- Peringkat
- #135
- Total token output
- 35,547
- Waktu respons (rata-rata)
- 11.71s
- Total Biaya
- $0.145
DeepSeek V4 Pro vs KAT-Coder-Pro V2.5 (medium)
KAT-Coder-Pro V2.5 (medium) unggul dalam skor rata-rata dengan 6.9 vs 6.8. DeepSeek V4 Pro memiliki biaya benchmark lebih rendah di $0.145 vs $0.478. DeepSeek V4 Pro lebih cepat di 11.71s vs 24.87s, dengan tingkat keberhasilan 47.0% vs 65.2%.
- Peringkat
- #126
- Total token output
- 139,375
- Waktu respons (rata-rata)
- 24.87s
- Total Biaya
- $0.478
Model yang direkomendasikan
DeepSeek V4 Pro
Its score stays close to the best score here (6.8 vs 6.9), while costing about 3.3x less than KAT-Coder-Pro V2.5 (medium).
Perbandingan terperinci
| Metrik | DeepSeek V4 Pro DeepSeek V4 Pro none | KAT-Coder-Pro V2.5 KAT-Coder-Pro V2.5 medium |
|---|---|---|
| Skor | 6.8 | 6.9 |
| Peringkat | #135 | #126 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 8.6 | 7.0 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 47.0% | 65.2% |
| Tes tidak stabil | 4 | 8 |
| Total Run | 66 | 66 |
| Biaya per hasil | 1.061 | 4.342 |
| Total Biaya | $0.145 | $0.478 |
| Harga input | $0.661 / 1M | $0.740 / 1M |
| Harga output | $1.322 / 1M | $2.960 / 1M |
| Total token input | 148,078 | 87,916 |
| Token output | 35,547 | 7,213 |
| Token penalaran | 0 | 132,162 |
| Waktu respons (rata-rata) | 11.71s | 24.87s |
| Waktu respons (maks) | 119.44s | 257.00s |
| Waktu respons (total) | 257.67s | 547.14s |
| Parameter | 1.6T total (49B aktif) | ~700B total (~72B aktif) |
| Ketersediaan | Sumber terbuka | Tertutup |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#135 DeepSeek V4 Pro
none
SVG tidak valid
- Biaya
- $0.000
- Waktu
- 300.0s
- Token
- 0 tok
#126 KAT-Coder-Pro V2.5
medium- Biaya
- $0.009
- Waktu
- 25.6s
- Token
- 2,939 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
| Trik anti-AI | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 3.2 | 6.1 | 16.7% | 2 | 4.02s | 540 | 1,168 | 0 | |
| KAT-Coder-Pro V2.5 | 8.2 | 7.9 | 83.3% | 1 | 3.90s | 672 | 208 | 3,868 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 5.6 | 10.0 | 33.3% | 0 | 13.38s | 7,275 | 5,500 | 0 | |
| KAT-Coder-Pro V2.5 | 7.8 | 10.0 | 66.7% | 0 | 33.10s | 7,893 | 416 | 33,658 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 7.9 | 6.9 | 66.7% | 1 | 71.59s | 122,040 | 26,362 | 0 | |
| KAT-Coder-Pro V2.5 | 6.4 | 5.8 | 66.7% | 1 | 135.75s | 60,289 | 5,478 | 51,591 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 10.0 | 10.0 | 100.0% | 0 | 4.61s | 7,568 | 200 | 0 | |
| KAT-Coder-Pro V2.5 | 7.3 | 5.9 | 83.3% | 1 | 4.70s | 7,776 | 275 | 2,122 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 3.0 | 10.0 | 0.0% | 0 | 4.91s | 675 | 20 | 0 | |
| KAT-Coder-Pro V2.5 | 2.9 | 4.4 | 22.2% | 2 | 35.11s | 780 | 36 | 33,495 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 5.0 | 10.0 | 0.0% | 0 | 2.05s | 471 | 126 | 0 | |
| KAT-Coder-Pro V2.5 | 4.7 | 3.1 | 33.3% | 1 | 2.35s | 516 | 92 | 381 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 6.3 | 5.8 | 66.7% | 1 | 4.12s | 627 | 713 | 0 | |
| KAT-Coder-Pro V2.5 | 9.9 | 10.0 | 100.0% | 0 | 2.58s | 699 | 83 | 971 |
| Pemecahan teka-teki | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 10.0 | 10.0 | 100.0% | 0 | 3.61s | 594 | 442 | 0 | |
| KAT-Coder-Pro V2.5 | 5.9 | 4.5 | 66.7% | 2 | 3.20s | 696 | 325 | 1,867 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 10.0 | 10.0 | 100.0% | 0 | 7.40s | 8,105 | 328 | 0 | |
| KAT-Coder-Pro V2.5 | 10.0 | 10.0 | 100.0% | 0 | 19.02s | 8,391 | 282 | 1,010 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 3.0 | 10.0 | 0.0% | 0 | 5.76s | 183 | 688 | 0 | |
| KAT-Coder-Pro V2.5 | 3.0 | 10.0 | 0.0% | 0 | 9.87s | 204 | 18 | 3,199 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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