- Peringkat
- #100
- Total token output
- 20,670
- Waktu respons (rata-rata)
- 7.85s
- Total Biaya
- $0.492
Qwen3.7 Max vs GLM 5.3 (high)
Qwen3.7 Max unggul dalam skor rata-rata dengan 7.9 vs 7.8. Qwen3.7 Max memiliki biaya benchmark lebih rendah di $0.492 vs $0.610. Qwen3.7 Max lebih cepat di 7.85s vs 28.38s, dengan tingkat keberhasilan 69.6% vs 75.4%.
Model yang Dibandingkan
- Peringkat
- #105
- Total token output
- 68,482
- Waktu respons (rata-rata)
- 28.38s
- Total Biaya
- $0.610
Model yang direkomendasikan
Qwen3.7 Max
It has the best score here (7.9), while responding about 3.6x faster than GLM 5.3 (high).
Perbandingan terperinci
| Metrik | Qwen3.7 Max Qwen3.7 Max none | GLM 5.3 GLM 5.3 high |
|---|---|---|
| Skor | 7.9 | 7.8 |
| Peringkat | #100 | #105 |
| Keandalan | 9.9 | 10.0 |
| Konsistensi | 10.0 | 7.6 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 69.6% | 75.4% |
| Tes tidak stabil | 0 | 7 |
| Total Run | 69 | 69 |
| Biaya per hasil | 3.070 | 4.351 |
| Total Biaya | $0.492 | $0.610 |
| Harga input | $1.475 / 1M | $1.400 / 1M |
| Harga output | $4.425 / 1M | $4.400 / 1M |
| Total token input | 243,553 | 219,811 |
| Token output | 20,670 | 8,811 |
| Token penalaran | 0 | 59,671 |
| Waktu respons (rata-rata) | 7.85s | 28.38s |
| Waktu respons (maks) | 80.34s | 159.91s |
| Waktu respons (total) | 180.65s | 652.78s |
| Parameter | ~1T total (~40B aktif) | 744B total (40B aktif) |
| Ketersediaan | Tertutup | Tertutup |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#100 Qwen3.7 Max
none- Biaya
- $0.046
- Waktu
- 195.0s
- Token
- 12,171 tok
#105 GLM 5.3
high- Biaya
- $0.085
- Waktu
- 362.5s
- Token
- 19,310 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 |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.7 Max | 10.0 | 10.0 | 100.0% | 0 | 80.34s | 147,561 | 8,224 | 0 | |
| GLM 5.3 | 10.0 | 10.0 | 100.0% | 0 | 40.72s | 132,210 | 2,805 | 2,010 |
| Trik anti-AI | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.7 Max | 6.5 | 10.0 | 50.0% | 0 | 1.08s | 696 | 242 | 0 | |
| GLM 5.3 | 10.0 | 10.0 | 100.0% | 0 | 3.72s | 639 | 237 | 481 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.7 Max | 5.5 | 10.0 | 33.3% | 0 | 1.35s | 7,911 | 582 | 0 | |
| GLM 5.3 | 6.6 | 5.0 | 66.7% | 2 | 18.89s | 7,317 | 473 | 8,190 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.7 Max | 6.5 | 10.0 | 50.0% | 0 | 37.23s | 68,425 | 10,623 | 0 | |
| GLM 5.3 | 6.4 | 5.8 | 66.7% | 1 | 63.96s | 62,821 | 3,936 | 12,203 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.7 Max | 10.0 | 10.0 | 100.0% | 0 | 1.35s | 7,794 | 243 | 0 | |
| GLM 5.3 | 10.0 | 10.0 | 100.0% | 0 | 3.55s | 7,149 | 210 | 189 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.7 Max | 7.7 | 10.0 | 66.7% | 0 | 1.24s | 798 | 15 | 0 | |
| GLM 5.3 | 2.9 | 4.4 | 22.2% | 2 | 112.33s | 759 | 238 | 33,423 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.7 Max | 10.0 | 10.0 | 100.0% | 0 | 1.04s | 522 | 120 | 0 | |
| GLM 5.3 | 6.1 | 3.1 | 66.7% | 1 | 8.00s | 498 | 192 | 407 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.7 Max | 10.0 | 10.0 | 100.0% | 0 | 943ms | 711 | 72 | 0 | |
| GLM 5.3 | 9.8 | 10.0 | 100.0% | 0 | 3.62s | 678 | 72 | 182 |
| Pemecahan teka-teki | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.7 Max | 10.0 | 10.0 | 100.0% | 0 | 1.13s | 714 | 314 | 0 | |
| GLM 5.3 | 8.2 | 7.2 | 88.9% | 1 | 4.74s | 672 | 332 | 452 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.7 Max | 10.0 | 10.0 | 100.0% | 0 | 3.92s | 8,211 | 222 | 0 | |
| GLM 5.3 | 10.0 | 10.0 | 100.0% | 0 | 17.05s | 6,861 | 231 | 91 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.7 Max | 3.0 | 10.0 | 0.0% | 0 | 856ms | 210 | 13 | 0 | |
| GLM 5.3 | 3.0 | 10.0 | 0.0% | 0 | 21.98s | 207 | 85 | 2,043 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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