- Peringkat
- #193
- Total token output
- 180,597
- Waktu respons (rata-rata)
- 7.61s
- Total Biaya
- $0.039
Mercury 2.5 Preview (high) vs GLM 5.2
Skor rata-rata hampir imbang di 6.5 vs 6.5. Mercury 2.5 Preview (high) memiliki biaya benchmark lebih rendah di $0.039 vs $0.161. Mercury 2.5 Preview (high) lebih cepat di 7.61s vs 11.51s, dengan tingkat keberhasilan 65.2% vs 62.3%.
Model yang Dibandingkan
- Peringkat
- #197
- Total token output
- 19,230
- Waktu respons (rata-rata)
- 11.51s
- Total Biaya
- $0.161
Model yang direkomendasikan
Mercury 2.5 Preview (high)
It has the best score here (6.5), while costing about 4.2x less than GLM 5.2.
Perbandingan terperinci
| Metrik | Mercury 2.5 Preview Mercury 2.5 Preview high | GLM 5.2 GLM 5.2 none |
|---|---|---|
| Skor | 6.5 | 6.5 |
| Peringkat | #193 | #197 |
| Keandalan | 9.9 | 10.0 |
| Konsistensi | 8.0 | 9.0 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 65.2% | 62.3% |
| Tes tidak stabil | 6 | 3 |
| Total Run | 69 | 69 |
| Biaya per hasil | 0.319 | 1.825 |
| Total Biaya | $0.039 | $0.161 |
| Harga input | $0.000 / 1M | $0.325 / 1M |
| Harga output | $0.000 / 1M | $3.990 / 1M |
| Total token input | 298,512 | 257,698 |
| Token output | 3,178 | 19,230 |
| Token penalaran | 177,419 | 0 |
| Waktu respons (rata-rata) | 7.61s | 11.51s |
| Waktu respons (maks) | 86.84s | 79.65s |
| Waktu respons (total) | 175.08s | 264.72s |
| Parameter | ~100B | 744B total (40B aktif) |
| Ketersediaan | Tertutup | Sumber terbuka |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#193 Mercury 2.5 Preview
high- Biaya
- $0.001
- Waktu
- 4.5s
- Token
- 3,851 tok
#197 GLM 5.2
none- Biaya
- $0.033
- Waktu
- 87.7s
- Token
- 7,455 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 Preview | 6.1 | 3.1 | 66.7% | 1 | 86.84s | 182,753 | 616 | 16,476 | |
| GLM 5.2 | 5.2 | 3.2 | 33.3% | 1 | 52.34s | 145,240 | 4,886 | 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 Preview | 10.0 | 10.0 | 100.0% | 0 | 1.09s | 785 | 181 | 7,008 | |
| GLM 5.2 | 8.3 | 10.0 | 75.0% | 0 | 3.70s | 567 | 313 | 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 | 6.7 | 7.8 | 55.6% | 1 | 6.13s | 7,751 | 485 | 42,569 | |
| GLM 5.2 | 3.7 | 9.5 | 0.0% | 0 | 7.55s | 7,263 | 1,958 | 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 | 3.8 | 1.6 | 50.0% | 2 | 14.36s | 95,789 | 765 | 54,789 | |
| GLM 5.2 | 6.9 | 5.9 | 66.7% | 1 | 50.17s | 88,074 | 11,016 | 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 | 10.0 | 10.0 | 100.0% | 0 | 2.24s | 8,292 | 560 | 8,522 | |
| GLM 5.2 | 10.0 | 10.0 | 100.0% | 0 | 7.17s | 7,113 | 204 | 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 | 2.9 | 4.4 | 22.2% | 2 | 5.68s | 857 | 67 | 25,958 | |
| GLM 5.2 | 7.7 | 10.0 | 66.7% | 0 | 6.35s | 705 | 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 Preview | 5.1 | 10.0 | 0.0% | 0 | 1.88s | 542 | 94 | 3,300 | |
| GLM 5.2 | 6.1 | 3.1 | 66.7% | 1 | 4.42s | 480 | 82 | 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 | 9.8 | 10.0 | 100.0% | 0 | 1.05s | 741 | 94 | 3,777 | |
| GLM 5.2 | 9.8 | 10.0 | 100.0% | 0 | 3.84s | 642 | 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 Preview | 10.0 | 10.0 | 100.0% | 0 | 1.21s | 774 | 292 | 6,066 | |
| GLM 5.2 | 7.7 | 10.0 | 66.7% | 0 | 3.31s | 618 | 265 | 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 | 3.0 | 10.0 | 0.0% | 0 | 2.25s | 0 | 0 | 0 | |
| GLM 5.2 | 10.0 | 10.0 | 100.0% | 0 | 15.76s | 6,807 | 400 | 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 | 5.41s | 228 | 24 | 8,954 | |
| GLM 5.2 | 3.0 | 10.0 | 0.0% | 0 | 3.41s | 189 | 13 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
KAT-Coder-Pro V2.5highvsGLM 5.2noneGrok 4.3mediumvsGLM 5.2noneLaguna XS 2.1mediumTersedia gratisvsGLM 5.2noneMercury 2.5 PreviewhighvsQwen3.6 35B A3BmediumMercury 2.5 PreviewhighvsGLM 5.3lowClaude Sonnet 5.5mediumvsMercury 2.5 PreviewhighMercury 2.5highvsGLM 5.2noneMercury 2.5 PreviewhighvsGLM 5.1noneMercury 2.5 PreviewhighvsGrok 4.3mediumSolar Pro 4mediumvsGLM 5.2noneMercury 2.5 PreviewhighvsLaguna XS 2.1mediumTersedia gratisQwen3.6 35B A3BmediumvsGLM 5.2none