- Peringkat
- #178
- Total token output
- 1,016,785
- Waktu respons (rata-rata)
- 85.44s
- Total Biaya
- $0.798
Trinity Large Thinking (medium) vs Qwen3.5-Flash (medium)
Skor rata-rata hampir imbang di 6.1 vs 6.1. Qwen3.5-Flash (medium) memiliki biaya benchmark lebih rendah di $0.142 vs $0.798. Qwen3.5-Flash (medium) lebih cepat di 84.44s vs 85.44s, dengan tingkat keberhasilan 48.5% vs 65.2%.
- Peringkat
- #176
- Total token output
- 512,846
- Waktu respons (rata-rata)
- 84.44s
- Total Biaya
- $0.142
Model yang direkomendasikan
Qwen3.5-Flash (medium)
It has the best score here (6.1), while costing about 5.7x less than Trinity Large Thinking (medium).
Perbandingan terperinci
| Metrik | Trinity Large Thinking Trinity Large Thinking medium | Qwen3.5-Flash Qwen3.5-Flash medium |
|---|---|---|
| Skor | 6.1 | 6.1 |
| Peringkat | #178 | #176 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 7.9 | 7.8 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 48.5% | 65.2% |
| Tes tidak stabil | 6 | 6 |
| Total Run | 66 | 66 |
| Biaya per hasil | 9.972 | 1.491 |
| Total Biaya | $0.798 | $0.142 |
| Harga input | $0.220 / 1M | $0.065 / 1M |
| Harga output | $0.850 / 1M | $0.260 / 1M |
| Total token input | 118,486 | 118,508 |
| Token output | 156,166 | 35,457 |
| Token penalaran | 860,619 | 477,389 |
| Waktu respons (rata-rata) | 85.44s | 84.44s |
| Waktu respons (maks) | 525.14s | 515.38s |
| Waktu respons (total) | 1879.75s | 1773.20s |
| Parameter | 398B total (13B aktif) | ~35B total (~3B aktif) |
| Ketersediaan | Bobot tersedia | Tertutup |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#178 Trinity Large Thinking
medium- Biaya
- $0.016
- Waktu
- 75.9s
- Token
- 19,401 tok
#176 Qwen3.5-Flash
medium- Biaya
- $0.002
- Waktu
- 25.8s
- Token
- 4,294 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 |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 6.8 | 9.8 | 50.0% | 0 | 5.11s | 663 | 1,531 | 6,078 | |
| Qwen3.5-Flash | 10.0 | 10.0 | 100.0% | 0 | 59.11s | 672 | 383 | 32,992 |
| 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 | 7.5 | 10.0 | 66.7% | 0 | 179.02s | 7,248 | 7,413 | 351,155 | |
| Qwen3.5-Flash | 3.7 | 7.2 | 22.2% | 1 | 58.87s | 6,685 | 302 | 90,081 |
| 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 | 2.9 | 6.0 | 16.7% | 1 | 382.70s | 93,292 | 35,814 | 269,745 | |
| Qwen3.5-Flash | 6.4 | 5.8 | 66.7% | 1 | 266.58s | 94,507 | 10,679 | 204,282 |
| 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 | 6.3 | 5.8 | 66.7% | 1 | 16.38s | 6,906 | 475 | 11,153 | |
| Qwen3.5-Flash | 7.3 | 5.9 | 83.3% | 1 | 56.99s | 6,061 | 235 | 16,237 |
| 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 | 5.3 | 7.2 | 44.4% | 1 | 124.17s | 756 | 99,334 | 172,018 | |
| Qwen3.5-Flash | 2.9 | 7.2 | 11.1% | 1 | 143.82s | 590 | 23,231 | 30,394 |
| 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 | 32.22s | 501 | 7,035 | 7,774 | |
| Qwen3.5-Flash | 6.1 | 3.1 | 66.7% | 1 | 40.05s | 516 | 99 | 38,486 |
| 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 | 6.9 | 16.7% | 1 | 3.99s | 684 | 77 | 3,798 | |
| Qwen3.5-Flash | 10.0 | 10.0 | 100.0% | 0 | 63.49s | 699 | 98 | 14,139 |
| 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 | 5.2 | 5.4 | 44.5% | 2 | 2.90s | 678 | 2,508 | 3,231 | |
| Qwen3.5-Flash | 8.2 | 7.2 | 88.9% | 1 | 27.61s | 381 | 89 | 12,457 |
| 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 | 5.26s | 7,551 | 299 | 1,372 | |
| Qwen3.5-Flash | 10.0 | 10.0 | 100.0% | 0 | 10.33s | 8,193 | 309 | 1,284 |
| 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 | 97.44s | 207 | 1,680 | 34,295 | |
| Qwen3.5-Flash | 3.0 | 10.0 | 0.0% | 0 | 48.98s | 204 | 32 | 37,037 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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