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DeepSeek V4 Pro (high) vs Qwen3.7 Flash (high)

Qwen3.7 Flash (high) unggul dalam skor rata-rata dengan 7.8 vs 7.7. Qwen3.7 Flash (high) memiliki biaya benchmark lebih rendah di $0.052 vs $0.476. Qwen3.7 Flash (high) lebih cepat di 41.37s vs 92.50s, dengan tingkat keberhasilan 63.6% vs 71.2%.

Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-09-04

Peringkat
#88
Total token output
209,444
Waktu respons (rata-rata)
92.50s
Total Biaya
$0.476
Peringkat
#84
Total token output
370,250
Waktu respons (rata-rata)
41.37s
Total Biaya
$0.052
Model yang direkomendasikan Qwen3.7 Flash (high)

It has the best score here (7.8), while costing about 9.2x less than DeepSeek V4 Pro (high).

Perbandingan terperinci

Metrik DeepSeek V4 Pro DeepSeek V4 Pro high Rilis: 2026-04-24 Qwen3.7 Flash Qwen3.7 Flash high Rilis: 2026-07-28
Skor 7.7 7.8
Peringkat #88 #84
Keandalan 10.0 10.0
Konsistensi 7.7 7.8
Percobaan 66/66 66/66
Tes benar
Tingkat lulus per percobaan 63.6% 71.2%
Tes tidak stabil 6 6
Total Run 66 66
Biaya per hasil 2.251 0.398
Total Biaya $0.476 $0.052
Harga input $1.002 / 1M $0.030 / 1M
Harga output $2.004 / 1M $0.130 / 1M
Total token input 90,757 116,331
Token output 22,928 12,330
Token penalaran 186,516 357,920
Waktu respons (rata-rata) 92.50s 41.37s
Waktu respons (maks) 416.76s 431.47s
Waktu respons (total) 2035.01s 910.11s
Parameter 1.6T total (49B 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.

#88 DeepSeek V4 Pro

high
Biaya
$0.023
Waktu
257.6s
Token
14,870 tok

#84 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
DeepSeek V4 Pro 6.3 8.7 33.3% 0 243.00s 5,090 383 84,580
Qwen3.7 Flash 8.2 9.7 66.7% 0 58.84s 7,893 503 62,350

Perbandingan Cepat

Ganti Pasangan Perbandingan