- Peringkat
- #125
- Total token output
- 271,559
- Waktu respons (rata-rata)
- 91.67s
- Total Biaya
- $0.140
Seed-2.0-Mini (medium) vs Mistral Large 4 (high)
Skor rata-rata hampir imbang di 7.5 vs 7.5. Seed-2.0-Mini (medium) memiliki biaya benchmark lebih rendah di $0.140 vs $1.391. Seed-2.0-Mini (medium) lebih cepat di 91.67s vs 263.69s, dengan tingkat keberhasilan 59.4% vs 65.2%.
Model yang Dibandingkan
- Peringkat
- #126
- Total token output
- 590,306
- Waktu respons (rata-rata)
- 263.69s
- Total Biaya
- $1.391
Model yang direkomendasikan
Seed-2.0-Mini (medium)
It has the best score here (7.5), while costing about 9.9x less than Mistral Large 4 (high).
Perbandingan terperinci
| Metrik | Seed-2.0-Mini Seed-2.0-Mini medium | Mistral Large 4 Mistral Large 4 high |
|---|---|---|
| Skor | 7.5 | 7.5 |
| Peringkat | #125 | #126 |
| Keandalan | 9.4 | 9.0 |
| Konsistensi | 9.0 | 7.9 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 59.4% | 65.2% |
| Tes tidak stabil | 3 | 6 |
| Total Run | 69 | 69 |
| Biaya per hasil | 1.167 | 11.590 |
| Total Biaya | $0.140 | $1.391 |
| Harga input | $0.100 / 1M | $0.680 / 1M |
| Harga output | $0.400 / 1M | $2.090 / 1M |
| Harga baca cache | T/A | $0.070 / 1M |
| Harga tulis cache | T/A | T/A |
| Total token input | 313,368 | 230,895 |
| Token output | 12,289 | 161,281 |
| Token penalaran | 259,270 | 510,655 |
| Waktu respons (rata-rata) | 91.67s | 263.69s |
| Waktu respons (maks) | 301.78s | 1727.29s |
| Waktu respons (total) | 1833.43s | 6064.89s |
| Parameter | ~50B total (~5B aktif) | 1.05T total (49B aktif) |
| Ketersediaan | Tertutup | Tertutup |
Harga cache berlaku untuk token input. Pembacaan memakai kembali prompt tersimpan; penulisan menyimpannya dan dapat menambah biaya. Token output menggunakan harga output.
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#125 Seed-2.0-Mini
medium- Biaya
- $0.002
- Waktu
- 161.7s
- Token
- 4,379 tok
#126 Mistral Large 4
high- Biaya
- $0.007
- Waktu
- 53.3s
- Token
- 3,333 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 |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Mini | 10.0 | 10.0 | 100.0% | 0 | 64.52s | 187,664 | 1,508 | 11,729 | |
| Mistral Large 4 | 10.0 | 10.0 | 100.0% | 0 | 85.76s | 146,529 | 4,449 | 3,575 |
| 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-Mini | 6.6 | 10.0 | 50.0% | 0 | 74.75s | 791 | 360 | 9,520 | |
| Mistral Large 4 | 8.3 | 10.0 | 75.0% | 0 | 14.97s | 705 | 1,099 | 7,391 |
| 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-Mini | 5.5 | 9.8 | 33.3% | 0 | 220.48s | 3,823 | 464 | 34,964 | |
| Mistral Large 4 | 3.3 | 4.4 | 33.3% | 2 | 1277.83s | 6,541 | 53,820 | 279,694 |
| 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-Mini | 7.3 | 5.8 | 83.3% | 1 | 282.30s | 100,096 | 8,627 | 143,688 | |
| Mistral Large 4 | 10.0 | 10.0 | 100.0% | 0 | 391.89s | 60,590 | 7,002 | 56,326 |
| 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-Mini | 10.0 | 10.0 | 100.0% | 0 | 24.27s | 8,568 | 246 | 2,743 | |
| Mistral Large 4 | 10.0 | 10.0 | 100.0% | 0 | 34.99s | 7,314 | 1,144 | 10,190 |
| 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-Mini | 3.0 | 10.0 | 0.0% | 0 | 103.41s | 237 | 3 | 37,685 | |
| Mistral Large 4 | 3.5 | 4.4 | 33.3% | 2 | 289.43s | 798 | 57,077 | 112,091 |
| 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-Mini | 5.1 | 3.4 | 33.3% | 1 | 36.65s | 585 | 213 | 4,210 | |
| Mistral Large 4 | 10.0 | 10.0 | 100.0% | 0 | 41.23s | 516 | 6,145 | 6,502 |
| 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-Mini | 10.0 | 10.0 | 100.0% | 0 | 17.47s | 840 | 69 | 2,050 | |
| Mistral Large 4 | 8.4 | 6.9 | 83.3% | 1 | 21.99s | 708 | 5,465 | 6,653 |
| 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-Mini | 8.2 | 7.2 | 88.9% | 1 | 31.79s | 903 | 527 | 5,667 | |
| Mistral Large 4 | 5.4 | 7.1 | 44.4% | 1 | 55.18s | 717 | 14,728 | 16,884 |
| 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-Mini | 10.0 | 10.0 | 100.0% | 0 | 88.68s | 9,585 | 222 | 5,235 | |
| Mistral Large 4 | 10.0 | 10.0 | 100.0% | 0 | 24.21s | 6,267 | 305 | 994 |
| 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-Mini | 3.0 | 10.0 | 0.0% | 0 | 56.76s | 276 | 50 | 1,779 | |
| Mistral Large 4 | 3.0 | 10.0 | 0.0% | 0 | 88.77s | 210 | 10,047 | 10,355 |
Perbandingan Cepat
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