- Peringkat
- #259
- Total token output
- 82,585
- Waktu respons (rata-rata)
- 3.51s
- Total Biaya
- $0.018
Mercury 2.5 Preview vs GPT-4o-mini
Skor rata-rata hampir imbang di 4.9 vs 5.0. GPT-4o-mini memiliki biaya benchmark lebih rendah di $0.010 vs $0.018. GPT-4o-mini lebih cepat di 1.92s vs 3.51s, dengan tingkat keberhasilan 30.3% vs 22.7%.
- Peringkat
- #257
- Total token output
- 2,913
- Waktu respons (rata-rata)
- 1.92s
- Total Biaya
- $0.010
Model yang direkomendasikan
GPT-4o-mini
It has the best score here (5.0), while costing about 1.8x less than Mercury 2.5 Preview.
Perbandingan terperinci
| Metrik | Mercury 2.5 Preview Mercury 2.5 Preview none | GPT-4o-mini GPT-4o-mini none |
|---|---|---|
| Skor | 4.9 | 5.0 |
| Peringkat | #259 | #257 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 8.3 | 9.9 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 30.3% | 22.7% |
| Tes tidak stabil | 5 | 0 |
| Total Run | 66 | 66 |
| Biaya per hasil | 0.440 | 0.195 |
| Total Biaya | $0.018 | $0.010 |
| Harga input | $0.040 / 1M | $0.150 / 1M |
| Harga output | $0.150 / 1M | $0.600 / 1M |
| Total token input | 130,296 | 53,145 |
| Token output | 82,585 | 2,913 |
| Token penalaran | 0 | 0 |
| Waktu respons (rata-rata) | 3.51s | 1.92s |
| Waktu respons (maks) | 60.70s | 7.58s |
| Waktu respons (total) | 77.28s | 30.71s |
| Parameter | ~100B | ~8B |
| Ketersediaan | Tertutup | Tertutup |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#259 Mercury 2.5 Preview
none
SVG tidak valid
- Biaya
- $0.001
- Waktu
- 3.3s
- Token
- 3,122 tok
#257 GPT-4o-mini
none- Biaya
- $0.001
- Waktu
- 6.6s
- Token
- 742 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 | 3.8 | 8.3 | 16.7% | 1 | 655ms | 812 | 256 | 0 | |
| GPT-4o-mini | 4.8 | 10.0 | 25.0% | 0 | 1.34s | 618 | 186 | 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 | 4.7 | 7.9 | 22.2% | 1 | 459ms | 7,850 | 650 | 0 | |
| GPT-4o-mini | 3.2 | 9.6 | 0.0% | 0 | 1.63s | 7,314 | 367 | 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 | 31.28s | 101,129 | 80,273 | 0 | |
| GPT-4o-mini | 3.0 | 10.0 | 0.0% | 0 | 6.32s | 29,916 | 1,497 | 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 | 1.04s | 8,333 | 672 | 0 | |
| GPT-4o-mini | 10.0 | 10.0 | 100.0% | 0 | 1.27s | 7,161 | 183 | 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 | 3.6 | 7.2 | 22.2% | 1 | 631ms | 875 | 40 | 0 | |
| GPT-4o-mini | 3.0 | 10.0 | 0.0% | 0 | 743ms | 741 | 17 | 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 | 482ms | 544 | 85 | 0 | |
| GPT-4o-mini | 4.0 | 10.0 | 0.0% | 0 | 909ms | 480 | 66 | 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 | 1.26s | 753 | 73 | 0 | |
| GPT-4o-mini | 6.3 | 10.0 | 50.0% | 0 | 1.11s | 666 | 69 | 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 | 5.6 | 7.4 | 44.4% | 1 | 684ms | 796 | 292 | 0 | |
| GPT-4o-mini | 3.5 | 10.0 | 0.0% | 0 | 1.21s | 651 | 308 | 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 | 10.0 | 10.0 | 100.0% | 0 | 1.29s | 8,969 | 229 | 0 | |
| GPT-4o-mini | 10.0 | 10.0 | 100.0% | 0 | 2.51s | 5,400 | 205 | 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 | 419ms | 235 | 15 | 0 | |
| GPT-4o-mini | 3.0 | 10.0 | 0.0% | 0 | 794ms | 198 | 15 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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