- Peringkat
- #194
- Total token output
- 193,676
- Waktu respons (rata-rata)
- 7.62s
- Total Biaya
- $0.044
Mercury 2.5 (high) vs Laguna XS 2.1 (medium)
Skor rata-rata hampir imbang di 6.5 vs 6.4. Mercury 2.5 (high) memiliki biaya benchmark lebih rendah di $0.044 vs $0.083. Mercury 2.5 (high) lebih cepat di 7.62s vs 48.97s, dengan tingkat keberhasilan 59.4% vs 46.4%.
Model yang Dibandingkan
- Peringkat
- #200
- Total token output
- 538,292
- Waktu respons (rata-rata)
- 48.97s
- Total Biaya
- $0.083
Model yang direkomendasikan
Mercury 2.5 (high)
It has the best score here (6.5), while costing about 1.9x less than Laguna XS 2.1 (medium).
Perbandingan terperinci
| Metrik | Mercury 2.5 Mercury 2.5 high | Laguna XS 2.1 Laguna XS 2.1 medium Tersedia gratis |
|---|---|---|
| Skor | 6.5 | 6.4 |
| Peringkat | #194 | #200 |
| Keandalan | 9.8 | 10.0 |
| Konsistensi | 8.7 | 9.0 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 59.4% | 46.4% |
| Tes tidak stabil | 4 | 3 |
| Total Run | 69 | 69 |
| Biaya per hasil | 0.362 | 0.922 |
| Total Biaya | $0.044 | $0.083 |
| Harga input | $0.040 / 1M | $0.060 / 1M |
| Harga output | $0.150 / 1M | $0.120 / 1M |
| Total token input | 358,562 | 352,516 |
| Token output | 4,266 | 33,786 |
| Token penalaran | 189,410 | 504,506 |
| Waktu respons (rata-rata) | 7.62s | 48.97s |
| Waktu respons (maks) | 80.30s | 422.72s |
| Waktu respons (total) | 175.36s | 1126.35s |
| Parameter | ~100B | 33B total (3B aktif) |
| Ketersediaan | Tertutup | Bobot tersedia |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#194 Mercury 2.5
high- Biaya
- $0.001
- Waktu
- 3.5s
- Token
- 2,447 tok
#200 Laguna XS 2.1
medium- Biaya
- $0.001
- Waktu
- 30.6s
- Token
- 4,678 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 | 3.9 | 9.6 | 0.0% | 0 | 80.30s | 238,494 | 864 | 18,265 | |
| Laguna XS 2.1 | 6.1 | 3.1 | 66.7% | 1 | 66.42s | 233,518 | 3,036 | 12,776 |
| 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 | 1.33s | 782 | 218 | 7,913 | |
| Laguna XS 2.1 | 4.8 | 10.0 | 25.0% | 0 | 41.96s | 774 | 353 | 73,090 |
| 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 | 6.4 | 7.8 | 44.4% | 1 | 6.58s | 7,757 | 415 | 44,012 | |
| Laguna XS 2.1 | 5.5 | 10.0 | 33.3% | 0 | 70.35s | 7,995 | 23,767 | 83,258 |
| 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 | 6.4 | 5.8 | 66.7% | 1 | 16.00s | 91,255 | 1,478 | 62,200 | |
| Laguna XS 2.1 | 6.3 | 10.0 | 50.0% | 0 | 218.07s | 91,698 | 5,496 | 229,064 |
| 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 | 3.08s | 8,355 | 557 | 9,430 | |
| Laguna XS 2.1 | 10.0 | 10.0 | 100.0% | 0 | 4.50s | 7,734 | 234 | 3,129 |
| 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 | 2.9 | 7.2 | 11.1% | 1 | 4.86s | 857 | 78 | 22,452 | |
| Laguna XS 2.1 | 3.5 | 4.4 | 33.3% | 2 | 67.48s | 843 | 17 | 91,430 |
| 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 | 5.0 | 10.0 | 0.0% | 0 | 2.69s | 528 | 93 | 3,609 | |
| Laguna XS 2.1 | 5.0 | 10.0 | 0.0% | 0 | 4.15s | 537 | 119 | 1,375 |
| 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 | 6.5 | 10.0 | 50.0% | 0 | 934ms | 401 | 27 | 1,770 | |
| Laguna XS 2.1 | 9.8 | 10.0 | 100.0% | 0 | 2.57s | 753 | 82 | 1,844 |
| 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 | 8.7 | 7.7 | 88.9% | 1 | 1.39s | 771 | 227 | 5,812 | |
| Laguna XS 2.1 | 5.3 | 10.0 | 33.3% | 0 | 3.43s | 771 | 357 | 3,355 |
| 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 | 3.06s | 9,130 | 283 | 4,484 | |
| Laguna XS 2.1 | 10.0 | 10.0 | 100.0% | 0 | 3.01s | 7,638 | 309 | 748 |
| 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 | 5.48s | 232 | 26 | 9,463 | |
| Laguna XS 2.1 | 3.0 | 10.0 | 0.0% | 0 | 10.88s | 255 | 16 | 4,437 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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