- Peringkat
- #208
- Total token output
- 818,359
- Waktu respons (rata-rata)
- 96.61s
- Total Biaya
- $0.625
Trinity Large Thinking (low) vs Qwen3.5-Flash
Trinity Large Thinking (low) unggul dalam skor rata-rata dengan 6.0 vs 6.0. Qwen3.5-Flash memiliki biaya benchmark lebih rendah di $0.073 vs $0.625. Qwen3.5-Flash lebih cepat di 25.28s vs 96.61s, dengan tingkat keberhasilan 47.0% vs 34.9%.
Model yang Dibandingkan
- Peringkat
- #214
- Total token output
- 209,201
- Waktu respons (rata-rata)
- 25.28s
- Total Biaya
- $0.073
Model yang direkomendasikan
Qwen3.5-Flash
Its score stays close to the best score here (6.0 vs 6.0), while costing about 8.6x less than Trinity Large Thinking (low).
Perbandingan terperinci
| Metrik | Trinity Large Thinking Trinity Large Thinking low | Qwen3.5-Flash Qwen3.5-Flash none |
|---|---|---|
| Skor | 6.0 | 6.0 |
| Peringkat | #208 | #214 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 8.3 | 9.3 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 47.0% | 34.9% |
| Tes tidak stabil | 5 | 2 |
| Total Run | 66 | 66 |
| Biaya per hasil | 8.221 | 1.066 |
| Total Biaya | $0.625 | $0.073 |
| Harga input | $0.250 / 1M | $0.065 / 1M |
| Harga output | $0.800 / 1M | $0.260 / 1M |
| Total token input | 122,854 | 282,356 |
| Token output | 119,810 | 209,201 |
| Token penalaran | 698,549 | 0 |
| Waktu respons (rata-rata) | 96.61s | 25.28s |
| Waktu respons (maks) | 540.96s | 480.96s |
| Waktu respons (total) | 2125.51s | 556.14s |
| 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.
#208 Trinity Large Thinking
low- Biaya
- $0.021
- Waktu
- 173.2s
- Token
- 24,586 tok
#214 Qwen3.5-Flash
none- Biaya
- $0.003
- Waktu
- 47.4s
- Token
- 7,799 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 | 8.3 | 10.0 | 75.0% | 0 | 5.70s | 663 | 1,451 | 5,431 | |
| Qwen3.5-Flash | 3.5 | 8.3 | 8.3% | 1 | 1.32s | 696 | 690 | 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 | |
| Qwen3.5-Flash | 5.5 | 10.0 | 33.3% | 0 | 850ms | 7,913 | 519 | 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 | |
| Qwen3.5-Flash | 2.9 | 5.8 | 16.7% | 1 | 243.59s | 254,787 | 206,719 | 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 | |
| Qwen3.5-Flash | 10.0 | 10.0 | 100.0% | 0 | 1.57s | 7,794 | 243 | 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 | |
| Qwen3.5-Flash | 5.3 | 10.0 | 33.3% | 0 | 873ms | 798 | 15 | 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 | |
| Qwen3.5-Flash | 10.0 | 10.0 | 100.0% | 0 | 803ms | 522 | 100 | 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 | |
| Qwen3.5-Flash | 6.3 | 10.0 | 50.0% | 0 | 8.81s | 711 | 63 | 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 | |
| Qwen3.5-Flash | 3.1 | 10.0 | 0.0% | 0 | 10.89s | 714 | 579 | 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 | |
| Qwen3.5-Flash | 10.0 | 10.0 | 100.0% | 0 | 3.67s | 8,211 | 264 | 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 | |
| Qwen3.5-Flash | 3.0 | 10.0 | 0.0% | 0 | 588ms | 210 | 9 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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