- Peringkat
- #222
- Total token output
- 842,200
- Waktu respons (rata-rata)
- 95.16s
- Total Biaya
- $0.700
Trinity Large Thinking (low) vs DeepSeek V3.2 (medium)
Skor rata-rata hampir imbang di 6.3 vs 6.3. DeepSeek V3.2 (medium) memiliki biaya benchmark lebih rendah di $0.145 vs $0.700. DeepSeek V3.2 (medium) lebih cepat di 70.08s vs 95.16s, dengan tingkat keberhasilan 47.8% vs 62.3%.
Model yang Dibandingkan
- Peringkat
- #221
- Total token output
- 143,160
- Waktu respons (rata-rata)
- 70.08s
- Total Biaya
- $0.145
Model yang direkomendasikan
DeepSeek V3.2 (medium)
It has the best score here (6.3), while costing about 4.8x less than Trinity Large Thinking (low).
Perbandingan terperinci
| Metrik | Trinity Large Thinking Trinity Large Thinking low | DeepSeek V3.2 DeepSeek V3.2 medium |
|---|---|---|
| Skor | 6.3 | 6.3 |
| Peringkat | #222 | #221 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 8.1 | 7.5 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 47.8% | 62.3% |
| Tes tidak stabil | 6 | 7 |
| Total Run | 69 | 69 |
| Biaya per hasil | 9.163 | 1.250 |
| Total Biaya | $0.700 | $0.145 |
| Harga input | $0.250 / 1M | $0.280 / 1M |
| Harga output | $0.800 / 1M | $0.420 / 1M |
| Total token input | 347,980 | 306,662 |
| Token output | 121,898 | 17,819 |
| Token penalaran | 720,302 | 125,341 |
| Waktu respons (rata-rata) | 95.16s | 70.08s |
| Waktu respons (maks) | 540.96s | 376.10s |
| Waktu respons (total) | 2188.74s | 1611.86s |
| Parameter | 398B total (13B aktif) | 671B total (37B aktif) |
| Ketersediaan | Bobot tersedia | Sumber terbuka |
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
#221 DeepSeek V3.2
medium- Biaya
- $0.001
- Waktu
- 53.6s
- Token
- 1,932 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 | |
| DeepSeek V3.2 | 3.0 | 10.0 | 0.0% | 0 | 106.33s | 205,606 | 5,987 | 8,386 |
| 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 | |
| DeepSeek V3.2 | 8.2 | 7.9 | 83.3% | 1 | 24.23s | 448 | 3,247 | 6,953 |
| 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 | |
| DeepSeek V3.2 | 6.0 | 7.2 | 55.6% | 1 | 248.68s | 5,717 | 649 | 52,014 |
| 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 | |
| DeepSeek V3.2 | 7.3 | 5.8 | 83.3% | 1 | 79.92s | 76,997 | 5,219 | 24,229 |
| 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 | |
| DeepSeek V3.2 | 10.0 | 10.0 | 100.0% | 0 | 36.09s | 7,388 | 207 | 7,693 |
| 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 | |
| DeepSeek V3.2 | 2.9 | 4.4 | 22.2% | 2 | 22.94s | 481 | 19 | 6,779 |
| 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 | |
| DeepSeek V3.2 | 3.4 | 2.5 | 33.3% | 1 | 58.29s | 314 | 49 | 2,189 |
| 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 | |
| DeepSeek V3.2 | 10.0 | 10.0 | 100.0% | 0 | 35.78s | 627 | 1,397 | 2,845 |
| 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 | |
| DeepSeek V3.2 | 7.0 | 7.2 | 55.6% | 1 | 37.69s | 594 | 518 | 6,375 |
| 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 | |
| DeepSeek V3.2 | 10.0 | 10.0 | 100.0% | 0 | 34.81s | 8,307 | 507 | 859 |
| 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 | |
| DeepSeek V3.2 | 3.0 | 10.0 | 0.0% | 0 | 83.99s | 183 | 20 | 7,019 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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