- Peringkat
- #306
- Total token output
- 2,169
- Waktu respons (rata-rata)
- 2.98s
- Total Biaya
- $0.008
Trinity Large Preview vs Laguna S 2.1 (low)
Laguna S 2.1 (low) unggul dalam skor rata-rata dengan 5.0 vs 4.8. Trinity Large Preview memiliki biaya benchmark lebih rendah di $0.008 vs $0.082. Trinity Large Preview lebih cepat di 2.98s vs 85.34s, dengan tingkat keberhasilan 21.2% vs 22.7%.
Model yang Dibandingkan
- Peringkat
- #291
- Total token output
- 451,708
- Waktu respons (rata-rata)
- 85.34s
- Total Biaya
- $0.082
Model yang direkomendasikan
Trinity Large Preview
Its score stays close to the best score here (4.8 vs 5.0), while costing about 10.5x less than Laguna S 2.1 (low).
Perbandingan terperinci
| Metrik | Trinity Large Preview Trinity Large Preview none | Laguna S 2.1 Laguna S 2.1 low Tersedia gratis |
|---|---|---|
| Skor | 4.8 | 5.0 |
| Peringkat | #306 | #291 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 8.9 | 8.0 |
| Percobaan | 63/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 21.2% | 22.7% |
| Tes tidak stabil | 2 | 5 |
| Total Run | 63 | 66 |
| Biaya per hasil | 0.017 | 3.022 |
| Total Biaya | $0.008 | $0.082 |
| Harga input | $0.243 / 1M | $0.090 / 1M |
| Harga output | $0.243 / 1M | $0.180 / 1M |
| Total token input | 29,828 | 118,752 |
| Token output | 2,169 | 67,823 |
| Token penalaran | 0 | 383,885 |
| Waktu respons (rata-rata) | 2.98s | 85.34s |
| Waktu respons (maks) | 14.34s | 814.73s |
| Waktu respons (total) | 56.57s | 1877.49s |
| Parameter | 398B total (13B aktif) | 118B total (8B aktif) |
| Ketersediaan | Sumber terbuka | Bobot tersedia |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#306 Trinity Large Preview
none
No endpoints found for arcee-ai/trinity-large-preview:free.
- Biaya
- $0.000
- Waktu
- 0.0s
- Token
- 0 tok
#291 Laguna S 2.1
low- Biaya
- $0.001
- Waktu
- 6.6s
- Token
- 1,314 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 | |
| Laguna S 2.1 | 3.4 | 7.4 | 8.3% | 1 | 80.66s | 616 | 311 | 43,722 |
| 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 | |
| Laguna S 2.1 | 3.8 | 7.1 | 22.2% | 1 | 167.51s | 7,917 | 58,111 | 119,138 |
| 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 | |
| Laguna S 2.1 | 3.2 | 5.2 | 16.7% | 1 | 412.50s | 92,870 | 8,211 | 174,584 |
| 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 | |
| Laguna S 2.1 | 10.0 | 10.0 | 100.0% | 0 | 2.76s | 7,689 | 243 | 1,981 |
| 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 | |
| Laguna S 2.1 | 3.0 | 10.0 | 0.0% | 0 | 2.46s | 771 | 24 | 2,606 |
| 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 | |
| Laguna S 2.1 | 4.8 | 10.0 | 0.0% | 0 | 650ms | 513 | 120 | 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 | |
| Laguna S 2.1 | 4.3 | 6.8 | 16.7% | 1 | 423ms | 702 | 60 | 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 | |
| Laguna S 2.1 | 3.1 | 7.3 | 11.1% | 1 | 2.70s | 699 | 447 | 1,444 |
| 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 | |
| Laguna S 2.1 | 10.0 | 10.0 | 100.0% | 0 | 2.36s | 6,747 | 286 | 417 |
| 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 | |
| Laguna S 2.1 | 3.0 | 10.0 | 0.0% | 0 | 202.49s | 228 | 10 | 39,993 |
Perbandingan Cepat
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