- Peringkat
- #266
- Total token output
- 932,619
- Waktu respons (rata-rata)
- 75.86s
- Total Biaya
- $0.592
Trinity Large Thinking (high) vs Mercury 2.5 Preview
Mercury 2.5 Preview unggul dalam skor rata-rata dengan 4.9 vs 4.8. Mercury 2.5 Preview memiliki biaya benchmark lebih rendah di $0.018 vs $0.592. Mercury 2.5 Preview lebih cepat di 3.51s vs 75.86s, dengan tingkat keberhasilan 39.4% vs 30.3%.
- Peringkat
- #259
- Total token output
- 82,585
- Waktu respons (rata-rata)
- 3.51s
- Total Biaya
- $0.018
Model yang direkomendasikan
Mercury 2.5 Preview
It has the best score here (4.9), while costing about 33.6x less than Trinity Large Thinking (high).
Perbandingan terperinci
| Metrik | Trinity Large Thinking Trinity Large Thinking high | Mercury 2.5 Preview Mercury 2.5 Preview none |
|---|---|---|
| Skor | 4.8 | 4.9 |
| Peringkat | #266 | #259 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 7.2 | 8.3 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 39.4% | 30.3% |
| Tes tidak stabil | 8 | 5 |
| Total Run | 66 | 66 |
| Biaya per hasil | 12.473 | 0.440 |
| Total Biaya | $0.592 | $0.018 |
| Harga input | $0.250 / 1M | $0.040 / 1M |
| Harga output | $0.800 / 1M | $0.150 / 1M |
| Total token input | 101,776 | 130,296 |
| Token output | 276,367 | 82,585 |
| Token penalaran | 656,252 | 0 |
| Waktu respons (rata-rata) | 75.86s | 3.51s |
| Waktu respons (maks) | 510.21s | 60.70s |
| Waktu respons (total) | 1668.93s | 77.28s |
| Parameter | 398B total (13B aktif) | ~100B |
| Ketersediaan | Bobot tersedia | Tertutup |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#266 Trinity Large Thinking
high- Biaya
- $0.028
- Waktu
- 130.1s
- Token
- 34,387 tok
#259 Mercury 2.5 Preview
none
SVG tidak valid
- Biaya
- $0.001
- Waktu
- 3.3s
- Token
- 3,122 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 Thinking | 6.7 | 8.1 | 58.3% | 1 | 4.13s | 663 | 3,108 | 7,565 | |
| Mercury 2.5 Preview | 3.8 | 8.3 | 16.7% | 1 | 655ms | 812 | 256 | 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 Thinking | 3.7 | 4.7 | 33.3% | 2 | 245.04s | 7,204 | 83,616 | 266,836 | |
| Mercury 2.5 Preview | 4.7 | 7.9 | 22.2% | 1 | 459ms | 7,850 | 650 | 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 Thinking | 3.0 | 10.0 | 0.0% | 0 | 262.39s | 76,626 | 14,706 | 149,243 | |
| Mercury 2.5 Preview | 3.0 | 10.0 | 0.0% | 0 | 31.28s | 101,129 | 80,273 | 0 |
| 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 Thinking | 6.3 | 5.8 | 66.7% | 1 | 13.98s | 6,906 | 580 | 9,338 | |
| Mercury 2.5 Preview | 6.3 | 5.8 | 66.7% | 1 | 1.04s | 8,333 | 672 | 0 |
| 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 Thinking | 2.9 | 7.2 | 11.1% | 1 | 66.94s | 756 | 163,364 | 166,091 | |
| Mercury 2.5 Preview | 3.6 | 7.2 | 22.2% | 1 | 631ms | 875 | 40 | 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 Thinking | 6.5 | 3.4 | 66.7% | 1 | 12.90s | 501 | 5,700 | 5,942 | |
| Mercury 2.5 Preview | 5.0 | 10.0 | 0.0% | 0 | 482ms | 544 | 85 | 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 Thinking | 6.3 | 10.0 | 50.0% | 0 | 4.12s | 684 | 88 | 2,853 | |
| Mercury 2.5 Preview | 6.3 | 10.0 | 50.0% | 0 | 1.26s | 753 | 73 | 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 Thinking | 4.7 | 5.2 | 33.3% | 2 | 3.84s | 678 | 2,566 | 3,368 | |
| Mercury 2.5 Preview | 5.6 | 7.4 | 44.4% | 1 | 684ms | 796 | 292 | 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 Thinking | 10.0 | 10.0 | 100.0% | 0 | 5.96s | 7,551 | 282 | 1,440 | |
| Mercury 2.5 Preview | 10.0 | 10.0 | 100.0% | 0 | 1.29s | 8,969 | 229 | 0 |
| 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 Thinking | 3.0 | 10.0 | 0.0% | 0 | 125.13s | 207 | 2,357 | 43,576 | |
| Mercury 2.5 Preview | 3.0 | 10.0 | 0.0% | 0 | 419ms | 235 | 15 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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