- Peringkat
- #206
- Total token output
- 138,946
- Waktu respons (rata-rata)
- 7.74s
- Total Biaya
- $0.034
Mercury 2.5 (medium) vs Qwen3.6 27B
Skor rata-rata hampir imbang di 6.4 vs 6.3. Mercury 2.5 (medium) memiliki biaya benchmark lebih rendah di $0.034 vs $0.147. Mercury 2.5 (medium) lebih cepat di 7.74s vs 12.71s, dengan tingkat keberhasilan 63.8% vs 47.8%.
Model yang Dibandingkan
- Peringkat
- #213
- Total token output
- 20,816
- Waktu respons (rata-rata)
- 12.71s
- Total Biaya
- $0.147
Model yang direkomendasikan
Mercury 2.5 (medium)
It has the best score here (6.4), while costing about 4.4x less than Qwen3.6 27B.
Perbandingan terperinci
| Metrik | Mercury 2.5 Mercury 2.5 medium | Qwen3.6 27B Qwen3.6 27B none |
|---|---|---|
| Skor | 6.4 | 6.3 |
| Peringkat | #206 | #213 |
| Keandalan | 9.7 | 10.0 |
| Konsistensi | 8.3 | 7.7 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 63.8% | 47.8% |
| Tes tidak stabil | 5 | 6 |
| Total Run | 69 | 69 |
| Biaya per hasil | 0.280 | 1.874 |
| Total Biaya | $0.034 | $0.147 |
| Harga input | $0.040 / 1M | $0.320 / 1M |
| Harga output | $0.150 / 1M | $3.200 / 1M |
| Total token input | 317,982 | 250,919 |
| Token output | 3,918 | 20,816 |
| Token penalaran | 135,028 | 0 |
| Waktu respons (rata-rata) | 7.74s | 12.71s |
| Waktu respons (maks) | 107.89s | 156.31s |
| Waktu respons (total) | 178.07s | 292.29s |
| Parameter | ~100B | 27B |
| Ketersediaan | Tertutup | Sumber terbuka |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#206 Mercury 2.5
medium- Biaya
- $0.001
- Waktu
- 3.8s
- Token
- 3,386 tok
#213 Qwen3.6 27B
none- Biaya
- $0.009
- Waktu
- 83.0s
- Token
- 4,549 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
| Tugas agen | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 4.7 | 3.1 | 33.3% | 1 | 107.89s | 226,580 | 780 | 18,037 | |
| Qwen3.6 27B | 10.0 | 10.0 | 100.0% | 0 | 58.61s | 155,114 | 4,660 | 0 |
| Trik anti-AI | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 10.0 | 10.0 | 100.0% | 0 | 1.28s | 773 | 192 | 7,122 | |
| Qwen3.6 27B | 3.8 | 3.7 | 41.7% | 3 | 2.83s | 696 | 490 | 0 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 5.0 | 5.1 | 44.5% | 2 | 3.70s | 7,807 | 488 | 21,857 | |
| Qwen3.6 27B | 5.5 | 10.0 | 33.3% | 0 | 4.16s | 7,913 | 539 | 0 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 6.5 | 10.0 | 50.0% | 0 | 9.23s | 62,336 | 1,073 | 34,370 | |
| Qwen3.6 27B | 3.2 | 9.1 | 0.0% | 0 | 83.13s | 65,572 | 13,744 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 10.0 | 10.0 | 100.0% | 0 | 2.57s | 8,385 | 582 | 9,343 | |
| Qwen3.6 27B | 7.3 | 5.8 | 83.3% | 1 | 2.06s | 7,788 | 248 | 0 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 3.6 | 7.2 | 22.2% | 1 | 4.39s | 852 | 59 | 19,837 | |
| Qwen3.6 27B | 7.7 | 10.0 | 66.7% | 0 | 2.79s | 798 | 25 | 0 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 4.4 | 9.9 | 0.0% | 0 | 1.60s | 528 | 98 | 2,364 | |
| Qwen3.6 27B | 5.2 | 9.9 | 0.0% | 0 | 1.07s | 522 | 72 | 0 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 6.4 | 6.0 | 66.7% | 1 | 1.07s | 520 | 55 | 2,344 | |
| Qwen3.6 27B | 6.2 | 5.8 | 66.7% | 1 | 1.92s | 711 | 49 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 10.0 | 10.0 | 100.0% | 0 | 1.93s | 766 | 290 | 7,721 | |
| Qwen3.6 27B | 5.3 | 7.2 | 44.4% | 1 | 5.15s | 714 | 639 | 0 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 10.0 | 10.0 | 100.0% | 0 | 3.35s | 9,203 | 269 | 4,641 | |
| Qwen3.6 27B | 9.5 | 10.0 | 100.0% | 0 | 6.74s | 10,881 | 339 | 0 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 3.0 | 10.0 | 0.0% | 0 | 4.30s | 232 | 32 | 7,392 | |
| Qwen3.6 27B | 3.0 | 10.0 | 0.0% | 0 | 4.03s | 210 | 11 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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