- 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 5.3 (low)
Skor rata-rata hampir imbang di 6.5 vs 6.5. GLM 5.3 (low) memiliki biaya benchmark lebih rendah di $0.473 vs $0.506. GLM 5.3 (low) lebih cepat di 15.28s vs 21.21s, dengan tingkat keberhasilan 60.9% vs 63.8%.
Model yang Dibandingkan
- Peringkat
- #195
- Total token output
- 28,602
- Waktu respons (rata-rata)
- 15.28s
- Total Biaya
- $0.473
Model yang direkomendasikan
GLM 5.3 (low)
It has the strongest score in this comparison (6.5) and the best overall balance of cost and response time across all 2 models.
Perbandingan terperinci
| Metrik | KAT-Coder-Pro V2.5 KAT-Coder-Pro V2.5 high | GLM 5.3 GLM 5.3 low |
|---|---|---|
| Skor | 6.5 | 6.5 |
| Peringkat | #198 | #195 |
| 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 | 3.936 |
| Total Biaya | $0.506 | $0.473 |
| Harga input | $0.740 / 1M | $1.400 / 1M |
| Harga output | $2.960 / 1M | $4.400 / 1M |
| Total token input | 106,085 | 247,436 |
| Token output | 9,071 | 11,005 |
| Token penalaran | 135,288 | 17,597 |
| Waktu respons (rata-rata) | 21.21s | 15.28s |
| Waktu respons (maks) | 199.97s | 83.60s |
| Waktu respons (total) | 487.83s | 351.49s |
| Parameter | ~700B total (~72B aktif) | 744B total (40B 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
#195 GLM 5.3
low- Biaya
- $0.007
- Waktu
- 28.4s
- Token
- 1,599 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 5.3 | 5.2 | 3.2 | 33.3% | 1 | 51.27s | 142,447 | 2,473 | 1,321 |
| 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 5.3 | 6.9 | 7.9 | 66.7% | 1 | 4.16s | 639 | 266 | 249 |
| 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 5.3 | 6.2 | 6.9 | 55.6% | 1 | 21.02s | 7,317 | 368 | 6,764 |
| 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 5.3 | 3.8 | 5.8 | 33.3% | 1 | 53.02s | 80,209 | 6,729 | 5,209 |
| 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 5.3 | 10.0 | 10.0 | 100.0% | 0 | 3.42s | 7,149 | 210 | 56 |
| 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 5.3 | 5.3 | 10.0 | 33.3% | 0 | 19.23s | 759 | 35 | 3,384 |
| 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 5.3 | 4.1 | 2.7 | 33.3% | 1 | 4.70s | 498 | 163 | 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 5.3 | 10.0 | 10.0 | 100.0% | 0 | 3.40s | 678 | 72 | 81 |
| 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 5.3 | 10.0 | 10.0 | 100.0% | 0 | 4.20s | 672 | 389 | 225 |
| 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 5.3 | 10.0 | 10.0 | 100.0% | 0 | 18.45s | 6,861 | 231 | 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 5.3 | 3.0 | 10.0 | 0.0% | 0 | 7.42s | 207 | 69 | 308 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
KAT-Coder-Pro V2.5highvsGLM 5.2noneKAT-Coder-Pro V2.5highvsGrok 4.3mediumKAT-Coder-Pro V2.5highvsGLM 5.1noneMercury 2.5highvsGLM 5.3lowKAT-Coder-Pro V2.5highvsLaguna XS 2.1mediumTersedia gratisMercury 2.5 PreviewhighvsGLM 5.3lowKAT-Coder-Pro V2.5highvsQwen3.5-122B-A10BnoneGrok 4.3mediumvsGLM 5.3lowGemini 3 Flash PreviewnonevsKAT-Coder-Pro V2.5highKAT-Coder-Pro V2.5highvsQwen3.5 Plus 2026-02-15noneQwen3.6 35B A3BmediumvsGLM 5.3lowLaguna XS 2.1mediumTersedia gratisvsGLM 5.3low