- Peringkat
- #290
- Total token output
- 31,975
- Waktu respons (rata-rata)
- 1.31s
- Total Biaya
- $0.011
Mercury 2.5 Preview (low) vs Laguna S 2.1
Mercury 2.5 Preview (low) unggul dalam skor rata-rata dengan 5.0 vs 4.5. Mercury 2.5 Preview (low) memiliki biaya benchmark lebih rendah di $0.011 vs $0.022. Mercury 2.5 Preview (low) lebih cepat di 1.31s vs 11.67s, dengan tingkat keberhasilan 47.0% vs 15.2%.
Model yang Dibandingkan
- Peringkat
- #315
- Total token output
- 57,634
- Waktu respons (rata-rata)
- 11.67s
- Total Biaya
- $0.022
Model yang direkomendasikan
Mercury 2.5 Preview (low)
It has the best score here (5.0), while costing about 2.1x less than Laguna S 2.1.
Perbandingan terperinci
| Metrik | Mercury 2.5 Preview Mercury 2.5 Preview low | Laguna S 2.1 Laguna S 2.1 none Tersedia gratis |
|---|---|---|
| Skor | 5.0 | 4.5 |
| Peringkat | #290 | #315 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 7.0 | 8.8 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 47.0% | 15.2% |
| Tes tidak stabil | 8 | 3 |
| Total Run | 66 | 66 |
| Biaya per hasil | 0.169 | 1.205 |
| Total Biaya | $0.011 | $0.022 |
| Harga input | $0.040 / 1M | $0.090 / 1M |
| Harga output | $0.150 / 1M | $0.180 / 1M |
| Total token input | 133,525 | 125,604 |
| Token output | 7,259 | 57,634 |
| Token penalaran | 24,716 | 0 |
| Waktu respons (rata-rata) | 1.31s | 11.67s |
| Waktu respons (maks) | 7.29s | 200.52s |
| Waktu respons (total) | 28.77s | 256.71s |
| 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.
#290 Mercury 2.5 Preview
low- Biaya
- $0.001
- Waktu
- 1.5s
- Token
- 1,169 tok
#315 Laguna S 2.1
none- Biaya
- $0.001
- Waktu
- 7.6s
- Token
- 1,345 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 | 5.6 | 3.8 | 66.7% | 3 | 759ms | 786 | 290 | 3,019 | |
| Laguna S 2.1 | 3.1 | 7.9 | 8.3% | 1 | 835ms | 672 | 877 | 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 Preview | 5.5 | 10.0 | 33.3% | 0 | 972ms | 7,794 | 695 | 2,263 | |
| Laguna S 2.1 | 3.4 | 9.7 | 0.0% | 0 | 550ms | 7,917 | 424 | 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 Preview | 3.0 | 10.0 | 0.0% | 0 | 4.77s | 110,517 | 5,013 | 9,661 | |
| Laguna S 2.1 | 2.9 | 5.8 | 16.7% | 1 | 21.62s | 99,668 | 10,893 | 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 Preview | 6.3 | 5.8 | 66.7% | 1 | 1.12s | 8,309 | 611 | 1,521 | |
| Laguna S 2.1 | 10.0 | 10.0 | 100.0% | 0 | 537ms | 7,689 | 237 | 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 Preview | 4.1 | 4.4 | 44.5% | 2 | 836ms | 849 | 45 | 2,247 | |
| Laguna S 2.1 | 3.0 | 10.0 | 0.0% | 0 | 337ms | 771 | 18 | 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 Preview | 5.0 | 10.0 | 0.0% | 0 | 1.05s | 540 | 105 | 749 | |
| Laguna S 2.1 | 5.0 | 10.0 | 0.0% | 0 | 815ms | 513 | 166 | 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 Preview | 6.3 | 10.0 | 50.0% | 0 | 1.60s | 745 | 99 | 1,492 | |
| Laguna S 2.1 | 4.3 | 9.9 | 0.0% | 0 | 566ms | 702 | 54 | 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 Preview | 8.2 | 7.2 | 88.9% | 1 | 710ms | 777 | 312 | 2,271 | |
| Laguna S 2.1 | 3.1 | 10.0 | 0.0% | 0 | 828ms | 699 | 307 | 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 Preview | 2.8 | 1.6 | 33.3% | 1 | 1.57s | 2,983 | 76 | 739 | |
| Laguna S 2.1 | 4.7 | 1.6 | 66.7% | 1 | 1.45s | 6,745 | 259 | 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 Preview | 3.0 | 10.0 | 0.0% | 0 | 591ms | 225 | 13 | 754 | |
| Laguna S 2.1 | 3.0 | 10.0 | 0.0% | 0 | 200.52s | 228 | 44,399 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
Mercury 2.5 PreviewlowvsMiniMax M2.7mediumDeepSeek V3.2nonevsMercury 2.5 PreviewlowMiniMax M2.5mediumvsLaguna S 2.1noneTersedia gratisLaguna S 2.1noneTersedia gratisvsQwen3 Coder NextmediumNorth Mini CodenoneTersedia gratisvsMercury 2.5 PreviewlowMercury 2.5 PreviewlowvsGPT-4o-mininoneMercury 2.5 PreviewlowvsQwen3.5-9BnoneGranite 4.2 8BhighvsLaguna S 2.1noneTersedia gratisMercury 2.5 PreviewlowvsMiMo-V2.5noneMercury 2.5 PreviewlowvsQwen3 Coder NextnoneMercury 2.5 PreviewlowvsMistral Small 4mediumMercury 2.5 PreviewlowvsMistral Small 4none