- Peringkat
- #106
- Total token output
- 241,309
- Waktu respons (rata-rata)
- 72.24s
- Total Biaya
- $0.767
Seed-2.0-Code (low) vs Qwen3.7 Flash (high)
Skor rata-rata hampir imbang di 7.7 vs 7.8. Qwen3.7 Flash (high) memiliki biaya benchmark lebih rendah di $0.052 vs $0.767. Qwen3.7 Flash (high) lebih cepat di 41.37s vs 72.24s, dengan tingkat keberhasilan 77.3% vs 71.2%.
Model yang Dibandingkan
- Peringkat
- #104
- Total token output
- 370,250
- Waktu respons (rata-rata)
- 41.37s
- Total Biaya
- $0.052
Model yang direkomendasikan
Qwen3.7 Flash (high)
It has the best score here (7.8), while costing about 14.9x less than Seed-2.0-Code (low).
Perbandingan terperinci
| Metrik | Seed-2.0-Code Seed-2.0-Code low | Qwen3.7 Flash Qwen3.7 Flash high |
|---|---|---|
| Skor | 7.7 | 7.8 |
| Peringkat | #106 | #104 |
| Keandalan | 8.5 | 10.0 |
| Konsistensi | 7.8 | 7.8 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 77.3% | 71.2% |
| Tes tidak stabil | 6 | 6 |
| Total Run | 66 | 66 |
| Biaya per hasil | 5.899 | 0.398 |
| Total Biaya | $0.767 | $0.052 |
| Harga input | $0.500 / 1M | $0.030 / 1M |
| Harga output | $3.000 / 1M | $0.130 / 1M |
| Total token input | 85,657 | 116,331 |
| Token output | 8,142 | 12,330 |
| Token penalaran | 233,167 | 357,920 |
| Waktu respons (rata-rata) | 72.24s | 41.37s |
| Waktu respons (maks) | 485.92s | 431.47s |
| Waktu respons (total) | 1589.31s | 910.11s |
| Parameter | ~200B total (~20B aktif) | ~35B total (~3B aktif) |
| Ketersediaan | Tertutup | Tertutup |
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
#104 Qwen3.7 Flash
high
Reached the allocated time limit (600 seconds) without receiving showcase output.
- Biaya
- $0.000
- Waktu
- 600.0s
- 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
| 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 | |
| Qwen3.7 Flash | 10.0 | 10.0 | 100.0% | 0 | 10.21s | 672 | 713 | 13,968 |
| 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 | |
| Qwen3.7 Flash | 8.2 | 9.7 | 66.7% | 0 | 58.84s | 7,893 | 503 | 62,350 |
| 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 | |
| Qwen3.7 Flash | 6.9 | 5.9 | 66.7% | 1 | 231.97s | 88,896 | 9,866 | 203,866 |
| 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 | |
| Qwen3.7 Flash | 10.0 | 10.0 | 100.0% | 0 | 20.10s | 7,782 | 270 | 10,800 |
| 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 | |
| Qwen3.7 Flash | 2.9 | 4.4 | 22.2% | 2 | 34.43s | 780 | 59 | 35,675 |
| 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 | |
| Qwen3.7 Flash | 5.1 | 3.4 | 33.3% | 1 | 10.73s | 516 | 120 | 3,898 |
| 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 | |
| Qwen3.7 Flash | 9.8 | 10.0 | 100.0% | 0 | 9.41s | 699 | 97 | 7,838 |
| 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 | |
| Qwen3.7 Flash | 7.1 | 5.1 | 77.8% | 2 | 10.79s | 696 | 369 | 10,474 |
| 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 | |
| Qwen3.7 Flash | 10.0 | 10.0 | 100.0% | 0 | 5.72s | 8,193 | 309 | 1,436 |
| 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 | |
| Qwen3.7 Flash | 3.0 | 10.0 | 0.0% | 0 | 17.70s | 204 | 24 | 7,615 |
Perbandingan Cepat
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