- Peringkat
- #338
- Total token output
- 9,709
- Waktu respons (rata-rata)
- 1.18s
- Total Biaya
- $0.033
Mercury 2 vs Laguna S 2.1 (low)
Laguna S 2.1 (low) unggul dalam skor rata-rata dengan 4.6 vs 4.4. Mercury 2 memiliki biaya benchmark lebih rendah di $0.033 vs $0.109. Mercury 2 lebih cepat di 1.18s vs 88.24s, dengan tingkat keberhasilan 23.2% vs 23.2%.
Model yang Dibandingkan
- Peringkat
- #324
- Total token output
- 495,517
- Waktu respons (rata-rata)
- 88.24s
- Total Biaya
- $0.109
Model yang direkomendasikan
Mercury 2
Its score stays close to the best score here (4.4 vs 4.6), while costing about 3.4x less than Laguna S 2.1 (low).
Perbandingan terperinci
| Metrik | Mercury 2 Mercury 2 none | Laguna S 2.1 Laguna S 2.1 low Tersedia gratis |
|---|---|---|
| Skor | 4.4 | 4.6 |
| Peringkat | #338 | #324 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 9.2 | 7.8 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 23.2% | 23.2% |
| Tes tidak stabil | 2 | 6 |
| Total Run | 69 | 69 |
| Biaya per hasil | 0.812 | 3.627 |
| Total Biaya | $0.033 | $0.109 |
| Harga input | $0.250 / 1M | $0.090 / 1M |
| Harga output | $0.750 / 1M | $0.180 / 1M |
| Total token input | 100,634 | 232,641 |
| Token output | 9,709 | 69,335 |
| Token penalaran | 0 | 426,182 |
| Waktu respons (rata-rata) | 1.18s | 88.24s |
| Waktu respons (maks) | 9.00s | 814.73s |
| Waktu respons (total) | 27.14s | 2029.57s |
| Parameter | ~100B | 118B total (8B aktif) |
| Ketersediaan | Tertutup | Bobot tersedia |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#338 Mercury 2
none- Biaya
- $0.002
- Waktu
- 1.8s
- Token
- 1,514 tok
#324 Laguna S 2.1
low- Biaya
- $0.001
- Waktu
- 6.6s
- Token
- 1,314 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 | 3.0 | 10.0 | 0.0% | 0 | 9.00s | 10,997 | 125 | 0 | |
| Laguna S 2.1 | 2.8 | 1.6 | 33.3% | 1 | 152.08s | 113,889 | 1,512 | 42,297 |
| 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 | 3.0 | 10.0 | 0.0% | 0 | 483ms | 631 | 286 | 0 | |
| Laguna S 2.1 | 3.4 | 7.4 | 8.3% | 1 | 80.66s | 616 | 311 | 43,722 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2 | 3.4 | 9.6 | 0.0% | 0 | 1.03s | 7,229 | 3,088 | 0 | |
| Laguna S 2.1 | 3.8 | 7.1 | 22.2% | 1 | 167.51s | 7,917 | 58,111 | 119,138 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2 | 3.0 | 10.0 | 0.0% | 0 | 2.56s | 65,412 | 5,256 | 0 | |
| Laguna S 2.1 | 3.2 | 5.2 | 16.7% | 1 | 412.50s | 92,870 | 8,211 | 174,584 |
| 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 | 7.3 | 5.9 | 83.3% | 1 | 667ms | 6,362 | 180 | 0 | |
| Laguna S 2.1 | 10.0 | 10.0 | 100.0% | 0 | 2.76s | 7,689 | 243 | 1,981 |
| 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 | 5.9 | 7.2 | 55.6% | 1 | 500ms | 1,717 | 66 | 0 | |
| Laguna S 2.1 | 3.0 | 10.0 | 0.0% | 0 | 2.46s | 771 | 24 | 2,606 |
| 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 | 4.8 | 10.0 | 0.0% | 0 | 628ms | 495 | 159 | 0 | |
| Laguna S 2.1 | 4.8 | 10.0 | 0.0% | 0 | 650ms | 513 | 120 | 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 | 6.5 | 10.0 | 50.0% | 0 | 551ms | 691 | 82 | 0 | |
| Laguna S 2.1 | 4.3 | 6.8 | 16.7% | 1 | 423ms | 702 | 60 | 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 | 3.1 | 10.0 | 0.0% | 0 | 535ms | 694 | 251 | 0 | |
| Laguna S 2.1 | 3.1 | 7.3 | 11.1% | 1 | 2.70s | 699 | 447 | 1,444 |
| 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 | 10.0 | 10.0 | 100.0% | 0 | 1.27s | 6,193 | 197 | 0 | |
| Laguna S 2.1 | 10.0 | 10.0 | 100.0% | 0 | 2.36s | 6,747 | 286 | 417 |
| 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 | 3.0 | 10.0 | 0.0% | 0 | 548ms | 213 | 19 | 0 | |
| Laguna S 2.1 | 3.0 | 10.0 | 0.0% | 0 | 202.49s | 228 | 10 | 39,993 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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