- Peringkat
- #320
- Total token output
- 57,866
- Waktu respons (rata-rata)
- 22.44s
- Total Biaya
- $0.121
DeepSeek V3.2 vs Nemotron 3.5 Lightning (low)
Skor rata-rata hampir imbang di 4.6 vs 4.6. Nemotron 3.5 Lightning (low) memiliki biaya benchmark lebih rendah di $0.117 vs $0.121. DeepSeek V3.2 lebih cepat di 22.44s vs 83.19s, dengan tingkat keberhasilan 34.8% vs 40.6%.
Model yang Dibandingkan
- Peringkat
- #325
- Total token output
- 670,615
- Waktu respons (rata-rata)
- 83.19s
- Total Biaya
- $0.117
Model yang direkomendasikan
DeepSeek V3.2
It has the best score here (4.6), while responding about 3.7x faster than Nemotron 3.5 Lightning (low).
Perbandingan terperinci
| Metrik | DeepSeek V3.2 DeepSeek V3.2 none | Nemotron 3.5 Lightning Nemotron 3.5 Lightning low Tersedia gratis |
|---|---|---|
| Skor | 4.6 | 4.6 |
| Peringkat | #320 | #325 |
| Keandalan | 10.0 | 9.5 |
| Konsistensi | 8.2 | 6.8 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 34.8% | 40.6% |
| Tes tidak stabil | 5 | 9 |
| Total Run | 69 | 69 |
| Biaya per hasil | 1.943 | 0.000 |
| Total Biaya | $0.121 | $0.117 |
| Harga input | $0.280 / 1M | $0.060 / 1M |
| Harga output | $0.420 / 1M | $0.160 / 1M |
| Total token input | 342,158 | 207,883 |
| Token output | 57,866 | 144,718 |
| Token penalaran | 0 | 525,897 |
| Waktu respons (rata-rata) | 22.44s | 83.19s |
| Waktu respons (maks) | 122.50s | 597.61s |
| Waktu respons (total) | 516.03s | 1913.41s |
| Parameter | 671B total (37B aktif) | 30B total (3B aktif) |
| Ketersediaan | Sumber terbuka | Bobot tersedia |
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
#325 Nemotron 3.5 Lightning
low- Biaya
- $0.000
- Waktu
- 32.2s
- Token
- 6,089 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 | |
| Nemotron 3.5 Lightning | 3.5 | 8.3 | 0.0% | 0 | 597.61s | 69,091 | 1,746 | 3,695 |
| 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 | |
| Nemotron 3.5 Lightning | 6.9 | 5.8 | 75.0% | 2 | 14.82s | 696 | 2,231 | 13,263 |
| 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 | |
| Nemotron 3.5 Lightning | 4.0 | 7.8 | 11.1% | 1 | 224.42s | 7,522 | 72,614 | 262,558 |
| 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 | |
| Nemotron 3.5 Lightning | 6.3 | 10.0 | 50.0% | 0 | 142.36s | 111,134 | 17,771 | 117,066 |
| 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 | |
| Nemotron 3.5 Lightning | 2.9 | 5.8 | 16.7% | 1 | 31.32s | 7,944 | 3,462 | 17,930 |
| 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 | |
| Nemotron 3.5 Lightning | 3.6 | 7.2 | 22.2% | 1 | 52.66s | 798 | 40,719 | 74,528 |
| 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 | |
| Nemotron 3.5 Lightning | 3.7 | 9.5 | 0.0% | 0 | 4.61s | 516 | 2,794 | 2,933 |
| 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 | |
| Nemotron 3.5 Lightning | 8.4 | 6.9 | 83.3% | 1 | 5.46s | 723 | 434 | 4,423 |
| 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 | |
| Nemotron 3.5 Lightning | 3.6 | 1.8 | 44.4% | 3 | 6.21s | 726 | 1,402 | 11,841 |
| 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 | |
| Nemotron 3.5 Lightning | 10.0 | 10.0 | 100.0% | 0 | 5.08s | 8,526 | 124 | 2,685 |
| 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 | |
| Nemotron 3.5 Lightning | 3.0 | 10.0 | 0.0% | 0 | 38.68s | 207 | 1,421 | 14,975 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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