- Peringkat
- #292
- Total token output
- 2,169
- Waktu respons (rata-rata)
- 2.98s
- Total Biaya
- $0.008
Trinity Large Preview vs Trinity Large Thinking (high)
Skor rata-rata hampir imbang di 4.8 vs 4.8. Trinity Large Preview memiliki biaya benchmark lebih rendah di $0.008 vs $0.592. Trinity Large Preview lebih cepat di 2.98s vs 75.86s, dengan tingkat keberhasilan 21.2% vs 39.4%.
Model yang Dibandingkan
- Peringkat
- #288
- Total token output
- 932,619
- Waktu respons (rata-rata)
- 75.86s
- Total Biaya
- $0.592
Model yang direkomendasikan
Trinity Large Preview
It has the best score here (4.8), while costing about 76.3x less than Trinity Large Thinking (high).
Perbandingan terperinci
| Metrik | Trinity Large Preview Trinity Large Preview none | Trinity Large Thinking Trinity Large Thinking high |
|---|---|---|
| Skor | 4.8 | 4.8 |
| Peringkat | #292 | #288 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 8.9 | 7.2 |
| Percobaan | 63/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 21.2% | 39.4% |
| Tes tidak stabil | 2 | 8 |
| Total Run | 63 | 66 |
| Biaya per hasil | 0.017 | 12.473 |
| Total Biaya | $0.008 | $0.592 |
| Harga input | $0.243 / 1M | $0.250 / 1M |
| Harga output | $0.243 / 1M | $0.800 / 1M |
| Total token input | 29,828 | 101,776 |
| Token output | 2,169 | 276,367 |
| Token penalaran | 0 | 656,252 |
| Waktu respons (rata-rata) | 2.98s | 75.86s |
| Waktu respons (maks) | 14.34s | 510.21s |
| Waktu respons (total) | 56.57s | 1668.93s |
| Parameter | 398B total (13B aktif) | 398B total (13B 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.
#292 Trinity Large Preview
none
No endpoints found for arcee-ai/trinity-large-preview:free.
- Biaya
- $0.000
- Waktu
- 0.0s
- Token
- 0 tok
#288 Trinity Large Thinking
high- Biaya
- $0.028
- Waktu
- 130.1s
- Token
- 34,387 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 | |
| Trinity Large Thinking | 6.7 | 8.1 | 58.3% | 1 | 4.13s | 663 | 3,108 | 7,565 |
| 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 | |
| Trinity Large Thinking | 3.7 | 4.7 | 33.3% | 2 | 245.04s | 7,204 | 83,616 | 266,836 |
| 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 | |
| Trinity Large Thinking | 3.0 | 10.0 | 0.0% | 0 | 262.39s | 76,626 | 14,706 | 149,243 |
| 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 | |
| Trinity Large Thinking | 6.3 | 5.8 | 66.7% | 1 | 13.98s | 6,906 | 580 | 9,338 |
| 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 | |
| Trinity Large Thinking | 2.9 | 7.2 | 11.1% | 1 | 66.94s | 756 | 163,364 | 166,091 |
| 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 | |
| Trinity Large Thinking | 6.5 | 3.4 | 66.7% | 1 | 12.90s | 501 | 5,700 | 5,942 |
| 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 | |
| Trinity Large Thinking | 6.3 | 10.0 | 50.0% | 0 | 4.12s | 684 | 88 | 2,853 |
| 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 | |
| Trinity Large Thinking | 4.7 | 5.2 | 33.3% | 2 | 3.84s | 678 | 2,566 | 3,368 |
| 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 | |
| Trinity Large Thinking | 10.0 | 10.0 | 100.0% | 0 | 5.96s | 7,551 | 282 | 1,440 |
| 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 | |
| Trinity Large Thinking | 3.0 | 10.0 | 0.0% | 0 | 125.13s | 207 | 2,357 | 43,576 |
Perbandingan Cepat
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