- Peringkat
- #222
- Total token output
- 842,200
- Waktu respons (rata-rata)
- 95.16s
- Total Biaya
- $0.700
Trinity Large Thinking (low) vs KAT-Coder-Pro V2.5
Trinity Large Thinking (low) unggul dalam skor rata-rata dengan 6.3 vs 6.1. KAT-Coder-Pro V2.5 memiliki biaya benchmark lebih rendah di $0.487 vs $0.700. KAT-Coder-Pro V2.5 lebih cepat di 24.96s vs 95.16s, dengan tingkat keberhasilan 47.8% vs 68.1%.
Model yang Dibandingkan
- Peringkat
- #236
- Total token output
- 139,572
- Waktu respons (rata-rata)
- 24.96s
- Total Biaya
- $0.487
Model yang direkomendasikan
KAT-Coder-Pro V2.5
Its score stays close to the best score here (6.1 vs 6.3), while responding about 3.8x faster than Trinity Large Thinking (low).
Perbandingan terperinci
| Metrik | Trinity Large Thinking Trinity Large Thinking low | KAT-Coder-Pro V2.5 KAT-Coder-Pro V2.5 none |
|---|---|---|
| Skor | 6.3 | 6.1 |
| Peringkat | #222 | #236 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 8.1 | 7.1 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 47.8% | 68.1% |
| Tes tidak stabil | 6 | 8 |
| Total Run | 69 | 69 |
| Biaya per hasil | 9.163 | 4.419 |
| Total Biaya | $0.700 | $0.487 |
| Harga input | $0.250 / 1M | $0.740 / 1M |
| Harga output | $0.800 / 1M | $2.960 / 1M |
| Total token input | 347,980 | 98,508 |
| Token output | 121,898 | 139,572 |
| Token penalaran | 720,302 | 0 |
| Waktu respons (rata-rata) | 95.16s | 24.96s |
| Waktu respons (maks) | 540.96s | 335.41s |
| Waktu respons (total) | 2188.74s | 574.12s |
| Parameter | 398B total (13B aktif) | ~700B total (~72B aktif) |
| Ketersediaan | Bobot tersedia | Tertutup |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#222 Trinity Large Thinking
low- Biaya
- $0.021
- Waktu
- 173.2s
- Token
- 24,586 tok
#236 KAT-Coder-Pro V2.5
none- Biaya
- $0.010
- Waktu
- 29.0s
- Token
- 3,439 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 |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 7.4 | 3.8 | 66.7% | 1 | 63.23s | 225,126 | 2,088 | 21,753 | |
| KAT-Coder-Pro V2.5 | 3.0 | 10.0 | 0.0% | 0 | 1.90s | 0 | 0 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 8.3 | 10.0 | 75.0% | 0 | 5.70s | 663 | 1,451 | 5,431 | |
| KAT-Coder-Pro V2.5 | 8.7 | 7.9 | 91.7% | 1 | 4.58s | 672 | 3,998 | 0 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 5.3 | 10.0 | 33.3% | 0 | 344.45s | 5,441 | 27,039 | 217,241 | |
| KAT-Coder-Pro V2.5 | 6.1 | 4.7 | 66.7% | 2 | 22.52s | 7,893 | 22,440 | 0 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 5.2 | 6.0 | 33.3% | 1 | 291.02s | 99,467 | 9,848 | 234,039 | |
| KAT-Coder-Pro V2.5 | 4.1 | 5.0 | 33.3% | 1 | 183.08s | 70,881 | 77,889 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 7.3 | 5.8 | 83.3% | 1 | 14.30s | 6,906 | 459 | 9,451 | |
| KAT-Coder-Pro V2.5 | 10.0 | 10.0 | 100.0% | 0 | 5.07s | 7,776 | 2,361 | 0 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 2.9 | 7.2 | 11.1% | 1 | 140.26s | 756 | 72,049 | 217,598 | |
| KAT-Coder-Pro V2.5 | 4.1 | 4.4 | 44.5% | 2 | 24.90s | 780 | 24,683 | 0 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 10.0 | 10.0 | 100.0% | 0 | 12.65s | 501 | 5,138 | 5,695 | |
| KAT-Coder-Pro V2.5 | 4.8 | 3.2 | 33.3% | 1 | 5.16s | 516 | 1,067 | 0 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 4.4 | 6.8 | 16.7% | 1 | 4.07s | 684 | 45 | 3,710 | |
| KAT-Coder-Pro V2.5 | 9.8 | 10.0 | 100.0% | 0 | 2.61s | 699 | 1,084 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 6.3 | 7.9 | 44.4% | 1 | 3.28s | 678 | 2,625 | 3,077 | |
| KAT-Coder-Pro V2.5 | 8.2 | 7.2 | 88.9% | 1 | 3.03s | 696 | 1,929 | 0 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 10.0 | 10.0 | 100.0% | 0 | 5.19s | 7,551 | 299 | 1,430 | |
| KAT-Coder-Pro V2.5 | 10.0 | 10.0 | 100.0% | 0 | 5.93s | 8,391 | 1,103 | 0 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 3.0 | 10.0 | 0.0% | 0 | 2.10s | 207 | 857 | 877 | |
| KAT-Coder-Pro V2.5 | 3.0 | 10.0 | 0.0% | 0 | 9.91s | 204 | 3,018 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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