- Peringkat
- #235
- Total token output
- 139,375
- Waktu respons (rata-rata)
- 23.94s
- Total Biaya
- $0.669
KAT-Coder-Pro V2.5 (medium) vs Mistral Large 4 (medium)
KAT-Coder-Pro V2.5 (medium) unggul dalam skor rata-rata dengan 6.2 vs 6.2. KAT-Coder-Pro V2.5 (medium) memiliki biaya benchmark lebih rendah di $0.669 vs $1.456. KAT-Coder-Pro V2.5 (medium) lebih cepat di 23.94s vs 265.03s, dengan tingkat keberhasilan 62.3% vs 55.1%.
Model yang Dibandingkan
- Peringkat
- #240
- Total token output
- 627,233
- Waktu respons (rata-rata)
- 265.03s
- Total Biaya
- $1.456
Model yang direkomendasikan
KAT-Coder-Pro V2.5 (medium)
It has the best score here (6.2), while costing about 2.2x less than Mistral Large 4 (medium).
Perbandingan terperinci
| Metrik | KAT-Coder-Pro V2.5 KAT-Coder-Pro V2.5 medium | Mistral Large 4 Mistral Large 4 medium |
|---|---|---|
| Skor | 6.2 | 6.2 |
| Peringkat | #235 | #240 |
| Keandalan | 10.0 | 9.2 |
| Konsistensi | 7.2 | 7.6 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 62.3% | 55.1% |
| Tes tidak stabil | 8 | 7 |
| Total Run | 69 | 69 |
| Biaya per hasil | 4.342 | 16.168 |
| Total Biaya | $0.669 | $1.456 |
| Harga input | $0.740 / 1M | $0.680 / 1M |
| Harga output | $2.960 / 1M | $2.090 / 1M |
| Harga baca cache | $0.150 / 1M | $0.070 / 1M |
| Harga tulis cache | T/A | T/A |
| Total token input | 87,916 | 212,024 |
| Token output | 7,213 | 166,422 |
| Token penalaran | 132,162 | 562,095 |
| Waktu respons (rata-rata) | 23.94s | 265.03s |
| Waktu respons (maks) | 257.00s | 1760.20s |
| Waktu respons (total) | 550.52s | 6095.69s |
| Parameter | ~700B total (~72B aktif) | 1.05T total (49B aktif) |
| Ketersediaan | Tertutup | Tertutup |
Harga cache berlaku untuk token input. Pembacaan memakai kembali prompt tersimpan; penulisan menyimpannya dan dapat menambah biaya. Token output menggunakan harga output.
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#235 KAT-Coder-Pro V2.5
medium- Biaya
- $0.009
- Waktu
- 25.6s
- Token
- 2,939 tok
#240 Mistral Large 4
medium- Biaya
- $0.011
- Waktu
- 63.4s
- Token
- 5,291 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 | 3.38s | 0 | 0 | 0 | |
| Mistral Large 4 | 6.1 | 3.1 | 66.7% | 1 | 173.21s | 135,844 | 7,482 | 13,709 |
| 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 | 8.2 | 7.9 | 83.3% | 1 | 3.90s | 672 | 208 | 3,868 | |
| Mistral Large 4 | 8.3 | 10.0 | 75.0% | 0 | 15.73s | 705 | 1,087 | 7,308 |
| 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 | 7.8 | 10.0 | 66.7% | 0 | 33.10s | 7,893 | 416 | 33,658 | |
| Mistral Large 4 | 3.4 | 7.2 | 22.2% | 1 | 1201.87s | 7,189 | 33,530 | 303,140 |
| 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 | 6.4 | 5.8 | 66.7% | 1 | 135.75s | 60,289 | 5,478 | 51,591 | |
| Mistral Large 4 | 7.3 | 5.8 | 83.3% | 1 | 510.65s | 51,756 | 8,436 | 82,002 |
| 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 | 7.3 | 5.9 | 83.3% | 1 | 4.70s | 7,776 | 275 | 2,122 | |
| Mistral Large 4 | 10.0 | 10.0 | 100.0% | 0 | 25.95s | 7,314 | 1,046 | 7,861 |
| 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 | 35.11s | 780 | 36 | 33,495 | |
| Mistral Large 4 | 2.9 | 7.2 | 11.1% | 1 | 288.04s | 798 | 85,691 | 114,373 |
| 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 | 4.7 | 3.1 | 33.3% | 1 | 2.35s | 516 | 92 | 381 | |
| Mistral Large 4 | 3.5 | 2.2 | 33.3% | 1 | 39.33s | 516 | 4,704 | 4,909 |
| 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 | 2.58s | 699 | 83 | 971 | |
| Mistral Large 4 | 8.3 | 10.0 | 50.0% | 0 | 24.62s | 708 | 6,709 | 7,691 |
| 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 | 5.9 | 4.5 | 66.7% | 2 | 3.20s | 696 | 325 | 1,867 | |
| Mistral Large 4 | 6.1 | 4.7 | 66.7% | 2 | 41.40s | 717 | 8,254 | 10,519 |
| 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 | 19.02s | 8,391 | 282 | 1,010 | |
| Mistral Large 4 | 10.0 | 10.0 | 100.0% | 0 | 19.19s | 6,267 | 303 | 1,104 |
| 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 | 9.87s | 204 | 18 | 3,199 | |
| Mistral Large 4 | 3.0 | 10.0 | 0.0% | 0 | 84.68s | 210 | 9,180 | 9,479 |
Perbandingan Cepat
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