- Peringkat
- #349
- Total token output
- 2,169
- Waktu respons (rata-rata)
- 2.83s
- Total Biaya
- $0.008
Trinity Large Preview (default) vs DeepSeek V3.2
DeepSeek V3.2 unggul dalam skor rata-rata dengan 4.6 vs 4.4. Trinity Large Preview (default) memiliki biaya benchmark lebih rendah di $0.008 vs $0.119. Trinity Large Preview (default) lebih cepat di 2.83s vs 22.44s, dengan tingkat keberhasilan 20.3% vs 34.8%.
Model yang Dibandingkan
- Peringkat
- #334
- Total token output
- 57,866
- Waktu respons (rata-rata)
- 22.44s
- Total Biaya
- $0.119
Model yang direkomendasikan
Trinity Large Preview (default)
Its score stays close to the best score here (4.4 vs 4.6), while costing about 15.2x less than DeepSeek V3.2.
Perbandingan terperinci
| Metrik | Trinity Large Preview Trinity Large Preview default Tersedia gratis | DeepSeek V3.2 DeepSeek V3.2 none |
|---|---|---|
| Skor | 4.4 | 4.6 |
| Peringkat | #349 | #334 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 9.0 | 8.2 |
| Percobaan | 66/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 20.3% | 34.8% |
| Tes tidak stabil | 2 | 5 |
| Total Run | 66 | 69 |
| Biaya per hasil | 0.017 | 1.943 |
| Total Biaya | $0.008 | $0.119 |
| Harga input | $0.243 / 1M | $0.280 / 1M |
| Harga output | $0.243 / 1M | $0.420 / 1M |
| Harga baca cache | T/A | $0.028 / 1M |
| Harga tulis cache | T/A | T/A |
| Total token input | 29,828 | 342,158 |
| Token output | 2,169 | 32,853 |
| Token penalaran | 0 | 25,013 |
| Waktu respons (rata-rata) | 2.83s | 22.44s |
| Waktu respons (maks) | 14.34s | 122.50s |
| Waktu respons (total) | 56.65s | 516.03s |
| Parameter | 398B total (13B aktif) | 671B total (37B aktif) |
| Ketersediaan | Sumber terbuka | Sumber terbuka |
Harga cache berlaku untuk token input. Pembacaan memakai kembali prompt tersimpan; penulisan menyimpannya dan dapat menambah biaya. Token output menggunakan harga output.
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#349 Trinity Large Preview
default
No endpoints found for arcee-ai/trinity-large-preview:free.
- Biaya
- $0.000
- Waktu
- 0.0s
- Token
- 0 tok
#334 DeepSeek V3.2
none- Biaya
- $0.002
- Waktu
- 7.0s
- Token
- 1,046 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 Preview | 3.0 | 10.0 | 0.0% | 0 | 88ms | 0 | 0 | 0 | |
| DeepSeek V3.2 | 3.0 | 10.0 | 0.0% | 0 | 122.50s | 206,327 | 15,767 | 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 Preview | 3.1 | 10.0 | 0.0% | 0 | 2.07s | 651 | 550 | 0 | |
| DeepSeek V3.2 | 3.2 | 8.0 | 8.3% | 1 | 9.35s | 494 | 1,073 | 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 Preview | 3.7 | 7.7 | 11.1% | 1 | 14.34s | 738 | 397 | 0 | |
| DeepSeek V3.2 | 3.1 | 6.9 | 11.1% | 1 | 14.54s | 7,279 | 4,528 | 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 Preview | 1.5 | 5.0 | 0.0% | 0 | 8.91s | 12,053 | 294 | 0 | |
| DeepSeek V3.2 | 4.8 | 10.0 | 0.0% | 0 | 113.53s | 109,626 | 10,550 | 23,269 |
| 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 | |
| DeepSeek V3.2 | 6.3 | 5.8 | 66.7% | 1 | 9.42s | 7,890 | 210 | 1,500 |
| 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 | |
| DeepSeek V3.2 | 3.0 | 10.0 | 0.0% | 0 | 1.48s | 675 | 23 | 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 Preview | 4.5 | 10.0 | 0.0% | 0 | 873ms | 498 | 104 | 0 | |
| DeepSeek V3.2 | 4.7 | 1.6 | 66.7% | 1 | 9.32s | 314 | 43 | 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 Preview | 3.5 | 10.0 | 0.0% | 0 | 822ms | 678 | 63 | 0 | |
| DeepSeek V3.2 | 10.0 | 10.0 | 100.0% | 0 | 1.52s | 627 | 66 | 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 Preview | 3.6 | 7.7 | 11.1% | 1 | 1.97s | 669 | 265 | 0 | |
| DeepSeek V3.2 | 7.6 | 7.2 | 77.8% | 1 | 6.91s | 424 | 298 | 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 Preview | 10.0 | 10.0 | 100.0% | 0 | 6.67s | 6,699 | 267 | 0 | |
| DeepSeek V3.2 | 10.0 | 10.0 | 100.0% | 0 | 11.85s | 8,319 | 278 | 244 |
| 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 | |
| DeepSeek V3.2 | 3.0 | 10.0 | 0.0% | 0 | 17.23s | 183 | 17 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
Trinity Large PreviewdefaultTersedia gratisvsGranite 4.2 8BnoneDeepSeek V3.2nonevsQwen3 Coder NextmediumTrinity Large PreviewdefaultTersedia gratisvsNemotron 3 SupernoneTersedia gratisDeepSeek V3.2nonevsLaguna S 2.1lowTersedia gratisDeepSeek V3.2nonevsGranite 4.2 8BhighDeepSeek V3.2nonevsNemotron 3.5 LightninglowTersedia gratisTrinity Large PreviewdefaultTersedia gratisvsCobuddymediumTersedia gratisNorth Mini CodedefaultTersedia gratisvsDeepSeek V3.2noneTrinity Large PreviewdefaultTersedia gratisvsMercury 2noneDeepSeek V3.2nonevsNemotron 3.5 LightningmediumTersedia gratisDeepSeek V3.2nonevsMercury 2.5 PreviewdefaultDeepSeek V3.2nonevsLing 2.6 Flashdefault