- Peringkat
- #198
- Total token output
- 144,359
- Waktu respons (rata-rata)
- 21.21s
- Total Biaya
- $0.506
KAT-Coder-Pro V2.5 (high) vs GLM 5.2
Skor rata-rata hampir imbang di 6.5 vs 6.5. GLM 5.2 memiliki biaya benchmark lebih rendah di $0.161 vs $0.506. GLM 5.2 lebih cepat di 11.51s vs 21.21s, dengan tingkat keberhasilan 60.9% vs 62.3%.
Model yang Dibandingkan
- Peringkat
- #197
- Total token output
- 19,230
- Waktu respons (rata-rata)
- 11.51s
- Total Biaya
- $0.161
Model yang direkomendasikan
GLM 5.2
It has the best score here (6.5), while costing about 3.2x less than KAT-Coder-Pro V2.5 (high).
Perbandingan terperinci
| Metrik | KAT-Coder-Pro V2.5 KAT-Coder-Pro V2.5 high | GLM 5.2 GLM 5.2 none |
|---|---|---|
| Skor | 6.5 | 6.5 |
| Peringkat | #198 | #197 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 7.9 | 9.0 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 60.9% | 62.3% |
| Tes tidak stabil | 6 | 3 |
| Total Run | 69 | 69 |
| Biaya per hasil | 4.599 | 1.825 |
| Total Biaya | $0.506 | $0.161 |
| Harga input | $0.740 / 1M | $0.325 / 1M |
| Harga output | $2.960 / 1M | $3.990 / 1M |
| Total token input | 106,085 | 257,698 |
| Token output | 9,071 | 19,230 |
| Token penalaran | 135,288 | 0 |
| Waktu respons (rata-rata) | 21.21s | 11.51s |
| Waktu respons (maks) | 199.97s | 79.65s |
| Waktu respons (total) | 487.83s | 264.72s |
| Parameter | ~700B total (~72B aktif) | 744B total (40B aktif) |
| Ketersediaan | Tertutup | Sumber terbuka |
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
#197 GLM 5.2
none- Biaya
- $0.033
- Waktu
- 87.7s
- Token
- 7,455 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 | |
| GLM 5.2 | 5.2 | 3.2 | 33.3% | 1 | 52.34s | 145,240 | 4,886 | 0 |
| 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 | |
| GLM 5.2 | 8.3 | 10.0 | 75.0% | 0 | 3.70s | 567 | 313 | 0 |
| 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 | |
| GLM 5.2 | 3.7 | 9.5 | 0.0% | 0 | 7.55s | 7,263 | 1,958 | 0 |
| 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 | |
| GLM 5.2 | 6.9 | 5.9 | 66.7% | 1 | 50.17s | 88,074 | 11,016 | 0 |
| 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 | |
| GLM 5.2 | 10.0 | 10.0 | 100.0% | 0 | 7.17s | 7,113 | 204 | 0 |
| 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 | |
| GLM 5.2 | 7.7 | 10.0 | 66.7% | 0 | 6.35s | 705 | 27 | 0 |
| 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 | |
| GLM 5.2 | 6.1 | 3.1 | 66.7% | 1 | 4.42s | 480 | 82 | 0 |
| 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 | |
| GLM 5.2 | 9.8 | 10.0 | 100.0% | 0 | 3.84s | 642 | 66 | 0 |
| 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 | |
| GLM 5.2 | 7.7 | 10.0 | 66.7% | 0 | 3.31s | 618 | 265 | 0 |
| 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 | |
| GLM 5.2 | 10.0 | 10.0 | 100.0% | 0 | 15.76s | 6,807 | 400 | 0 |
| 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 | |
| GLM 5.2 | 3.0 | 10.0 | 0.0% | 0 | 3.41s | 189 | 13 | 0 |
Perbandingan Cepat
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