- Nafasi
- #334
- Jumla ya tokeni za matokeo
- 57,866
- Muda wa majibu (wastani)
- 22.44s
- Jumla ya gharama
- $0.119
DeepSeek V3.2 vs KAT Coder AIR V2.5 (default)
DeepSeek V3.2 inaongoza kwa average score: 4.6 vs 4.4. KAT Coder AIR V2.5 (default) ina gharama ya chini ya benchmark: $0.070 vs $0.119. KAT Coder AIR V2.5 (default) ni ya haraka zaidi: 11.96s vs 22.44s, na pass rates 34.8% vs 34.8%.
Modeli zilizolinganishwa
- Nafasi
- #348
- Jumla ya tokeni za matokeo
- 97,752
- Muda wa majibu (wastani)
- 11.96s
- Jumla ya gharama
- $0.070
Muundo unaopendekezwa
KAT Coder AIR V2.5 (default)
Its score stays close to the best score here (4.4 vs 4.6), while costing about 1.7x less than DeepSeek V3.2.
Ulinganisho wa kina
| Kipimo | DeepSeek V3.2 DeepSeek V3.2 none | KAT Coder AIR V2.5 KAT Coder AIR V2.5 default |
|---|---|---|
| Alama | 4.6 | 4.4 |
| Nafasi | #334 | #348 |
| Uaminifu | 10.0 | 10.0 |
| Uthabiti | 8.2 | 7.4 |
| Majaribio | 69/69 | 69/69 |
| Majaribio sahihi | ||
| Kiwango cha kupita kwa kila jaribio | 34.8% | 34.8% |
| Majaribio yasiyo thabiti | 5 | 7 |
| Jumla ya uendeshaji | 69 | 69 |
| Gharama kwa matokeo | 1.943 | 1.382 |
| Jumla ya gharama | $0.119 | $0.070 |
| Bei ya ingizo | $0.280 / 1M | $0.150 / 1M |
| Bei ya toleo | $0.420 / 1M | $0.600 / 1M |
| Bei ya kusoma akiba | $0.028 / 1M | Haipo |
| Bei ya kuandika akiba | Haipo | Haipo |
| Jumla ya tokeni za ingizo | 342,158 | 69,376 |
| Tokeni za matokeo | 32,853 | 7,792 |
| Tokeni za hoja | 25,013 | 89,960 |
| Muda wa majibu (wastani) | 22.44s | 11.96s |
| Muda wa majibu (upeo) | 122.50s | 121.05s |
| Muda wa majibu (jumla) | 516.03s | 275.18s |
| Vigezo | 671B jumla (37B vinavyotumika) | ~35B jumla (~3B 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.
#334 DeepSeek V3.2
none- Gharama
- $0.002
- Muda
- 7.0s
- Tokeni
- 1,046 tok
#348 KAT Coder AIR V2.5
default- Gharama
- $0.002
- Muda
- 14.5s
- Tokeni
- 2,619 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
| 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 V3.2 | 3.0 | 10.0 | 0.0% | 0 | 122.50s | 206,327 | 15,767 | 0 | |
| KAT Coder AIR V2.5 | 3.0 | 10.0 | 0.0% | 0 | 1.07s | 0 | 0 | 0 |
| 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 V3.2 | 3.2 | 8.0 | 8.3% | 1 | 9.35s | 494 | 1,073 | 0 | |
| KAT Coder AIR V2.5 | 5.3 | 5.6 | 50.0% | 2 | 2.68s | 672 | 686 | 2,358 |
| 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 V3.2 | 3.1 | 6.9 | 11.1% | 1 | 14.54s | 7,279 | 4,528 | 0 | |
| KAT Coder AIR V2.5 | 3.3 | 9.6 | 0.0% | 0 | 14.31s | 6,472 | 2,032 | 14,886 |
| 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 V3.2 | 4.8 | 10.0 | 0.0% | 0 | 113.53s | 109,626 | 10,550 | 23,269 | |
| KAT Coder AIR V2.5 | 3.8 | 1.6 | 50.0% | 2 | 73.00s | 43,170 | 2,531 | 48,237 |
| 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 V3.2 | 6.3 | 5.8 | 66.7% | 1 | 9.42s | 7,890 | 210 | 1,500 | |
| KAT Coder AIR V2.5 | 6.3 | 5.8 | 66.7% | 1 | 2.66s | 7,776 | 280 | 988 |
| 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 V3.2 | 3.0 | 10.0 | 0.0% | 0 | 1.48s | 675 | 23 | 0 | |
| KAT Coder AIR V2.5 | 3.0 | 10.0 | 0.0% | 0 | 8.33s | 780 | 1,399 | 10,258 |
| 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 V3.2 | 4.7 | 1.6 | 66.7% | 1 | 9.32s | 314 | 43 | 0 | |
| KAT Coder AIR V2.5 | 5.0 | 10.0 | 0.0% | 0 | 12.02s | 516 | 141 | 515 |
| 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 V3.2 | 10.0 | 10.0 | 100.0% | 0 | 1.52s | 627 | 66 | 0 | |
| KAT Coder AIR V2.5 | 9.9 | 10.0 | 100.0% | 0 | 1.75s | 699 | 90 | 768 |
| 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 V3.2 | 7.6 | 7.2 | 77.8% | 1 | 6.91s | 424 | 298 | 0 | |
| KAT Coder AIR V2.5 | 2.9 | 4.4 | 22.2% | 2 | 1.84s | 696 | 284 | 971 |
| 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 V3.2 | 10.0 | 10.0 | 100.0% | 0 | 11.85s | 8,319 | 278 | 244 | |
| KAT Coder AIR V2.5 | 10.0 | 10.0 | 100.0% | 0 | 5.13s | 8,391 | 330 | 1,230 |
| 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 V3.2 | 3.0 | 10.0 | 0.0% | 0 | 17.23s | 183 | 17 | 0 | |
| KAT Coder AIR V2.5 | 3.0 | 10.0 | 0.0% | 0 | 17.96s | 204 | 19 | 9,749 |
Ulinganisho wa haraka
Badilisha jozi ya ulinganisho
KAT Coder AIR V2.5defaultvsNemotron 3 SupernoneInapatikana bureGranite 4.2 8BnonevsKAT Coder AIR V2.5defaultDeepSeek V3.2nonevsQwen3 Coder NextmediumDeepSeek V3.2nonevsLaguna S 2.1lowInapatikana bureDeepSeek V3.2nonevsGranite 4.2 8BhighDeepSeek V3.2nonevsNemotron 3.5 LightninglowInapatikana bureCobuddymediumInapatikana burevsKAT Coder AIR V2.5defaultNorth Mini CodedefaultInapatikana burevsDeepSeek V3.2noneMercury 2nonevsKAT Coder AIR V2.5defaultDeepSeek V3.2nonevsNemotron 3.5 LightningmediumInapatikana bureDeepSeek V3.2nonevsMercury 2.5 PreviewdefaultDeepSeek V3.2nonevsLing 2.6 Flashdefault