- Peringkat
- #221
- Total token output
- 143,160
- Waktu respons (rata-rata)
- 70.08s
- Total Biaya
- $0.145
DeepSeek V3.2 (medium) vs Qwen3.6 27B
Qwen3.6 27B unggul dalam skor rata-rata dengan 6.3 vs 6.3. DeepSeek V3.2 (medium) memiliki biaya benchmark lebih rendah di $0.145 vs $0.147. Qwen3.6 27B lebih cepat di 12.71s vs 70.08s, dengan tingkat keberhasilan 62.3% vs 47.8%.
Model yang Dibandingkan
- Peringkat
- #213
- Total token output
- 20,816
- Waktu respons (rata-rata)
- 12.71s
- Total Biaya
- $0.147
Model yang direkomendasikan
Qwen3.6 27B
It has the best score here (6.3), while responding about 5.5x faster than DeepSeek V3.2 (medium).
Perbandingan terperinci
| Metrik | DeepSeek V3.2 DeepSeek V3.2 medium | Qwen3.6 27B Qwen3.6 27B none |
|---|---|---|
| Skor | 6.3 | 6.3 |
| Peringkat | #221 | #213 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 7.5 | 7.7 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 62.3% | 47.8% |
| Tes tidak stabil | 7 | 6 |
| Total Run | 69 | 69 |
| Biaya per hasil | 1.250 | 1.874 |
| Total Biaya | $0.145 | $0.147 |
| Harga input | $0.280 / 1M | $0.320 / 1M |
| Harga output | $0.420 / 1M | $3.200 / 1M |
| Total token input | 306,662 | 250,919 |
| Token output | 17,819 | 20,816 |
| Token penalaran | 125,341 | 0 |
| Waktu respons (rata-rata) | 70.08s | 12.71s |
| Waktu respons (maks) | 376.10s | 156.31s |
| Waktu respons (total) | 1611.86s | 292.29s |
| Parameter | 671B total (37B aktif) | 27B |
| Ketersediaan | Sumber terbuka | Sumber terbuka |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#221 DeepSeek V3.2
medium- Biaya
- $0.001
- Waktu
- 53.6s
- Token
- 1,932 tok
#213 Qwen3.6 27B
none- Biaya
- $0.009
- Waktu
- 83.0s
- Token
- 4,549 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V3.2 | 3.0 | 10.0 | 0.0% | 0 | 106.33s | 205,606 | 5,987 | 8,386 | |
| Qwen3.6 27B | 10.0 | 10.0 | 100.0% | 0 | 58.61s | 155,114 | 4,660 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V3.2 | 8.2 | 7.9 | 83.3% | 1 | 24.23s | 448 | 3,247 | 6,953 | |
| Qwen3.6 27B | 3.8 | 3.7 | 41.7% | 3 | 2.83s | 696 | 490 | 0 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V3.2 | 6.0 | 7.2 | 55.6% | 1 | 248.68s | 5,717 | 649 | 52,014 | |
| Qwen3.6 27B | 5.5 | 10.0 | 33.3% | 0 | 4.16s | 7,913 | 539 | 0 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V3.2 | 7.3 | 5.8 | 83.3% | 1 | 79.92s | 76,997 | 5,219 | 24,229 | |
| Qwen3.6 27B | 3.2 | 9.1 | 0.0% | 0 | 83.13s | 65,572 | 13,744 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V3.2 | 10.0 | 10.0 | 100.0% | 0 | 36.09s | 7,388 | 207 | 7,693 | |
| Qwen3.6 27B | 7.3 | 5.8 | 83.3% | 1 | 2.06s | 7,788 | 248 | 0 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V3.2 | 2.9 | 4.4 | 22.2% | 2 | 22.94s | 481 | 19 | 6,779 | |
| Qwen3.6 27B | 7.7 | 10.0 | 66.7% | 0 | 2.79s | 798 | 25 | 0 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V3.2 | 3.4 | 2.5 | 33.3% | 1 | 58.29s | 314 | 49 | 2,189 | |
| Qwen3.6 27B | 5.2 | 9.9 | 0.0% | 0 | 1.07s | 522 | 72 | 0 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V3.2 | 10.0 | 10.0 | 100.0% | 0 | 35.78s | 627 | 1,397 | 2,845 | |
| Qwen3.6 27B | 6.2 | 5.8 | 66.7% | 1 | 1.92s | 711 | 49 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V3.2 | 7.0 | 7.2 | 55.6% | 1 | 37.69s | 594 | 518 | 6,375 | |
| Qwen3.6 27B | 5.3 | 7.2 | 44.4% | 1 | 5.15s | 714 | 639 | 0 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V3.2 | 10.0 | 10.0 | 100.0% | 0 | 34.81s | 8,307 | 507 | 859 | |
| Qwen3.6 27B | 9.5 | 10.0 | 100.0% | 0 | 6.74s | 10,881 | 339 | 0 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V3.2 | 3.0 | 10.0 | 0.0% | 0 | 83.99s | 183 | 20 | 7,019 | |
| Qwen3.6 27B | 3.0 | 10.0 | 0.0% | 0 | 4.03s | 210 | 11 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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