- Peringkat
- #288
- Total token output
- 932,619
- Waktu respons (rata-rata)
- 75.86s
- Total Biaya
- $0.592
Trinity Large Thinking (high) vs Mercury 2
Trinity Large Thinking (high) unggul dalam skor rata-rata dengan 4.8 vs 4.7. Mercury 2 memiliki biaya benchmark lebih rendah di $0.030 vs $0.592. Mercury 2 lebih cepat di 825ms vs 75.86s, dengan tingkat keberhasilan 39.4% vs 24.2%.
Model yang Dibandingkan
- Peringkat
- #297
- Total token output
- 9,584
- Waktu respons (rata-rata)
- 825ms
- Total Biaya
- $0.030
Model yang direkomendasikan
Mercury 2
Its score stays close to the best score here (4.7 vs 4.8), while costing about 20.0x less than Trinity Large Thinking (high).
Perbandingan terperinci
| Metrik | Trinity Large Thinking Trinity Large Thinking high | Mercury 2 Mercury 2 none |
|---|---|---|
| Skor | 4.8 | 4.7 |
| Peringkat | #288 | #297 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 7.2 | 9.2 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 39.4% | 24.2% |
| Tes tidak stabil | 8 | 2 |
| Total Run | 66 | 66 |
| Biaya per hasil | 12.473 | 0.740 |
| Total Biaya | $0.592 | $0.030 |
| Harga input | $0.250 / 1M | $0.250 / 1M |
| Harga output | $0.800 / 1M | $0.750 / 1M |
| Total token input | 101,776 | 89,637 |
| Token output | 276,367 | 9,584 |
| Token penalaran | 656,252 | 0 |
| Waktu respons (rata-rata) | 75.86s | 825ms |
| Waktu respons (maks) | 510.21s | 4.52s |
| Waktu respons (total) | 1668.93s | 18.14s |
| 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.
#288 Trinity Large Thinking
high- Biaya
- $0.028
- Waktu
- 130.1s
- Token
- 34,387 tok
#297 Mercury 2
none- Biaya
- $0.002
- Waktu
- 1.8s
- Token
- 1,514 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 | 3.0 | 10.0 | 0.0% | 0 | 483ms | 631 | 286 | 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 | 3.4 | 9.6 | 0.0% | 0 | 1.03s | 7,229 | 3,088 | 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 | 3.0 | 10.0 | 0.0% | 0 | 2.56s | 65,412 | 5,256 | 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 | 7.3 | 5.9 | 83.3% | 1 | 667ms | 6,362 | 180 | 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 | 5.9 | 7.2 | 55.6% | 1 | 500ms | 1,717 | 66 | 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 | 4.8 | 10.0 | 0.0% | 0 | 628ms | 495 | 159 | 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 | 6.5 | 10.0 | 50.0% | 0 | 551ms | 691 | 82 | 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 | 3.1 | 10.0 | 0.0% | 0 | 535ms | 694 | 251 | 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 | 10.0 | 10.0 | 100.0% | 0 | 1.27s | 6,193 | 197 | 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 | 3.0 | 10.0 | 0.0% | 0 | 548ms | 213 | 19 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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