- Peringkat
- #320
- Total token output
- 57,866
- Waktu respons (rata-rata)
- 22.44s
- Total Biaya
- $0.121
DeepSeek V3.2 vs Qwen3 Coder Next (medium)
Skor rata-rata hampir imbang di 4.6 vs 4.7. Qwen3 Coder Next (medium) memiliki biaya benchmark lebih rendah di $0.069 vs $0.121. Qwen3 Coder Next (medium) lebih cepat di 16.97s vs 22.44s, dengan tingkat keberhasilan 34.8% vs 24.6%.
Model yang Dibandingkan
- Peringkat
- #319
- Total token output
- 40,395
- Waktu respons (rata-rata)
- 16.97s
- Total Biaya
- $0.069
Model yang direkomendasikan
Qwen3 Coder Next (medium)
It has the best score here (4.7), while costing about 1.8x less than DeepSeek V3.2.
Perbandingan terperinci
| Metrik | DeepSeek V3.2 DeepSeek V3.2 none | Qwen3 Coder Next Qwen3 Coder Next medium |
|---|---|---|
| Skor | 4.6 | 4.7 |
| Peringkat | #320 | #319 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 8.2 | 8.7 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 34.8% | 24.6% |
| Tes tidak stabil | 5 | 4 |
| Total Run | 69 | 69 |
| Biaya per hasil | 1.943 | 2.280 |
| Total Biaya | $0.121 | $0.069 |
| Harga input | $0.280 / 1M | $0.120 / 1M |
| Harga output | $0.420 / 1M | $0.800 / 1M |
| Total token input | 342,158 | 311,647 |
| Token output | 57,866 | 40,395 |
| Token penalaran | 0 | 0 |
| Waktu respons (rata-rata) | 22.44s | 16.97s |
| Waktu respons (maks) | 122.50s | 151.35s |
| Waktu respons (total) | 516.03s | 305.55s |
| Parameter | 671B total (37B aktif) | 80B total (3B 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.
#320 DeepSeek V3.2
none- Biaya
- $0.002
- Waktu
- 7.0s
- Token
- 1,046 tok
#319 Qwen3 Coder Next
medium
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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V3.2 | 3.0 | 10.0 | 0.0% | 0 | 122.50s | 206,327 | 15,767 | 0 | |
| Qwen3 Coder Next | 5.0 | 10.0 | 0.0% | 0 | 151.35s | 163,444 | 21,326 | 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 | 3.2 | 8.0 | 8.3% | 1 | 9.35s | 494 | 1,073 | 0 | |
| Qwen3 Coder Next | 3.5 | 8.1 | 16.7% | 1 | 8.64s | 645 | 1,252 | 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 | 3.1 | 6.9 | 11.1% | 1 | 14.54s | 7,279 | 4,528 | 0 | |
| Qwen3 Coder Next | 3.7 | 7.2 | 22.2% | 1 | 924ms | 7,185 | 336 | 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 | 4.8 | 10.0 | 0.0% | 0 | 113.53s | 109,626 | 33,819 | 0 | |
| Qwen3 Coder Next | 3.0 | 10.0 | 0.0% | 0 | 14.65s | 121,413 | 16,067 | 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 | 6.3 | 5.8 | 66.7% | 1 | 9.42s | 7,890 | 1,710 | 0 | |
| Qwen3 Coder Next | 6.5 | 10.0 | 50.0% | 0 | 81.80s | 7,758 | 246 | 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 | 3.0 | 10.0 | 0.0% | 0 | 1.48s | 675 | 23 | 0 | |
| Qwen3 Coder Next | 3.6 | 7.2 | 22.2% | 1 | 570ms | 762 | 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 | 4.7 | 1.6 | 66.7% | 1 | 9.32s | 314 | 43 | 0 | |
| Qwen3 Coder Next | 6.3 | 3.4 | 66.7% | 1 | 1.39s | 498 | 142 | 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 | 1.52s | 627 | 66 | 0 | |
| Qwen3 Coder Next | 6.3 | 10.0 | 50.0% | 0 | 7.49s | 684 | 63 | 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 | 7.6 | 7.2 | 77.8% | 1 | 6.91s | 424 | 298 | 0 | |
| Qwen3 Coder Next | 3.0 | 10.0 | 0.0% | 0 | 1.25s | 678 | 671 | 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 | 11.85s | 8,319 | 522 | 0 | |
| Qwen3 Coder Next | 10.0 | 10.0 | 100.0% | 0 | 2.64s | 8,364 | 255 | 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 | 17.23s | 183 | 17 | 0 | |
| Qwen3 Coder Next | 3.0 | 10.0 | 0.0% | 0 | 399ms | 216 | 12 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
Granite 4.2 8BhighvsQwen3 Coder NextmediumLaguna S 2.1noneTersedia gratisvsQwen3 Coder NextmediumGPT-5.4 NanononevsQwen3 Coder NextmediumDeepSeek V3.2nonevsLaguna S 2.1lowTersedia gratisNorth Mini CodenoneTersedia gratisvsQwen3 Coder NextmediumDeepSeek V3.2nonevsGranite 4.2 8BhighDeepSeek V3.2nonevsNemotron 3.5 LightninglowTersedia gratisLaguna S 2.1lowTersedia gratisvsQwen3 Coder NextmediumMercury 2.5 PreviewnonevsQwen3 Coder NextmediumNemotron 3.5 LightninglowTersedia gratisvsQwen3 Coder NextmediumDeepSeek V3.2nonevsNemotron 3.5 LightningmediumTersedia gratisLing 2.6 FlashnonevsQwen3 Coder Nextmedium