetodefaultSeed 2.1 TurbohighvsMuse WonderlowDeepSeek V4.1 Flash 1017lowvsQwen3.8 MAXmediumClaude Sonnet 5.5maxvsDeepSeek V4.1 Flash 1017lowClaude Haiku 5.5xhighvsMuse WonderlowDeepSeek V4.1 Flash 1017lowvsGPT-5.5mediumMuse WonderlowvsGPT-5.3-CodexmediumMuse WonderlowvsQwen3.8 Max (0902)highDeepSeek V4.1 Flash 1017lowvsQwen3.8 Max (0902)highDeepSeek V4.1 Flash 1017lowvsMuse WondermediumClaude Opus 5.5mediumvsDeepSeek V4.1 Flash 1017lowDeepSeek V4.1 Flash 1017lowvsGPT-5.3-Codexmedium