- Peringkat
- #320
- Total token output
- 57,866
- Waktu respons (rata-rata)
- 22.44s
- Total Biaya
- $0.121
DeepSeek V3.2 vs Granite 4.2 8B (high)
Skor rata-rata hampir imbang di 4.6 vs 4.7. DeepSeek V3.2 memiliki biaya benchmark lebih rendah di $0.121 vs $0.161. DeepSeek V3.2 lebih cepat di 22.44s vs 235.35s, dengan tingkat keberhasilan 34.8% vs 37.7%.
Model yang Dibandingkan
- Peringkat
- #318
- Total token output
- 661,367
- Waktu respons (rata-rata)
- 235.35s
- Total Biaya
- $0.161
Model yang direkomendasikan
DeepSeek V3.2
It has the best score here (4.6), while responding about 10.5x faster than Granite 4.2 8B (high).
Perbandingan terperinci
| Metrik | DeepSeek V3.2 DeepSeek V3.2 none | Granite 4.2 8B Granite 4.2 8B high |
|---|---|---|
| Skor | 4.6 | 4.7 |
| Peringkat | #320 | #318 |
| Keandalan | 10.0 | 8.2 |
| Konsistensi | 8.2 | 6.4 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 34.8% | 37.7% |
| Tes tidak stabil | 5 | 10 |
| Total Run | 69 | 69 |
| Biaya per hasil | 1.943 | 2.751 |
| Total Biaya | $0.121 | $0.161 |
| Harga input | $0.280 / 1M | $0.060 / 1M |
| Harga output | $0.420 / 1M | $0.250 / 1M |
| Total token input | 342,158 | 282,658 |
| Token output | 57,866 | 198,563 |
| Token penalaran | 0 | 462,804 |
| Waktu respons (rata-rata) | 22.44s | 235.35s |
| Waktu respons (maks) | 122.50s | 685.87s |
| Waktu respons (total) | 516.03s | 5413.09s |
| Parameter | 671B total (37B aktif) | 8B |
| 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
#318 IBM: Granite 4.2 8B
high
Provider returned error
- Biaya
- $0.000
- Waktu
- 0.2s
- 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 | |
| Granite 4.2 8B | 5.0 | 10.0 | 0.0% | 0 | 223.46s | 239,380 | 17,480 | 31,672 |
| 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 | |
| Granite 4.2 8B | 6.9 | 5.8 | 75.0% | 2 | 205.31s | 507 | 8,350 | 12,250 |
| 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 | |
| Granite 4.2 8B | 3.8 | 4.3 | 33.3% | 2 | 515.34s | 7,047 | 42,438 | 154,749 |
| 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 | |
| Granite 4.2 8B | 5.0 | 6.8 | 33.3% | 1 | 570.43s | 18,410 | 16,478 | 60,329 |
| 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 | |
| Granite 4.2 8B | 3.8 | 5.8 | 33.3% | 1 | 56.55s | 6,779 | 1,368 | 3,999 |
| 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 | |
| Granite 4.2 8B | 2.9 | 7.2 | 11.1% | 1 | 167.15s | 498 | 81,004 | 122,013 |
| 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 | |
| Granite 4.2 8B | 5.5 | 10.0 | 0.0% | 0 | 16.37s | 534 | 5,762 | 5,800 |
| 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 | |
| Granite 4.2 8B | 6.4 | 5.8 | 66.7% | 1 | 87.47s | 483 | 2,191 | 13,223 |
| 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 | |
| Granite 4.2 8B | 2.9 | 4.4 | 22.2% | 2 | 202.69s | 467 | 14,348 | 19,827 |
| 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 | |
| Granite 4.2 8B | 10.0 | 10.0 | 100.0% | 0 | 15.08s | 8,331 | 893 | 4,841 |
| 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 | |
| Granite 4.2 8B | 3.0 | 10.0 | 0.0% | 0 | 252.49s | 222 | 8,251 | 34,101 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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