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LongCat 2.0 (medium) vs Qwen3.7 Flash (high)

Skor rata-rata hampir imbang di 7.2 vs 7.2. Qwen3.7 Flash (high) memiliki biaya benchmark lebih rendah di $0.063 vs $0.593. Qwen3.7 Flash (high) lebih cepat di 45.48s vs 144.88s, dengan tingkat keberhasilan 59.4% vs 71.0%.

Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-10-01

Model yang Dibandingkan

Peringkat
#145
Total token output
422,234
Waktu respons (rata-rata)
144.88s
Total Biaya
$0.593
Peringkat
#144
Total token output
409,818
Waktu respons (rata-rata)
45.48s
Total Biaya
$0.063
Model yang direkomendasikan Qwen3.7 Flash (high)

It has the best score here (7.2), while costing about 9.6x less than LongCat 2.0 (medium).

Perbandingan terperinci

Metrik LongCat 2.0 LongCat 2.0 medium Rilis: 2026-07-20 Qwen3.7 Flash Qwen3.7 Flash high Rilis: 2026-07-28
Skor 7.2 7.2
Peringkat #145 #144
Keandalan 10.0 10.0
Konsistensi 9.0 7.6
Percobaan 69/69 69/69
Tes benar
Tingkat lulus per percobaan 59.4% 71.0%
Tes tidak stabil 3 7
Total Run 69 69
Biaya per hasil 4.942 0.478
Total Biaya $0.593 $0.063
Harga input $0.300 / 1M $0.030 / 1M
Harga output $1.200 / 1M $0.130 / 1M
Total token input 287,669 293,775
Token output 47,204 13,527
Token penalaran 375,030 396,291
Waktu respons (rata-rata) 144.88s 45.48s
Waktu respons (maks) 939.52s 431.47s
Waktu respons (total) 3332.19s 1045.97s
Parameter 1.6T total (48B aktif) ~35B total (~3B aktif)
Ketersediaan Sumber terbuka Tertutup

Showcase generasi model

Hamster playing table tennis

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

#145 LongCat 2.0

medium
Biaya
$0.016
Waktu
285.1s
Token
13,057 tok

#144 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

Pemrograman Skor Konsistensi Tingkat lulus per percobaan Tes tidak stabil Tes benar Waktu respons (rata-rata) Token input Token output Token penalaran
LongCat 2.0 10.0 10.0 100.0% 0 455.00s 7,419 533 214,143
Qwen3.7 Flash 8.2 9.7 66.7% 0 58.84s 7,893 503 62,350

Perbandingan Cepat

Ganti Pasangan Perbandingan