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DeepSeek V4 Flash 0731 (low) vs GLM 5.1 (medium)

GLM 5.1 (medium) unggul dalam skor rata-rata dengan 7.5 vs 7.4. DeepSeek V4 Flash 0731 (low) memiliki biaya benchmark lebih rendah di $0.307 vs $1.066. GLM 5.1 (medium) lebih cepat di 66.38s vs 88.15s, dengan tingkat keberhasilan 71.0% vs 66.7%.

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

Model yang Dibandingkan

Peringkat
#124
Total token output
414,035
Waktu respons (rata-rata)
88.15s
Total Biaya
$0.307
Peringkat
#119
Total token output
248,708
Waktu respons (rata-rata)
66.38s
Total Biaya
$1.066
Model yang direkomendasikan DeepSeek V4 Flash 0731 (low)

Its score stays close to the best score here (7.4 vs 7.5), while costing about 3.5x less than GLM 5.1 (medium).

Perbandingan terperinci

Metrik DeepSeek V4 Flash 0731 DeepSeek V4 Flash 0731 low Rilis: 2026-08-01 GLM 5.1 GLM 5.1 medium Rilis: 2026-04-07
Skor 7.4 7.5
Peringkat #124 #119
Keandalan 10.0 9.2
Konsistensi 8.0 8.4
Percobaan 69/69 69/69
Tes benar
Tingkat lulus per percobaan 71.0% 66.7%
Tes tidak stabil 6 4
Total Run 69 69
Biaya per hasil 0.840 9.004
Total Biaya $0.307 $1.066
Harga input $0.010 / 1M $0.965 / 1M
Harga output $1.280 / 1M $3.032 / 1M
Total token input 231,356 331,577
Token output 43,054 17,919
Token penalaran 370,981 230,789
Waktu respons (rata-rata) 88.15s 66.38s
Waktu respons (maks) 438.65s 308.75s
Waktu respons (total) 2027.36s 1460.31s
Parameter 284B total (13B aktif) 744B total (40B aktif)
Ketersediaan Tertutup Sumber terbuka

Showcase generasi model

Hamster playing table tennis

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

#124 DeepSeek V4 Flash 0731

low
No output was saved. The original provider response or failure reason is unavailable.
Biaya
$0.000
Waktu
78.1s
Token
8,090 tok

#119 GLM 5.1

medium
Reached the allocated time limit (300 seconds) without receiving showcase output.
Biaya
$0.000
Waktu
300.0s
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
DeepSeek V4 Flash 0731 7.3 5.1 77.8% 2 163.31s 5,953 782 86,028
GLM 5.1 4.6 3.7 44.5% 2 109.63s 5,702 4,871 37,826

Perbandingan Cepat

Ganti Pasangan Perbandingan