- Peringkat
- #192
- Total token output
- 776,174
- Waktu respons (rata-rata)
- 59.92s
- Total Biaya
- $0.812
Qwen3.6 35B A3B (medium) vs GLM 5.1
Skor rata-rata hampir imbang di 6.5 vs 6.5. GLM 5.1 memiliki biaya benchmark lebih rendah di $0.311 vs $0.812. GLM 5.1 lebih cepat di 11.10s vs 59.92s, dengan tingkat keberhasilan 58.0% vs 47.8%.
Model yang Dibandingkan
- Peringkat
- #196
- Total token output
- 20,076
- Waktu respons (rata-rata)
- 11.10s
- Total Biaya
- $0.311
Model yang direkomendasikan
GLM 5.1
It has the best score here (6.5), while costing about 2.6x less than Qwen3.6 35B A3B (medium).
Perbandingan terperinci
| Metrik | Qwen3.6 35B A3B Qwen3.6 35B A3B medium | GLM 5.1 GLM 5.1 none |
|---|---|---|
| Skor | 6.5 | 6.5 |
| Peringkat | #192 | #196 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 9.0 | 8.2 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 58.0% | 47.8% |
| Tes tidak stabil | 3 | 5 |
| Total Run | 69 | 69 |
| Biaya per hasil | 6.732 | 3.478 |
| Total Biaya | $0.812 | $0.311 |
| Harga input | $0.150 / 1M | $0.965 / 1M |
| Harga output | $1.000 / 1M | $3.032 / 1M |
| Total token input | 282,192 | 258,956 |
| Token output | 75,306 | 20,076 |
| Token penalaran | 700,868 | 0 |
| Waktu respons (rata-rata) | 59.92s | 11.10s |
| Waktu respons (maks) | 817.57s | 107.19s |
| Waktu respons (total) | 1258.32s | 255.39s |
| Parameter | 35B total (3B aktif) | 744B total (40B aktif) |
| Ketersediaan | Sumber terbuka | Sumber terbuka |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#192 Qwen3.6 35B A3B
medium
Reached the allocated time limit (300 seconds) without receiving showcase output.
- Biaya
- $0.000
- Waktu
- 300.0s
- Token
- 0 tok
#196 GLM 5.1
none
Reached the allocated time limit (300 seconds) without receiving showcase output.
- Biaya
- $0.000
- Waktu
- 300.0s
- Token
- 0 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 |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 6.1 | 3.1 | 66.7% | 1 | 88.48s | 197,044 | 13,570 | 19,312 | |
| GLM 5.1 | 10.0 | 10.0 | 100.0% | 0 | 107.19s | 134,737 | 5,683 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 10.0 | 10.0 | 100.0% | 0 | 6.02s | 672 | 1,154 | 12,385 | |
| GLM 5.1 | 4.0 | 6.3 | 25.0% | 2 | 2.11s | 555 | 305 | 0 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 7.7 | 10.0 | 66.7% | 0 | 50.55s | 5,051 | 7,929 | 37,223 | |
| GLM 5.1 | 3.9 | 9.7 | 0.0% | 0 | 4.96s | 7,256 | 525 | 0 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 3.0 | 10.0 | 0.0% | 0 | 817.57s | 68,754 | 42,187 | 548,547 | |
| GLM 5.1 | 2.8 | 1.8 | 33.3% | 2 | 46.88s | 99,907 | 12,768 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 10.0 | 10.0 | 100.0% | 0 | 12.99s | 7,776 | 2,591 | 9,968 | |
| GLM 5.1 | 10.0 | 10.0 | 100.0% | 0 | 1.08s | 7,107 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 2.9 | 4.4 | 22.2% | 2 | 25.39s | 780 | 6,110 | 41,906 | |
| GLM 5.1 | 5.3 | 7.2 | 44.4% | 1 | 2.27s | 697 | 24 | 0 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 4.4 | 9.9 | 0.0% | 0 | 8.66s | 516 | 129 | 4,569 | |
| GLM 5.1 | 5.0 | 10.0 | 0.0% | 0 | 790ms | 477 | 39 | 0 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 10.0 | 10.0 | 100.0% | 0 | 7.50s | 699 | 219 | 7,404 | |
| GLM 5.1 | 9.8 | 10.0 | 100.0% | 0 | 1.98s | 636 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 8.0 | 10.0 | 66.7% | 0 | 5.95s | 696 | 655 | 9,228 | |
| GLM 5.1 | 7.7 | 10.0 | 66.7% | 0 | 1.45s | 609 | 151 | 0 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 3.0 | 10.0 | 0.0% | 0 | 0ms | 0 | 0 | 0 | |
| GLM 5.1 | 10.0 | 10.0 | 100.0% | 0 | 10.68s | 6,789 | 300 | 0 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 3.0 | 10.0 | 0.0% | 0 | 32.90s | 204 | 762 | 10,326 | |
| GLM 5.1 | 3.0 | 10.0 | 0.0% | 0 | 2.34s | 186 | 11 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
KAT-Coder-Pro V2.5highvsGLM 5.1noneGrok 4.3mediumvsGLM 5.1noneMercury 2.5 PreviewhighvsQwen3.6 35B A3BmediumLaguna XS 2.1mediumTersedia gratisvsGLM 5.1noneMercury 2.5highvsQwen3.6 35B A3BmediumMercury 2.5highvsGLM 5.1noneQwen3.6 35B A3BmediumvsGLM 5.3lowMercury 2.5 PreviewhighvsGLM 5.1noneKAT-Coder-Pro V2.5lowvsQwen3.6 35B A3BmediumSolar Pro 4mediumvsGLM 5.1noneQwen3.6 35B A3BmediumvsGLM 5.2noneKAT-Coder-Pro V2.5highvsQwen3.6 35B A3Bmedium