- Nafasi
- #222
- Jumla ya tokeni za matokeo
- 842,200
- Muda wa majibu (wastani)
- 95.16s
- Jumla ya gharama
- $0.700
Trinity Large Thinking (low) vs KAT-Coder-Pro V2.5 (medium)
Trinity Large Thinking (low) inaongoza kwa average score: 6.3 vs 6.2. KAT-Coder-Pro V2.5 (medium) ina gharama ya chini ya benchmark: $0.478 vs $0.700. KAT-Coder-Pro V2.5 (medium) ni ya haraka zaidi: 23.94s vs 95.16s, na pass rates 47.8% vs 62.3%.
Modeli zilizolinganishwa
- Nafasi
- #226
- Jumla ya tokeni za matokeo
- 139,375
- Muda wa majibu (wastani)
- 23.94s
- Jumla ya gharama
- $0.478
Muundo unaopendekezwa
KAT-Coder-Pro V2.5 (medium)
Its score stays close to the best score here (6.2 vs 6.3), while responding about 4.0x faster than Trinity Large Thinking (low).
Ulinganisho wa kina
| Kipimo | Trinity Large Thinking Trinity Large Thinking low | KAT-Coder-Pro V2.5 KAT-Coder-Pro V2.5 medium |
|---|---|---|
| Alama | 6.3 | 6.2 |
| Nafasi | #222 | #226 |
| Uaminifu | 10.0 | 10.0 |
| Uthabiti | 8.1 | 7.2 |
| Majaribio | 69/69 | 69/69 |
| Majaribio sahihi | ||
| Kiwango cha kupita kwa kila jaribio | 47.8% | 62.3% |
| Majaribio yasiyo thabiti | 6 | 8 |
| Jumla ya uendeshaji | 69 | 69 |
| Gharama kwa matokeo | 9.163 | 4.342 |
| Jumla ya gharama | $0.700 | $0.478 |
| Bei ya ingizo | $0.250 / 1M | $0.740 / 1M |
| Bei ya toleo | $0.800 / 1M | $2.960 / 1M |
| Jumla ya tokeni za ingizo | 347,980 | 87,916 |
| Tokeni za matokeo | 121,898 | 7,213 |
| Tokeni za hoja | 720,302 | 132,162 |
| Muda wa majibu (wastani) | 95.16s | 23.94s |
| Muda wa majibu (upeo) | 540.96s | 257.00s |
| Muda wa majibu (jumla) | 2188.74s | 550.52s |
| Vigezo | 398B jumla (13B vinavyotumika) | ~700B jumla (~72B vinavyotumika) |
| Upatikanaji | Uzani unapatikana | Imefungwa |
Onyesho la kizazi cha modeli
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#222 Trinity Large Thinking
low- Gharama
- $0.021
- Muda
- 173.2s
- Tokeni
- 24,586 tok
#226 KAT-Coder-Pro V2.5
medium- Gharama
- $0.009
- Muda
- 25.6s
- Tokeni
- 2,939 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 |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 7.4 | 3.8 | 66.7% | 1 | 63.23s | 225,126 | 2,088 | 21,753 | |
| KAT-Coder-Pro V2.5 | 3.0 | 10.0 | 0.0% | 0 | 3.38s | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 8.3 | 10.0 | 75.0% | 0 | 5.70s | 663 | 1,451 | 5,431 | |
| KAT-Coder-Pro V2.5 | 8.2 | 7.9 | 83.3% | 1 | 3.90s | 672 | 208 | 3,868 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 5.3 | 10.0 | 33.3% | 0 | 344.45s | 5,441 | 27,039 | 217,241 | |
| KAT-Coder-Pro V2.5 | 7.8 | 10.0 | 66.7% | 0 | 33.10s | 7,893 | 416 | 33,658 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 5.2 | 6.0 | 33.3% | 1 | 291.02s | 99,467 | 9,848 | 234,039 | |
| KAT-Coder-Pro V2.5 | 6.4 | 5.8 | 66.7% | 1 | 135.75s | 60,289 | 5,478 | 51,591 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 7.3 | 5.8 | 83.3% | 1 | 14.30s | 6,906 | 459 | 9,451 | |
| KAT-Coder-Pro V2.5 | 7.3 | 5.9 | 83.3% | 1 | 4.70s | 7,776 | 275 | 2,122 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 2.9 | 7.2 | 11.1% | 1 | 140.26s | 756 | 72,049 | 217,598 | |
| KAT-Coder-Pro V2.5 | 2.9 | 4.4 | 22.2% | 2 | 35.11s | 780 | 36 | 33,495 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 10.0 | 10.0 | 100.0% | 0 | 12.65s | 501 | 5,138 | 5,695 | |
| KAT-Coder-Pro V2.5 | 4.7 | 3.1 | 33.3% | 1 | 2.35s | 516 | 92 | 381 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 4.4 | 6.8 | 16.7% | 1 | 4.07s | 684 | 45 | 3,710 | |
| KAT-Coder-Pro V2.5 | 9.9 | 10.0 | 100.0% | 0 | 2.58s | 699 | 83 | 971 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 6.3 | 7.9 | 44.4% | 1 | 3.28s | 678 | 2,625 | 3,077 | |
| KAT-Coder-Pro V2.5 | 5.9 | 4.5 | 66.7% | 2 | 3.20s | 696 | 325 | 1,867 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 10.0 | 10.0 | 100.0% | 0 | 5.19s | 7,551 | 299 | 1,430 | |
| KAT-Coder-Pro V2.5 | 10.0 | 10.0 | 100.0% | 0 | 19.02s | 8,391 | 282 | 1,010 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 3.0 | 10.0 | 0.0% | 0 | 2.10s | 207 | 857 | 877 | |
| KAT-Coder-Pro V2.5 | 3.0 | 10.0 | 0.0% | 0 | 9.87s | 204 | 18 | 3,199 |
Ulinganisho wa haraka
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