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DeepSeek V4 Flash 0731 vs Ling-2.6-1T

DeepSeek V4 Flash 0731 unggul dalam skor rata-rata dengan 5.4 vs 5.3. DeepSeek V4 Flash 0731 memiliki biaya benchmark lebih rendah di $0.011 vs $0.016. Ling-2.6-1T lebih cepat di 8.59s vs 20.72s, dengan tingkat keberhasilan 27.3% vs 18.2%.

Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-09-10

Model yang Dibandingkan

Peringkat
#254
Total token output
25,426
Waktu respons (rata-rata)
20.72s
Total Biaya
$0.011
Peringkat
#259
Total token output
11,555
Waktu respons (rata-rata)
8.59s
Total Biaya
$0.016
Model yang direkomendasikan Ling-2.6-1T

Its score stays close to the best score here (5.3 vs 5.4), while responding about 2.4x faster than DeepSeek V4 Flash 0731.

Perbandingan terperinci

Metrik DeepSeek V4 Flash 0731 DeepSeek V4 Flash 0731 none Rilis: 2026-08-01 Ling-2.6-1T Ling-2.6-1T none Rilis: 2026-04-23
Skor 5.4 5.3
Peringkat #254 #259
Keandalan 10.0 10.0
Konsistensi 8.6 10.0
Percobaan 66/66 66/66
Tes benar
Tingkat lulus per percobaan 27.3% 18.2%
Tes tidak stabil 4 0
Total Run 66 66
Biaya per hasil 0.509 0.278
Total Biaya $0.011 $0.016
Harga input $0.065 / 1M $0.075 / 1M
Harga output $0.180 / 1M $0.625 / 1M
Total token input 94,566 106,423
Token output 25,426 11,555
Token penalaran 0 0
Waktu respons (rata-rata) 20.72s 8.59s
Waktu respons (maks) 387.15s 25.72s
Waktu respons (total) 455.81s 163.20s
Parameter 284B total (13B aktif) 1T total (63B aktif)
Ketersediaan Tertutup Sumber terbuka

Showcase generasi model

Hamster playing table tennis

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

#254 DeepSeek V4 Flash 0731

none
Biaya
$0.004
Waktu
198.4s
Token
14,316 tok

#259 Ling-2.6-1T

none
Ling-2.6-1T is no longer available as a free model. It has transitioned to a paid model. Continue using it here: https://openrouter.ai/inclusionai/ling-2.6-1t
Biaya
$0.000
Waktu
0.1s
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 4.3 10.0 0.0% 0 1.72s 7,275 505 0
Ling-2.6-1T 3.8 10.0 0.0% 0 10.57s 813 381 0

Perbandingan Cepat

Ganti Pasangan Perbandingan