- Peringkat
- #100
- Total token output
- 20,670
- Waktu respons (rata-rata)
- 7.85s
- Total Biaya
- $0.492
Qwen3.7 Max vs GLM 5.3 FlashX (max)
Skor rata-rata hampir imbang di 7.9 vs 7.9. Qwen3.7 Max memiliki biaya benchmark lebih rendah di $0.492 vs $0.623. Qwen3.7 Max lebih cepat di 7.85s vs 43.97s, dengan tingkat keberhasilan 69.6% vs 78.3%.
Model yang Dibandingkan
- Peringkat
- #97
- Total token output
- 402,765
- Waktu respons (rata-rata)
- 43.97s
- Total Biaya
- $0.623
Model yang direkomendasikan
Qwen3.7 Max
It has the best score here (7.9), while responding about 5.6x faster than GLM 5.3 FlashX (max).
Perbandingan terperinci
| Metrik | Qwen3.7 Max Qwen3.7 Max none | GLM 5.3 FlashX GLM 5.3 FlashX max |
|---|---|---|
| Skor | 7.9 | 7.9 |
| Peringkat | #100 | #97 |
| Keandalan | 9.9 | 10.0 |
| Konsistensi | 10.0 | 8.0 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 69.6% | 78.3% |
| Tes tidak stabil | 0 | 6 |
| Total Run | 69 | 69 |
| Biaya per hasil | 3.070 | 4.153 |
| Total Biaya | $0.492 | $0.623 |
| Harga input | $1.475 / 1M | $0.370 / 1M |
| Harga output | $4.425 / 1M | $1.250 / 1M |
| Total token input | 243,553 | 322,894 |
| Token output | 20,670 | 8,010 |
| Token penalaran | 0 | 394,755 |
| Waktu respons (rata-rata) | 7.85s | 43.97s |
| Waktu respons (maks) | 80.34s | 390.70s |
| Waktu respons (total) | 180.65s | 1011.29s |
| Parameter | ~1T total (~40B aktif) | 320B total (18B 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
#97 GLM 5.3 FlashX
max- Biaya
- $0.046
- Waktu
- 251.3s
- Token
- 36,769 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 FlashX | 6.1 | 3.1 | 66.7% | 1 | 104.77s | 221,683 | 1,709 | 25,322 |
| 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 FlashX | 10.0 | 10.0 | 100.0% | 0 | 2.65s | 639 | 301 | 2,210 |
| 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 FlashX | 8.2 | 7.2 | 88.9% | 1 | 24.61s | 7,317 | 463 | 36,503 |
| 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 FlashX | 8.2 | 6.9 | 66.7% | 1 | 45.23s | 76,431 | 3,485 | 35,762 |
| 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 FlashX | 10.0 | 10.0 | 100.0% | 0 | 3.38s | 7,149 | 223 | 2,262 |
| 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 FlashX | 3.5 | 4.4 | 33.3% | 2 | 224.00s | 759 | 583 | 279,058 |
| 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 FlashX | 10.0 | 10.0 | 100.0% | 0 | 5.01s | 498 | 209 | 1,290 |
| 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 FlashX | 9.9 | 10.0 | 100.0% | 0 | 2.23s | 678 | 72 | 1,032 |
| 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 FlashX | 8.2 | 7.7 | 77.8% | 1 | 3.88s | 672 | 456 | 2,848 |
| 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 FlashX | 10.0 | 10.0 | 100.0% | 0 | 9.39s | 6,861 | 231 | 712 |
| 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 FlashX | 3.0 | 10.0 | 0.0% | 0 | 22.41s | 207 | 278 | 7,756 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
Claude Fable 5.1highvsGLM 5.3 FlashXmaxQwen3.5-27BmediumvsGLM 5.3 FlashXmaxGPT-5.4 MinimediumvsGLM 5.3 FlashXmaxGPT-5.4 MinimediumvsQwen3.7 MaxnoneGPT-5.6 TerralowvsGLM 5.3 FlashXmaxClaude Fable 5.1highvsQwen3.7 MaxnoneGemini 3.5 FlashmediumvsQwen3.7 MaxnoneGPT-5.6 TerralowvsQwen3.7 MaxnoneGemini 3.8 FlashmediumvsGLM 5.3 FlashXmaxGPT-5.4 NanomediumvsGLM 5.3 FlashXmaxQwen3.7 MaxnonevsMiMo-V2.6-FlashmediumGemini 3.5 FlashmediumvsGLM 5.3 FlashXmax