- Peringkat
- #293
- Total token output
- 40,302
- Waktu respons (rata-rata)
- 3.34s
- Total Biaya
- $0.020
Mercury 2.5 (low) vs MiMo-V2.5-Pro
Skor rata-rata hampir imbang di 5.1 vs 5.1. Mercury 2.5 (low) memiliki biaya benchmark lebih rendah di $0.020 vs $0.157. Mercury 2.5 (low) lebih cepat di 3.34s vs 6.21s, dengan tingkat keberhasilan 37.7% vs 31.9%.
Model yang Dibandingkan
- Peringkat
- #295
- Total token output
- 17,069
- Waktu respons (rata-rata)
- 6.21s
- Total Biaya
- $0.157
Model yang direkomendasikan
Mercury 2.5 (low)
It has the best score here (5.1), while costing about 8.2x less than MiMo-V2.5-Pro.
Perbandingan terperinci
| Metrik | Mercury 2.5 Mercury 2.5 low | MiMo-V2.5-Pro MiMo-V2.5-Pro none |
|---|---|---|
| Skor | 5.1 | 5.1 |
| Peringkat | #293 | #295 |
| Keandalan | 9.8 | 10.0 |
| Konsistensi | 8.2 | 8.7 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 37.7% | 31.9% |
| Tes tidak stabil | 5 | 4 |
| Total Run | 69 | 69 |
| Biaya per hasil | 0.319 | 3.128 |
| Total Biaya | $0.020 | $0.157 |
| Harga input | $0.040 / 1M | $0.435 / 1M |
| Harga output | $0.150 / 1M | $0.870 / 1M |
| Total token input | 326,083 | 273,075 |
| Token output | 7,224 | 17,069 |
| Token penalaran | 33,078 | 0 |
| Waktu respons (rata-rata) | 3.34s | 6.21s |
| Waktu respons (maks) | 47.06s | 53.13s |
| Waktu respons (total) | 76.80s | 142.89s |
| Parameter | ~100B | 1.02T total (42B aktif) |
| Ketersediaan | Tertutup | Sumber terbuka |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#293 Mercury 2.5
low- Biaya
- $0.001
- Waktu
- 2.4s
- Token
- 1,236 tok
#295 MiMo-V2.5-Pro
none- Biaya
- $0.004
- Waktu
- 46.4s
- Token
- 4,025 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 | 5.0 | 10.0 | 0.0% | 0 | 47.06s | 188,063 | 1,141 | 5,442 | |
| MiMo-V2.5-Pro | 3.9 | 9.6 | 0.0% | 0 | 49.61s | 148,267 | 1,707 | 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 | 6.9 | 7.9 | 66.7% | 1 | 799ms | 772 | 209 | 2,969 | |
| MiMo-V2.5-Pro | 3.3 | 8.1 | 8.3% | 1 | 2.67s | 645 | 994 | 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 | 5.5 | 10.0 | 33.3% | 0 | 972ms | 7,909 | 521 | 2,269 | |
| MiMo-V2.5-Pro | 4.3 | 7.8 | 22.2% | 1 | 1.41s | 6,559 | 485 | 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 | 3.0 | 10.0 | 0.0% | 0 | 5.16s | 107,683 | 3,750 | 11,351 | |
| MiMo-V2.5-Pro | 3.0 | 10.0 | 0.0% | 0 | 28.33s | 98,770 | 12,915 | 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 | 6.5 | 10.0 | 50.0% | 0 | 1.06s | 8,322 | 739 | 1,499 | |
| MiMo-V2.5-Pro | 10.0 | 10.0 | 100.0% | 0 | 1.32s | 7,758 | 249 | 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 | 846ms | 851 | 57 | 2,265 | |
| MiMo-V2.5-Pro | 3.0 | 10.0 | 0.0% | 0 | 1.79s | 762 | 27 | 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 | 819ms | 525 | 99 | 748 | |
| MiMo-V2.5-Pro | 4.0 | 10.0 | 0.0% | 0 | 2.58s | 498 | 87 | 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 | 2.9 | 6.0 | 16.7% | 1 | 972ms | 518 | 48 | 1,026 | |
| MiMo-V2.5-Pro | 6.4 | 10.0 | 50.0% | 0 | 1.03s | 684 | 66 | 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 | 5.9 | 4.5 | 66.7% | 2 | 792ms | 768 | 249 | 2,214 | |
| MiMo-V2.5-Pro | 6.7 | 4.7 | 77.8% | 2 | 1.30s | 678 | 267 | 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 | 9.8 | 10.0 | 100.0% | 0 | 2.72s | 10,440 | 388 | 2,537 | |
| MiMo-V2.5-Pro | 10.0 | 10.0 | 100.0% | 0 | 3.30s | 8,238 | 258 | 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 | 782ms | 232 | 23 | 758 | |
| MiMo-V2.5-Pro | 3.0 | 10.0 | 0.0% | 0 | 1.89s | 216 | 14 | 0 |
Perbandingan Cepat
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