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DeepSeek V4 Flash 0731 (high) vs Qwen3.8 27B (low)

DeepSeek V4 Flash 0731 (high) unggul dalam skor rata-rata dengan 8.0 vs 7.9. Qwen3.8 27B (low) memiliki biaya benchmark lebih rendah di ~$0.071 vs $0.134. Qwen3.8 27B (low) lebih cepat di 39.11s vs 114.94s, dengan tingkat keberhasilan 75.8% vs 68.2%.

Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-08-20

Peringkat
#54
Total token output
513,307
Waktu respons (rata-rata)
114.94s
Total Biaya
$0.134
Peringkat
#61
Total token output
169,329
Waktu respons (rata-rata)
39.11s
Total Biaya
~$0.071
Model yang direkomendasikan Qwen3.8 27B (low)

Its score stays close to the best score here (7.9 vs 8.0), while costing about 1.9x less than DeepSeek V4 Flash 0731 (high).

Perbandingan terperinci

Metrik DeepSeek V4 Flash 0731 DeepSeek V4 Flash 0731 high Rilis: 2026-08-01 Qwen3.8 27B Qwen3.8 27B low Rilis: 2026-08-14
Skor 8.0 7.9
Peringkat #54 #61
Keandalan 10.0 10.0
Konsistensi 8.0 10.0
Percobaan 66/66 66/66
Tes benar
Tingkat lulus per percobaan 75.8% 68.2%
Tes tidak stabil 5 0
Total Run 66 66
Biaya per hasil 0.956 ~0.473
Total Biaya $0.134 ~$0.071
Harga input $0.140 / 1M T/A
Harga output $0.280 / 1M T/A
Total token input 96,702 99,705
Token output 16,966 1,545
Token penalaran 496,341 167,784
Waktu respons (rata-rata) 114.94s 39.11s
Waktu respons (maks) 600.61s 376.04s
Waktu respons (total) 2528.65s 860.51s
Parameter 284B total (13B aktif) 27.3B
Ketersediaan Tertutup Bobot tersedia

Showcase generasi model

Hamster playing table tennis

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

#54 DeepSeek V4 Flash 0731

high
SVG tidak valid
Biaya
$0.000
Waktu
187.3s
Token
19,048 tok

#61 Qwen3.8 27B

low
Biaya
~$0.003
Waktu
92.8s
Token
6,902 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 6.3 6.3 55.6% 1 252.67s 7,044 2,160 191,210
Qwen3.8 27B 7.7 10.0 66.7% 0 140.92s 8,127 585 86,694

Perbandingan Cepat

Ganti Pasangan Perbandingan

Qwen3.8 27BlowvsStep 3.7 FlashmediumGPT-5.2 ChatnonevsQwen3.8 27BlowKimi K3maxvsQwen3.8 27BlowGPT-5.6 TerrahighvsQwen3.8 27BlowGemini 3.5 Flash LitemediumvsQwen3.8 27BlowQwen3.8 27BlowvsGLM 5.2mediumDeepSeek V4 Flash 0731highvsInklingmediumQwen3.8 27BlowvsInklingmediumGPT-5.6 TerramediumvsQwen3.8 27BlowDeepSeek V4 Flash 0731highvsMuse Glimmer 30BxhighDeepSeek V4 Flash 0731highvsGPT-5 MinimediumClaude Sonnet 4.6mediumvsQwen3.8 27Blow