- 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 Spark 1.3 (high)
average score iko karibu sawa: 9.2 vs 9.1. DeepSeek V4.1 Flash 1017 (low) ina gharama ya chini ya benchmark: $0.355 vs $1.891. DeepSeek V4.1 Flash 1017 (low) ni ya haraka zaidi: 32.55s vs 52.87s, na pass rates 78.3% vs 78.3%.
Modeli zilizolinganishwa
- Nafasi
- #40
- Jumla ya tokeni za matokeo
- 369,142
- Muda wa majibu (wastani)
- 52.87s
- Jumla ya gharama
- $1.891
Muundo unaopendekezwa
DeepSeek V4.1 Flash 1017 (low)
It has the best score here (9.2), while costing about 5.3x less than Muse Spark 1.3 (high).
Ulinganisho wa kina
| Kipimo | DeepSeek V4.1 Flash 1017 DeepSeek V4.1 Flash 1017 low | Muse Spark 1.3 Muse Spark 1.3 high |
|---|---|---|
| Alama | 9.2 | 9.1 |
| Nafasi | #36 | #40 |
| Uaminifu | 10.0 | 10.0 |
| Uthabiti | 9.0 | 9.3 |
| Majaribio | 69/69 | 69/69 |
| Majaribio sahihi | ||
| Kiwango cha kupita kwa kila jaribio | 78.3% | 78.3% |
| Majaribio yasiyo thabiti | 3 | 2 |
| Jumla ya uendeshaji | 69 | 69 |
| Gharama kwa matokeo | 2.214 | 11.121 |
| Jumla ya gharama | $0.355 | $1.891 |
| Bei ya ingizo | $0.150 / 1M | $1.250 / 1M |
| Bei ya toleo | $0.600 / 1M | $4.250 / 1M |
| Bei ya kusoma akiba | $0.003 / 1M | $0.150 / 1M |
| Bei ya kuandika akiba | Haipo | Haipo |
| Jumla ya tokeni za ingizo | 267,122 | 257,320 |
| Tokeni za matokeo | 7,369 | 14,459 |
| Tokeni za hoja | 516,113 | 354,683 |
| Muda wa majibu (wastani) | 32.55s | 52.87s |
| Muda wa majibu (upeo) | 443.63s | 251.53s |
| Muda wa majibu (jumla) | 748.62s | 1216.04s |
| 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
#40 Muse Spark 1.3
high- Gharama
- $0.050
- Muda
- 203.3s
- Tokeni
- 11,679 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 Spark 1.3 | 10.0 | 10.0 | 100.0% | 0 | 61.28s | 158,177 | 2,376 | 7,158 |
| 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 Spark 1.3 | 10.0 | 10.0 | 100.0% | 0 | 5.71s | 618 | 487 | 8,829 |
| 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 Spark 1.3 | 10.0 | 10.0 | 100.0% | 0 | 51.66s | 7,275 | 1,228 | 64,287 |
| 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 Spark 1.3 | 10.0 | 10.0 | 100.0% | 0 | 55.55s | 68,737 | 5,707 | 46,328 |
| 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 Spark 1.3 | 10.0 | 10.0 | 100.0% | 0 | 7.01s | 7,155 | 491 | 6,758 |
| 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 Spark 1.3 | 2.9 | 7.2 | 11.1% | 1 | 174.56s | 690 | 801 | 114,774 |
| 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 Spark 1.3 | 10.0 | 10.0 | 100.0% | 0 | 9.49s | 477 | 228 | 2,634 |
| 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 Spark 1.3 | 6.5 | 10.0 | 50.0% | 0 | 14.70s | 669 | 353 | 10,553 |
| 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 Spark 1.3 | 8.7 | 7.7 | 88.9% | 1 | 38.42s | 651 | 1,178 | 37,874 |
| 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 Spark 1.3 | 9.6 | 10.0 | 100.0% | 0 | 33.95s | 12,688 | 1,046 | 14,673 |
| 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 Spark 1.3 | 3.0 | 10.0 | 0.0% | 0 | 140.05s | 183 | 564 | 40,815 |
Ulinganisho wa haraka
Badilisha jozi ya ulinganisho
Claude Haiku 5.5xhighvsMuse Spark 1.3highMuse Spark 1.3highvsGPT-5.3-CodexmediumDeepSeek V4.1 Flash 1017lowvsQwen3.8 MAXmediumClaude Sonnet 5.5maxvsDeepSeek V4.1 Flash 1017lowMuse Spark 1.3highvsParetodefaultDeepSeek V4.1 Flash 1017lowvsGPT-5.5mediumDeepSeek 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-CodexmediumDeepSeek V4.1 Flash 1017lowvsMuse Spark OpenhighClaude Haiku 5.5xhighvsDeepSeek V4.1 Flash 1017low