- Peringkat
- #230
- Total token output
- 2,169
- Waktu respons (rata-rata)
- 2.98s
- Total Biaya
- $0.008
Trinity Large Preview vs Nemotron 3.5 Lightning (low)
Nemotron 3.5 Lightning (low) unggul dalam skor rata-rata dengan 4.8 vs 4.8. Trinity Large Preview memiliki biaya benchmark lebih rendah di $0.008 vs $0.173. Trinity Large Preview lebih cepat di 2.98s vs 59.45s, dengan tingkat keberhasilan 21.2% vs 42.4%.
- Peringkat
- #225
- Total token output
- 653,448
- Waktu respons (rata-rata)
- 59.45s
- Total Biaya
- $0.173
Model yang direkomendasikan
Trinity Large Preview
Its score stays close to the best score here (4.8 vs 4.8), while costing about 22.3x less than Nemotron 3.5 Lightning (low).
Perbandingan terperinci
| Metrik | Trinity Large Preview Trinity Large Preview none | Nemotron 3.5 Lightning Nemotron 3.5 Lightning low Tersedia gratis |
|---|---|---|
| Skor | 4.8 | 4.8 |
| Peringkat | #230 | #225 |
| Keandalan | 10.0 | 9.8 |
| Konsistensi | 8.9 | 6.8 |
| Cakupan benchmark | 21/22 tes · 63/66 percobaan | 22/22 tes · 66/66 percobaan |
| Tes benar | ||
| Tingkat lulus per percobaan | 21.2% | 42.4% |
| Tes tidak stabil | 2 | 9 |
| Total Run | 63 | 66 |
| Biaya per hasil | 0.017 | 0.000 |
| Total Biaya | $0.008 | $0.173 |
| Harga input | $0.243 / 1M | $0.100 / 1M |
| Harga output | $0.243 / 1M | $0.250 / 1M |
| Total token input | 29,828 | 138,783 |
| Token output | 2,169 | 137,292 |
| Token penalaran | 0 | 516,156 |
| Waktu respons (rata-rata) | 2.98s | 59.45s |
| Waktu respons (maks) | 14.34s | 312.21s |
| Waktu respons (total) | 56.57s | 1307.87s |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#230 Trinity Large Preview
none
No endpoints found for arcee-ai/trinity-large-preview:free.
- Biaya
- $0.000
- Waktu
- 0.0s
- Token
- 0 tok
#225 Nemotron 3.5 Lightning
low
Belum ada hasil showcase yang dihasilkan untuk model ini.
- Biaya
- $0.000
- Waktu
- -
- Token
- 0 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 Preview | 3.1 | 10.0 | 0.0% | 0 | 2.07s | 651 | 550 | 0 | |
| Nemotron 3.5 Lightning | 6.9 | 5.8 | 75.0% | 2 | 14.82s | 696 | 2,231 | 13,263 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Preview | 3.7 | 7.7 | 11.1% | 1 | 14.34s | 738 | 397 | 0 | |
| Nemotron 3.5 Lightning | 4.0 | 7.8 | 11.1% | 1 | 224.42s | 7,522 | 72,614 | 262,558 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Preview | 1.5 | 5.0 | 0.0% | 0 | 8.91s | 12,053 | 294 | 0 | |
| Nemotron 3.5 Lightning | 6.3 | 10.0 | 50.0% | 0 | 142.36s | 111,134 | 17,771 | 117,066 |
| 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 Preview | 10.0 | 10.0 | 100.0% | 0 | 3.26s | 6,900 | 186 | 0 | |
| Nemotron 3.5 Lightning | 2.9 | 5.8 | 16.7% | 1 | 31.32s | 7,944 | 3,462 | 17,930 |
| 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 Preview | 5.3 | 10.0 | 33.3% | 0 | 877ms | 738 | 25 | 0 | |
| Nemotron 3.5 Lightning | 3.6 | 7.2 | 22.2% | 1 | 50.01s | 789 | 35,039 | 68,482 |
| 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 Preview | 4.5 | 10.0 | 0.0% | 0 | 873ms | 498 | 104 | 0 | |
| Nemotron 3.5 Lightning | 3.7 | 9.5 | 0.0% | 0 | 4.61s | 516 | 2,794 | 2,933 |
| 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 Preview | 3.5 | 10.0 | 0.0% | 0 | 822ms | 678 | 63 | 0 | |
| Nemotron 3.5 Lightning | 8.4 | 6.9 | 83.3% | 1 | 5.46s | 723 | 434 | 4,423 |
| 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 Preview | 3.6 | 7.7 | 11.1% | 1 | 1.97s | 669 | 265 | 0 | |
| Nemotron 3.5 Lightning | 3.6 | 1.8 | 44.4% | 3 | 6.21s | 726 | 1,402 | 11,841 |
| 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 Preview | 10.0 | 10.0 | 100.0% | 0 | 6.67s | 6,699 | 267 | 0 | |
| Nemotron 3.5 Lightning | 10.0 | 10.0 | 100.0% | 0 | 5.08s | 8,526 | 124 | 2,685 |
| 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 Preview | 3.0 | 10.0 | 0.0% | 0 | 777ms | 204 | 18 | 0 | |
| Nemotron 3.5 Lightning | 3.0 | 10.0 | 0.0% | 0 | 38.68s | 207 | 1,421 | 14,975 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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