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Seed-2.0-Lite vs Qwen3.5-35B-A3B (medium)

Skor rata-rata hampir imbang di 6.2 vs 6.2. Seed-2.0-Lite memiliki biaya benchmark lebih rendah di $0.066 vs $0.837. Seed-2.0-Lite lebih cepat di 4.40s vs 112.47s, dengan tingkat keberhasilan 43.9% vs 66.7%.

Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-07-28

Peringkat
#130
Total token output
14,746
Waktu respons (rata-rata)
4.40s
Total Biaya
$0.066
Peringkat
#133
Total token output
826,670
Waktu respons (rata-rata)
112.47s
Total Biaya
$0.837
Model yang direkomendasikan Seed-2.0-Lite

It has the best score here (6.2), while costing about 12.9x less than Qwen3.5-35B-A3B (medium).

Perbandingan terperinci

Metrik Seed-2.0-Lite Seed-2.0-Lite none Rilis: 2026-02-14 Qwen3.5-35B-A3B Qwen3.5-35B-A3B medium Rilis: 2026-02-24
Skor 6.2 6.2
Peringkat #130 #133
Keandalan 10.0 10.0
Konsistensi 8.5 7.6
Tes benar
Tingkat lulus per percobaan 43.9% 66.7%
Tes tidak stabil 4 6
Total Run 66 66
Biaya per hasil 0.814 9.130
Total Biaya $0.066 $0.837
Harga input $0.250 / 1M $0.140 / 1M
Harga output $2.000 / 1M $1.000 / 1M
Total token input 142,197 130,388
Token output 14,746 40,630
Token penalaran 0 786,040
Waktu respons (rata-rata) 4.40s 112.47s
Waktu respons (maks) 44.58s 950.25s
Waktu respons (total) 96.84s 2474.28s

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#130 Seed-2.0-Lite

none
Biaya
$0.005
Waktu
83.8s
Token
2,311 tok

#133 Qwen3.5-35B-A3B

medium
Biaya
$0.009
Waktu
71.4s
Token
8,631 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

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-Lite 5.6 10.0 33.3% 0 2.83s 8,215 410 0
Qwen3.5-35B-A3B 5.9 9.3 33.3% 0 206.65s 4,106 23,844 111,462

Perbandingan Cepat

Ganti Pasangan Perbandingan