- Peringkat
- #306
- Total token output
- 2,169
- Waktu respons (rata-rata)
- 2.98s
- Total Biaya
- $0.008
Trinity Large Preview vs Mercury 2.5 Preview (low)
Mercury 2.5 Preview (low) unggul dalam skor rata-rata dengan 5.0 vs 4.8. Trinity Large Preview memiliki biaya benchmark lebih rendah di $0.008 vs $0.011. Mercury 2.5 Preview (low) lebih cepat di 1.31s vs 2.98s, dengan tingkat keberhasilan 21.2% vs 47.0%.
Model yang Dibandingkan
- Peringkat
- #290
- Total token output
- 31,975
- Waktu respons (rata-rata)
- 1.31s
- Total Biaya
- $0.011
Model yang direkomendasikan
Mercury 2.5 Preview (low)
It has the best score here (5.0), while responding about 2.3x faster than Trinity Large Preview.
Perbandingan terperinci
| Metrik | Trinity Large Preview Trinity Large Preview none | Mercury 2.5 Preview Mercury 2.5 Preview low |
|---|---|---|
| Skor | 4.8 | 5.0 |
| Peringkat | #306 | #290 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 8.9 | 7.0 |
| Percobaan | 63/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 21.2% | 47.0% |
| Tes tidak stabil | 2 | 8 |
| Total Run | 63 | 66 |
| Biaya per hasil | 0.017 | 0.169 |
| Total Biaya | $0.008 | $0.011 |
| Harga input | $0.243 / 1M | $0.040 / 1M |
| Harga output | $0.243 / 1M | $0.150 / 1M |
| Total token input | 29,828 | 133,525 |
| Token output | 2,169 | 7,259 |
| Token penalaran | 0 | 24,716 |
| Waktu respons (rata-rata) | 2.98s | 1.31s |
| Waktu respons (maks) | 14.34s | 7.29s |
| Waktu respons (total) | 56.57s | 28.77s |
| Parameter | 398B total (13B aktif) | ~100B |
| Ketersediaan | Sumber terbuka | Tertutup |
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
#290 Mercury 2.5 Preview
low- Biaya
- $0.001
- Waktu
- 1.5s
- Token
- 1,169 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 | |
| Mercury 2.5 Preview | 5.6 | 3.8 | 66.7% | 3 | 759ms | 786 | 290 | 3,019 |
| 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 | |
| Mercury 2.5 Preview | 5.5 | 10.0 | 33.3% | 0 | 972ms | 7,794 | 695 | 2,263 |
| 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 | |
| Mercury 2.5 Preview | 3.0 | 10.0 | 0.0% | 0 | 4.77s | 110,517 | 5,013 | 9,661 |
| 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 | |
| Mercury 2.5 Preview | 6.3 | 5.8 | 66.7% | 1 | 1.12s | 8,309 | 611 | 1,521 |
| 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 | |
| Mercury 2.5 Preview | 4.1 | 4.4 | 44.5% | 2 | 836ms | 849 | 45 | 2,247 |
| 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 | |
| Mercury 2.5 Preview | 5.0 | 10.0 | 0.0% | 0 | 1.05s | 540 | 105 | 749 |
| 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 | |
| Mercury 2.5 Preview | 6.3 | 10.0 | 50.0% | 0 | 1.60s | 745 | 99 | 1,492 |
| 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 | |
| Mercury 2.5 Preview | 8.2 | 7.2 | 88.9% | 1 | 710ms | 777 | 312 | 2,271 |
| 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 | |
| Mercury 2.5 Preview | 2.8 | 1.6 | 33.3% | 1 | 1.57s | 2,983 | 76 | 739 |
| 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 | |
| Mercury 2.5 Preview | 3.0 | 10.0 | 0.0% | 0 | 591ms | 225 | 13 | 754 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
Mercury 2.5 PreviewlowvsMiniMax M2.7mediumDeepSeek V3.2nonevsMercury 2.5 PreviewlowNorth Mini CodenoneTersedia gratisvsMercury 2.5 PreviewlowTrinity Large PreviewnonevsNemotron 3.5 LightninglowTersedia gratisMercury 2.5 PreviewlowvsGPT-4o-mininoneMercury 2.5 PreviewlowvsQwen3.5-9BnoneTrinity Large PreviewnonevsCobuddymediumMercury 2.5 PreviewlowvsMiMo-V2.5noneMercury 2.5 PreviewlowvsQwen3 Coder NextnoneMercury 2.5 PreviewlowvsMistral Small 4mediumMercury 2.5 PreviewlowvsMistral Small 4noneMercury 2.5 PreviewlowvsNemotron 3.5 LightningmediumTersedia gratis