- Peringkat
- #198
- Total token output
- 144,359
- Waktu respons (rata-rata)
- 21.21s
- Total Biaya
- $0.506
KAT-Coder-Pro V2.5 (high) vs Grok 4.3 (medium)
Skor rata-rata hampir imbang di 6.5 vs 6.5. KAT-Coder-Pro V2.5 (high) memiliki biaya benchmark lebih rendah di $0.506 vs $0.989. KAT-Coder-Pro V2.5 (high) lebih cepat di 21.21s vs 44.53s, dengan tingkat keberhasilan 60.9% vs 63.8%.
Model yang Dibandingkan
- Peringkat
- #199
- Total token output
- 232,542
- Waktu respons (rata-rata)
- 44.53s
- Total Biaya
- $0.989
Model yang direkomendasikan
KAT-Coder-Pro V2.5 (high)
It has the best score here (6.5), while costing about 2.0x less than Grok 4.3 (medium).
Perbandingan terperinci
| Metrik | KAT-Coder-Pro V2.5 KAT-Coder-Pro V2.5 high | Grok 4.3 Grok 4.3 medium |
|---|---|---|
| Skor | 6.5 | 6.5 |
| Peringkat | #198 | #199 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 7.9 | 8.3 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 60.9% | 63.8% |
| Tes tidak stabil | 6 | 5 |
| Total Run | 69 | 69 |
| Biaya per hasil | 4.599 | 8.235 |
| Total Biaya | $0.506 | $0.989 |
| Harga input | $0.740 / 1M | $1.250 / 1M |
| Harga output | $2.960 / 1M | $2.500 / 1M |
| Total token input | 106,085 | 325,471 |
| Token output | 9,071 | 14,867 |
| Token penalaran | 135,288 | 217,675 |
| Waktu respons (rata-rata) | 21.21s | 44.53s |
| Waktu respons (maks) | 199.97s | 216.69s |
| Waktu respons (total) | 487.83s | 1024.25s |
| Parameter | ~700B total (~72B aktif) | ~1.5T total (~150B aktif) |
| Ketersediaan | Tertutup | Tertutup |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#198 KAT-Coder-Pro V2.5
high- Biaya
- $0.009
- Waktu
- 26.4s
- Token
- 3,117 tok
#199 SpaceXAI: Grok 4.3
medium- Biaya
- $0.009
- Waktu
- 19.0s
- Token
- 3,661 tok
Model teratas berdasarkan skor
Skor vs Total Biaya
Waktu respons (rata-rata)
Skor vs Waktu respons (rata-rata)
Total token output
Skor vs Total token output
Rincian Kategori
| Tugas agen | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 3.0 | 10.0 | 0.0% | 0 | 1.52s | 0 | 0 | 0 | |
| Grok 4.3 | 3.9 | 9.6 | 0.0% | 0 | 51.61s | 185,227 | 1,128 | 5,510 |
| Trik anti-AI | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 7.0 | 8.0 | 66.7% | 1 | 3.17s | 672 | 447 | 2,716 | |
| Grok 4.3 | 10.0 | 10.0 | 100.0% | 0 | 8.83s | 2,010 | 88 | 8,207 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 6.4 | 7.9 | 44.4% | 1 | 22.00s | 7,893 | 422 | 20,461 | |
| Grok 4.3 | 5.9 | 7.7 | 44.4% | 1 | 41.23s | 8,340 | 1,028 | 31,226 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 7.3 | 5.8 | 83.3% | 1 | 106.70s | 78,458 | 6,956 | 60,306 | |
| Grok 4.3 | 6.5 | 10.0 | 50.0% | 0 | 55.07s | 108,468 | 11,992 | 21,601 |
| Parsing dan ekstraksi data | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 10.0 | 10.0 | 100.0% | 0 | 4.13s | 7,776 | 278 | 1,960 | |
| Grok 4.3 | 10.0 | 10.0 | 100.0% | 0 | 18.97s | 7,761 | 180 | 9,546 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 2.9 | 4.4 | 22.2% | 2 | 44.66s | 780 | 33 | 43,896 | |
| Grok 4.3 | 3.5 | 4.4 | 33.3% | 2 | 158.01s | 1,977 | 14 | 95,783 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 5.1 | 10.0 | 0.0% | 0 | 3.27s | 516 | 139 | 647 | |
| Grok 4.3 | 5.4 | 2.5 | 66.7% | 1 | 24.70s | 825 | 70 | 5,020 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 9.9 | 10.0 | 100.0% | 0 | 2.67s | 699 | 84 | 976 | |
| Grok 4.3 | 9.8 | 10.0 | 100.0% | 0 | 18.58s | 1,362 | 57 | 8,713 |
| Pemecahan teka-teki | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 8.2 | 7.2 | 88.9% | 1 | 3.38s | 696 | 428 | 1,936 | |
| Grok 4.3 | 5.9 | 7.2 | 55.6% | 1 | 22.52s | 1,689 | 128 | 14,468 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 10.0 | 10.0 | 100.0% | 0 | 28.04s | 8,391 | 268 | 896 | |
| Grok 4.3 | 10.0 | 10.0 | 100.0% | 0 | 17.66s | 7,263 | 168 | 4,615 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 3.0 | 10.0 | 0.0% | 0 | 5.22s | 204 | 16 | 1,494 | |
| Grok 4.3 | 3.0 | 10.0 | 0.0% | 0 | 44.47s | 549 | 14 | 12,986 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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