- Peringkat
- #91
- Total token output
- 127,034
- Waktu respons (rata-rata)
- 3.58s
- Total Biaya
- $0.024
Mercury 2.5 Preview (medium) vs Qwen3.8 2.4T A95B (high)
Mercury 2.5 Preview (medium) unggul dalam skor rata-rata dengan 7.5 vs 7.4. Mercury 2.5 Preview (medium) memiliki biaya benchmark lebih rendah di $0.024 vs $2.357. Mercury 2.5 Preview (medium) lebih cepat di 3.58s vs 120.59s, dengan tingkat keberhasilan 69.7% vs 74.2%.
- Peringkat
- #99
- Total token output
- 456,028
- Waktu respons (rata-rata)
- 120.59s
- Total Biaya
- $2.357
Model yang direkomendasikan
Mercury 2.5 Preview (medium)
It has the best score here (7.5), while costing about 100.0x less than Qwen3.8 2.4T A95B (high).
Perbandingan terperinci
| Metrik | Mercury 2.5 Preview Mercury 2.5 Preview medium | Qwen3.8 2.4T A95B Qwen3.8 2.4T A95B high |
|---|---|---|
| Skor | 7.5 | 7.4 |
| Peringkat | #91 | #99 |
| Keandalan | 10.0 | 9.4 |
| Konsistensi | 9.6 | 8.3 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 69.7% | 74.2% |
| Tes tidak stabil | 1 | 4 |
| Total Run | 66 | 66 |
| Biaya per hasil | 0.158 | 16.832 |
| Total Biaya | $0.024 | $2.357 |
| Harga input | $0.040 / 1M | $2.000 / 1M |
| Harga output | $0.150 / 1M | $6.000 / 1M |
| Total token input | 112,713 | 108,931 |
| Token output | 5,436 | 112,801 |
| Token penalaran | 121,598 | 343,227 |
| Waktu respons (rata-rata) | 3.58s | 120.59s |
| Waktu respons (maks) | 17.84s | 532.28s |
| Waktu respons (total) | 78.66s | 2653.05s |
| Parameter | ~100B | 2.4T total (95B aktif) |
| Ketersediaan | Tertutup | Bobot tersedia |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#91 Mercury 2.5 Preview
medium- Biaya
- $0.001
- Waktu
- 2.7s
- Token
- 2,241 tok
#99 Qwen3.8 2.4T A95B
high
SVG tidak valid
- Biaya
- $0.000
- Waktu
- 600.0s
- Token
- 0 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 |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 10.0 | 10.0 | 100.0% | 0 | 1.43s | 781 | 203 | 7,921 | |
| Qwen3.8 2.4T A95B | 10.0 | 10.0 | 100.0% | 0 | 24.22s | 1,128 | 305 | 4,864 |
| 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 Preview | 7.8 | 10.0 | 66.7% | 0 | 3.86s | 7,839 | 552 | 22,126 | |
| Qwen3.8 2.4T A95B | 5.9 | 6.3 | 55.6% | 1 | 160.52s | 6,399 | 3,310 | 48,078 |
| 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 Preview | 6.5 | 10.0 | 50.0% | 0 | 13.86s | 92,663 | 3,607 | 41,588 | |
| Qwen3.8 2.4T A95B | 6.9 | 5.9 | 66.7% | 1 | 266.12s | 81,205 | 7,791 | 41,921 |
| 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 Preview | 10.0 | 10.0 | 100.0% | 0 | 2.77s | 8,292 | 514 | 11,354 | |
| Qwen3.8 2.4T A95B | 10.0 | 10.0 | 100.0% | 0 | 13.67s | 7,928 | 550 | 2,307 |
| 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 Preview | 5.3 | 7.2 | 44.4% | 1 | 3.72s | 853 | 62 | 17,120 | |
| Qwen3.8 2.4T A95B | 4.1 | 6.5 | 22.2% | 1 | 301.08s | 964 | 11,279 | 139,028 |
| 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 Preview | 5.0 | 10.0 | 0.0% | 0 | 2.09s | 538 | 99 | 3,375 | |
| Qwen3.8 2.4T A95B | 6.1 | 3.1 | 66.7% | 1 | 11.38s | 630 | 2,020 | 2,165 |
| 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 Preview | 9.8 | 10.0 | 100.0% | 0 | 1.35s | 744 | 96 | 3,987 | |
| Qwen3.8 2.4T A95B | 9.8 | 10.0 | 100.0% | 0 | 11.45s | 927 | 245 | 1,727 |
| 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 Preview | 10.0 | 10.0 | 100.0% | 0 | 1.87s | 771 | 274 | 7,323 | |
| Qwen3.8 2.4T A95B | 10.0 | 10.0 | 100.0% | 0 | 65.54s | 989 | 698 | 15,073 |
| 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 Preview | 3.0 | 10.0 | 0.0% | 0 | 2.37s | 0 | 0 | 0 | |
| Qwen3.8 2.4T A95B | 10.0 | 10.0 | 100.0% | 0 | 32.93s | 8,481 | 302 | 656 |
| 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 Preview | 3.0 | 10.0 | 0.0% | 0 | 4.13s | 232 | 29 | 6,804 | |
| Qwen3.8 2.4T A95B | 3.0 | 10.0 | 0.0% | 0 | 347.95s | 280 | 86,301 | 87,408 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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