- Peringkat
- #106
- Total token output
- 241,309
- Waktu respons (rata-rata)
- 72.24s
- Total Biaya
- $0.767
Seed-2.0-Code (low) vs DeepSeek V4 Flash 0423 (high)
Seed-2.0-Code (low) unggul dalam skor rata-rata dengan 7.7 vs 7.6. DeepSeek V4 Flash 0423 (high) memiliki biaya benchmark lebih rendah di $0.042 vs $0.767. DeepSeek V4 Flash 0423 (high) lebih cepat di 51.81s vs 72.24s, dengan tingkat keberhasilan 77.3% vs 69.7%.
Model yang Dibandingkan
- Peringkat
- #109
- Total token output
- 211,310
- Waktu respons (rata-rata)
- 51.81s
- Total Biaya
- $0.042
Model yang direkomendasikan
DeepSeek V4 Flash 0423 (high)
Its score stays close to the best score here (7.6 vs 7.7), while costing about 18.5x less than Seed-2.0-Code (low).
Perbandingan terperinci
| Metrik | Seed-2.0-Code Seed-2.0-Code low | DeepSeek V4 Flash 0423 DeepSeek V4 Flash 0423 high |
|---|---|---|
| Skor | 7.7 | 7.6 |
| Peringkat | #106 | #109 |
| Keandalan | 8.5 | 10.0 |
| Konsistensi | 7.8 | 8.5 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 77.3% | 69.7% |
| Tes tidak stabil | 6 | 4 |
| Total Run | 66 | 66 |
| Biaya per hasil | 5.899 | 0.446 |
| Total Biaya | $0.767 | $0.042 |
| Harga input | $0.500 / 1M | $0.089 / 1M |
| Harga output | $3.000 / 1M | $0.178 / 1M |
| Total token input | 85,657 | 108,480 |
| Token output | 8,142 | 37,229 |
| Token penalaran | 233,167 | 174,081 |
| Waktu respons (rata-rata) | 72.24s | 51.81s |
| Waktu respons (maks) | 485.92s | 218.13s |
| Waktu respons (total) | 1589.31s | 1139.75s |
| Parameter | ~200B total (~20B aktif) | 284B total (13B aktif) |
| Ketersediaan | Tertutup | Sumber terbuka |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#106 Seed-2.0-Code
low
Provider returned error
- Biaya
- $0.000
- Waktu
- 0.3s
- Token
- 0 tok
#109 DeepSeek V4 Flash 0423
high- Biaya
- $0.003
- Waktu
- 93.1s
- Token
- 7,926 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
| Trik anti-AI | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Code | 8.7 | 7.9 | 91.7% | 1 | 39.56s | 930 | 2,650 | 15,987 | |
| DeepSeek V4 Flash 0423 | 8.3 | 10.0 | 75.0% | 0 | 28.51s | 540 | 140 | 7,770 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Code | 7.0 | 7.1 | 55.6% | 1 | 109.70s | 7,948 | 455 | 55,759 | |
| DeepSeek V4 Flash 0423 | 7.8 | 10.0 | 66.7% | 0 | 50.60s | 7,279 | 395 | 34,862 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Code | 7.3 | 5.8 | 83.3% | 1 | 99.12s | 55,969 | 3,774 | 21,408 | |
| DeepSeek V4 Flash 0423 | 6.4 | 5.8 | 66.7% | 1 | 104.10s | 82,663 | 4,633 | 37,533 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Code | 10.0 | 10.0 | 100.0% | 0 | 24.88s | 8,046 | 246 | 1,639 | |
| DeepSeek V4 Flash 0423 | 10.0 | 10.0 | 100.0% | 0 | 28.03s | 7,290 | 201 | 1,179 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Code | 4.1 | 4.4 | 44.5% | 2 | 238.45s | 975 | 16 | 132,626 | |
| DeepSeek V4 Flash 0423 | 3.6 | 7.2 | 22.2% | 1 | 115.42s | 754 | 22,778 | 79,643 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Code | 6.5 | 3.4 | 66.7% | 1 | 11.14s | 579 | 179 | 1,117 | |
| DeepSeek V4 Flash 0423 | 6.1 | 3.1 | 66.7% | 1 | 25.15s | 471 | 79 | 632 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Code | 9.8 | 10.0 | 100.0% | 0 | 12.20s | 828 | 72 | 1,034 | |
| DeepSeek V4 Flash 0423 | 10.0 | 10.0 | 100.0% | 0 | 15.36s | 627 | 63 | 1,622 |
| Pemecahan teka-teki | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Code | 9.9 | 10.0 | 100.0% | 0 | 12.50s | 885 | 445 | 2,470 | |
| DeepSeek V4 Flash 0423 | 8.2 | 7.2 | 88.9% | 1 | 26.11s | 594 | 196 | 1,767 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Code | 10.0 | 10.0 | 100.0% | 0 | 55.56s | 9,315 | 296 | 637 | |
| DeepSeek V4 Flash 0423 | 10.0 | 10.0 | 100.0% | 0 | 74.73s | 8,079 | 228 | 542 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Code | 3.0 | 10.0 | 0.0% | 0 | 10.02s | 182 | 9 | 490 | |
| DeepSeek V4 Flash 0423 | 3.0 | 10.0 | 0.0% | 0 | 54.46s | 183 | 8,516 | 8,531 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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