- Peringkat
- #222
- Total token output
- 842,200
- Waktu respons (rata-rata)
- 95.16s
- Total Biaya
- $0.700
Trinity Large Thinking (low) vs DeepSeek V4 Flash 0423
Skor rata-rata hampir imbang di 6.3 vs 6.3. DeepSeek V4 Flash 0423 memiliki biaya benchmark lebih rendah di $0.050 vs $0.700. DeepSeek V4 Flash 0423 lebih cepat di 38.64s vs 95.16s, dengan tingkat keberhasilan 47.8% vs 30.4%.
Model yang Dibandingkan
- Peringkat
- #223
- Total token output
- 115,591
- Waktu respons (rata-rata)
- 38.64s
- Total Biaya
- $0.050
Model yang direkomendasikan
DeepSeek V4 Flash 0423
It has the best score here (6.3), while costing about 14.0x less than Trinity Large Thinking (low).
Perbandingan terperinci
| Metrik | Trinity Large Thinking Trinity Large Thinking low | DeepSeek V4 Flash 0423 DeepSeek V4 Flash 0423 none |
|---|---|---|
| Skor | 6.3 | 6.3 |
| Peringkat | #222 | #223 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 8.1 | 8.6 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 47.8% | 30.4% |
| Tes tidak stabil | 6 | 4 |
| Total Run | 69 | 69 |
| Biaya per hasil | 9.163 | 1.220 |
| Total Biaya | $0.700 | $0.050 |
| Harga input | $0.250 / 1M | $0.079 / 1M |
| Harga output | $0.800 / 1M | $0.158 / 1M |
| Total token input | 347,980 | 403,455 |
| Token output | 121,898 | 115,591 |
| Token penalaran | 720,302 | 0 |
| Waktu respons (rata-rata) | 95.16s | 38.64s |
| Waktu respons (maks) | 540.96s | 247.27s |
| Waktu respons (total) | 2188.74s | 888.69s |
| Parameter | 398B total (13B aktif) | 284B total (13B 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
#223 DeepSeek V4 Flash 0423
none- Biaya
- $0.004
- Waktu
- 157.6s
- Token
- 11,297 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 V4 Flash 0423 | 10.0 | 10.0 | 100.0% | 0 | 92.87s | 163,225 | 14,865 | 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 | |
| DeepSeek V4 Flash 0423 | 3.0 | 10.0 | 0.0% | 0 | 20.18s | 540 | 174 | 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 | |
| DeepSeek V4 Flash 0423 | 4.2 | 7.4 | 11.1% | 1 | 17.13s | 7,279 | 9,717 | 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 | |
| DeepSeek V4 Flash 0423 | 4.6 | 1.8 | 66.7% | 2 | 179.61s | 214,492 | 89,681 | 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 | |
| DeepSeek V4 Flash 0423 | 10.0 | 10.0 | 100.0% | 0 | 23.79s | 7,290 | 195 | 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 | |
| DeepSeek V4 Flash 0423 | 3.0 | 10.0 | 0.0% | 0 | 15.31s | 675 | 17 | 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 | |
| DeepSeek V4 Flash 0423 | 4.2 | 9.9 | 0.0% | 0 | 23.74s | 471 | 67 | 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 | |
| DeepSeek V4 Flash 0423 | 6.5 | 10.0 | 50.0% | 0 | 17.54s | 627 | 321 | 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 | |
| DeepSeek V4 Flash 0423 | 3.1 | 7.3 | 11.1% | 1 | 23.72s | 594 | 207 | 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 | |
| DeepSeek V4 Flash 0423 | 10.0 | 10.0 | 100.0% | 0 | 77.93s | 8,079 | 327 | 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 | |
| DeepSeek V4 Flash 0423 | 3.0 | 10.0 | 0.0% | 0 | 3.07s | 183 | 20 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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