- Peringkat
- #173
- Total token output
- 150,107
- Waktu respons (rata-rata)
- 6.66s
- Total Biaya
- $0.039
Mercury 2.5 Preview (medium) vs GLM 5.3 (low)
Mercury 2.5 Preview (medium) unggul dalam skor rata-rata dengan 6.8 vs 6.5. Mercury 2.5 Preview (medium) memiliki biaya benchmark lebih rendah di $0.039 vs $0.471. Mercury 2.5 Preview (medium) lebih cepat di 6.66s vs 15.18s, dengan tingkat keberhasilan 66.7% vs 63.8%.
Model yang Dibandingkan
- Peringkat
- #199
- Total token output
- 28,106
- Waktu respons (rata-rata)
- 15.18s
- Total Biaya
- $0.471
Model yang direkomendasikan
Mercury 2.5 Preview (medium)
It has the best score here (6.8), while costing about 12.3x less than GLM 5.3 (low).
Perbandingan terperinci
| Metrik | Mercury 2.5 Preview Mercury 2.5 Preview medium | GLM 5.3 GLM 5.3 low |
|---|---|---|
| Skor | 6.8 | 6.5 |
| Peringkat | #173 | #199 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 9.6 | 8.3 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 66.7% | 63.8% |
| Tes tidak stabil | 1 | 5 |
| Total Run | 69 | 69 |
| Biaya per hasil | 0.244 | 3.923 |
| Total Biaya | $0.039 | $0.471 |
| Harga input | $0.040 / 1M | $1.400 / 1M |
| Harga output | $0.150 / 1M | $4.400 / 1M |
| Harga baca cache | T/A | $0.140 / 1M |
| Harga tulis cache | T/A | T/A |
| Total token input | 397,291 | 247,871 |
| Token output | 6,355 | 10,791 |
| Token penalaran | 143,752 | 17,315 |
| Waktu respons (rata-rata) | 6.66s | 15.18s |
| Waktu respons (maks) | 74.63s | 83.60s |
| Waktu respons (total) | 153.29s | 349.06s |
| Parameter | ~100B | 744B total (40B aktif) |
| Ketersediaan | Tertutup | Tertutup |
Harga cache berlaku untuk token input. Pembacaan memakai kembali prompt tersimpan; penulisan menyimpannya dan dapat menambah biaya. Token output menggunakan harga output.
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#173 Mercury 2.5 Preview
medium- Biaya
- $0.001
- Waktu
- 2.7s
- Token
- 2,241 tok
#199 GLM 5.3
low- Biaya
- $0.007
- Waktu
- 28.4s
- Token
- 1,599 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 | 3.9 | 9.6 | 0.0% | 0 | 74.63s | 284,578 | 919 | 22,154 | |
| GLM 5.3 | 5.2 | 3.2 | 33.3% | 1 | 48.84s | 142,882 | 2,259 | 1,039 |
| 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 | 1.43s | 781 | 203 | 7,921 | |
| GLM 5.3 | 6.9 | 7.9 | 66.7% | 1 | 4.16s | 639 | 266 | 249 |
| 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 | 7.8 | 10.0 | 66.7% | 0 | 3.86s | 7,839 | 552 | 22,126 | |
| GLM 5.3 | 6.2 | 6.9 | 55.6% | 1 | 21.02s | 7,317 | 368 | 6,764 |
| 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 | 6.5 | 10.0 | 50.0% | 0 | 13.86s | 92,663 | 3,607 | 41,588 | |
| GLM 5.3 | 3.8 | 5.8 | 33.3% | 1 | 53.02s | 80,209 | 6,729 | 5,209 |
| 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 | 2.77s | 8,292 | 514 | 11,354 | |
| GLM 5.3 | 10.0 | 10.0 | 100.0% | 0 | 3.42s | 7,149 | 210 | 56 |
| 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 | 5.3 | 7.2 | 44.4% | 1 | 3.72s | 853 | 62 | 17,120 | |
| GLM 5.3 | 5.3 | 10.0 | 33.3% | 0 | 19.23s | 759 | 35 | 3,384 |
| 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 | 2.09s | 538 | 99 | 3,375 | |
| GLM 5.3 | 4.1 | 2.7 | 33.3% | 1 | 4.70s | 498 | 163 | 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 | 1.35s | 744 | 96 | 3,987 | |
| GLM 5.3 | 10.0 | 10.0 | 100.0% | 0 | 3.40s | 678 | 72 | 81 |
| 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 | 1.87s | 771 | 274 | 7,323 | |
| GLM 5.3 | 10.0 | 10.0 | 100.0% | 0 | 4.20s | 672 | 389 | 225 |
| 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 | 2.37s | 0 | 0 | 0 | |
| GLM 5.3 | 10.0 | 10.0 | 100.0% | 0 | 18.45s | 6,861 | 231 | 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 | 4.13s | 232 | 29 | 6,804 | |
| GLM 5.3 | 3.0 | 10.0 | 0.0% | 0 | 7.42s | 207 | 69 | 308 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
Mercury 2.5 PreviewmediumvsInklinglowTersedia gratisMercury 2.5highvsGLM 5.3lowMercury 2.5 PreviewmediumvsGPT-6 SolnoneMercury 2.5 PreviewhighvsGLM 5.3lowKAT-Coder-Pro V2.5highvsGLM 5.3lowGrok 4.3mediumvsGLM 5.3lowQwen3.6 35B A3BmediumvsGLM 5.3lowLaguna XS 2.1mediumTersedia gratisvsGLM 5.3lowQwen3.5-122B-A10BnonevsGLM 5.3lowClaude Sonnet 5.5mediumvsGLM 5.3lowGemini 3 Flash PreviewnonevsGLM 5.3lowClaude Opus 4.8nonevsMercury 2.5 Previewmedium