- Peringkat
- #232
- Total token output
- 1,033,971
- Waktu respons (rata-rata)
- 84.01s
- Total Biaya
- $0.820
Trinity Large Thinking (medium) vs DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 unggul dalam skor rata-rata dengan 6.2 vs 6.1. DeepSeek V4 Flash 0731 memiliki biaya benchmark lebih rendah di $0.055 vs $0.820. DeepSeek V4 Flash 0731 lebih cepat di 27.42s vs 84.01s, dengan tingkat keberhasilan 49.3% vs 30.4%.
Model yang Dibandingkan
- Peringkat
- #228
- Total token output
- 39,789
- Waktu respons (rata-rata)
- 27.42s
- Total Biaya
- $0.055
Model yang direkomendasikan
DeepSeek V4 Flash 0731
It has the best score here (6.2), while costing about 15.1x less than Trinity Large Thinking (medium).
Perbandingan terperinci
| Metrik | Trinity Large Thinking Trinity Large Thinking medium | DeepSeek V4 Flash 0731 DeepSeek V4 Flash 0731 none |
|---|---|---|
| Skor | 6.1 | 6.2 |
| Peringkat | #232 | #228 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 7.7 | 8.7 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 49.3% | 30.4% |
| Tes tidak stabil | 7 | 4 |
| Total Run | 69 | 69 |
| Biaya per hasil | 10.772 | 0.826 |
| Total Biaya | $0.820 | $0.055 |
| Harga input | $0.250 / 1M | $0.010 / 1M |
| Harga output | $0.800 / 1M | $1.280 / 1M |
| Total token input | 319,352 | 349,876 |
| Token output | 158,447 | 39,789 |
| Token penalaran | 875,524 | 0 |
| Waktu respons (rata-rata) | 84.01s | 27.42s |
| Waktu respons (maks) | 525.14s | 387.15s |
| Waktu respons (total) | 1932.24s | 630.70s |
| Parameter | 398B total (13B aktif) | 284B total (13B aktif) |
| Ketersediaan | Bobot tersedia | Tertutup |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#232 Trinity Large Thinking
medium- Biaya
- $0.016
- Waktu
- 75.9s
- Token
- 19,401 tok
#228 DeepSeek V4 Flash 0731
none- Biaya
- $0.004
- Waktu
- 198.4s
- Token
- 14,316 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 | 6.1 | 3.1 | 66.7% | 1 | 52.50s | 200,866 | 2,281 | 14,905 | |
| DeepSeek V4 Flash 0731 | 10.0 | 10.0 | 100.0% | 0 | 174.89s | 255,310 | 14,363 | 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 | 6.8 | 9.8 | 50.0% | 0 | 5.11s | 663 | 1,531 | 6,078 | |
| DeepSeek V4 Flash 0731 | 3.4 | 8.3 | 8.3% | 1 | 4.19s | 540 | 801 | 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 | 7.5 | 10.0 | 66.7% | 0 | 179.02s | 7,248 | 7,413 | 351,155 | |
| DeepSeek V4 Flash 0731 | 4.3 | 10.0 | 0.0% | 0 | 1.72s | 7,275 | 505 | 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 | 2.9 | 6.0 | 16.7% | 1 | 382.70s | 93,292 | 35,814 | 269,745 | |
| DeepSeek V4 Flash 0731 | 3.7 | 1.8 | 50.0% | 2 | 202.44s | 65,531 | 22,822 | 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 | 6.3 | 5.8 | 66.7% | 1 | 16.38s | 6,906 | 475 | 11,153 | |
| DeepSeek V4 Flash 0731 | 10.0 | 10.0 | 100.0% | 0 | 2.37s | 7,290 | 199 | 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 | 5.3 | 7.2 | 44.4% | 1 | 124.17s | 756 | 99,334 | 172,018 | |
| DeepSeek V4 Flash 0731 | 5.3 | 10.0 | 33.3% | 0 | 1.17s | 675 | 26 | 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 | 32.22s | 501 | 7,035 | 7,774 | |
| DeepSeek V4 Flash 0731 | 4.4 | 9.9 | 0.0% | 0 | 3.22s | 471 | 153 | 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 | 6.9 | 16.7% | 1 | 3.99s | 684 | 77 | 3,798 | |
| DeepSeek V4 Flash 0731 | 5.0 | 6.8 | 33.3% | 1 | 1.42s | 627 | 69 | 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 | 5.2 | 5.4 | 44.5% | 2 | 2.90s | 678 | 2,508 | 3,231 | |
| DeepSeek V4 Flash 0731 | 3.2 | 9.9 | 0.0% | 0 | 2.74s | 594 | 302 | 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 | 5.26s | 7,551 | 299 | 1,372 | |
| DeepSeek V4 Flash 0731 | 9.5 | 10.0 | 100.0% | 0 | 4.61s | 11,380 | 536 | 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 | 97.44s | 207 | 1,680 | 34,295 | |
| DeepSeek V4 Flash 0731 | 3.0 | 10.0 | 0.0% | 0 | 1.85s | 183 | 13 | 0 |
Perbandingan Cepat
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