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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. Ling-2.6-1T memiliki biaya benchmark lebih rendah di $0.016 vs $0.021. Ling-2.6-1T lebih cepat di 8.58s vs 20.70s, dengan tingkat keberhasilan 27.3% vs 18.2%.

Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-08-01

Peringkat
#182
Total token output
25,424
Waktu respons (rata-rata)
20.70s
Total Biaya
$0.021
Peringkat
#186
Total token output
11,555
Waktu respons (rata-rata)
8.58s
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 #182 #186
Keandalan 10.0 10.0
Konsistensi 8.6 10.0
Tes benar
Tingkat lulus per percobaan 27.3% 18.2%
Tes tidak stabil 4 0
Total Run 66 66
Biaya per hasil 0.509 0.277
Total Biaya $0.021 $0.016
Harga input $0.140 / 1M $0.075 / 1M
Harga output $0.280 / 1M $0.625 / 1M
Total token input 94,557 106,414
Token output 25,424 11,555
Token penalaran 0 0
Waktu respons (rata-rata) 20.70s 8.58s
Waktu respons (maks) 387.15s 25.72s
Waktu respons (total) 455.38s 163.06s

Showcase generasi model

Hamster playing table tennis

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

#182 DeepSeek V4 Flash 0731

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

#186 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

DeepSeek V4 Flash 0731nonevsLaguna S 2.1highTersedia gratisDeepSeek V4 Flash 0731nonevsKAT-Coder-Air V2.5lowDeepSeek V4 Flash 0731nonevsLaguna S 2.1mediumTersedia gratisLing-2.6-1TnonevsLaguna S 2.1highTersedia gratisLing-2.6-1TnonevsKAT-Coder-Air V2.5lowLing-2.6-1TnonevsLaguna S 2.1mediumTersedia gratisLing-2.6-1TnonevsMistral Small 4mediumDeepSeek V4 Flash 0731nonevsKAT-Coder-Air V2.5mediumDeepSeek V4 Flash 0731nonevsMistral Small 4mediumLing-2.6-1TnonevsMiniMax M2.7mediumLing-2.6-1TnonevsKAT-Coder-Air V2.5mediumLing-2.6-1TnonevsLaguna S 2.1lowTersedia gratis