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DeepSeek V4.1 Flash (high) vs Qwen3.8 27B (high)

DeepSeek V4.1 Flash (high) unggul dalam skor rata-rata dengan 8.7 vs 8.7. Qwen3.8 27B (high) memiliki biaya benchmark lebih rendah di ~$0.298 vs $0.617. DeepSeek V4.1 Flash (high) lebih cepat di 33.27s vs 166.34s, dengan tingkat keberhasilan 75.4% vs 78.3%.

Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-10-19

Model yang Dibandingkan

Peringkat
#63
Total token output
464,156
Waktu respons (rata-rata)
33.27s
Total Biaya
$0.617
Peringkat
#67
Total token output
677,080
Waktu respons (rata-rata)
166.34s
Total Biaya
~$0.298
Model yang direkomendasikan DeepSeek V4.1 Flash (high)

It has the best score here (8.7), while responding about 5.0x faster than Qwen3.8 27B (high).

Perbandingan terperinci

Metrik DeepSeek V4.1 Flash DeepSeek V4.1 Flash high Rilis: 2026-09-10 Qwen3.8 27B Qwen3.8 27B high Rilis: 2026-08-14 Tersedia gratis
Skor 8.7 8.7
Peringkat #63 #67
Keandalan 9.7 9.7
Konsistensi 9.0 9.2
Percobaan 69/69 69/69
Tes benar
Tingkat lulus per percobaan 75.4% 78.3%
Tes tidak stabil 3 2
Total Run 69 69
Biaya per hasil 1.843 ~1.751
Total Biaya $0.617 ~$0.298
Harga input $0.013 / 1M T/A
Harga output $1.320 / 1M T/A
Harga baca cache $0.013 / 1M T/A
Harga tulis cache T/A T/A
Total token input 282,490 348,967
Token output 8,621 1,005
Token penalaran 455,535 676,075
Waktu respons (rata-rata) 33.27s 166.34s
Waktu respons (maks) 205.53s 640.85s
Waktu respons (total) 765.12s 3825.81s
Parameter 748B total (16B aktif) 27.3B
Ketersediaan Sumber terbuka Bobot tersedia

Harga cache berlaku untuk token input. Pembacaan memakai kembali prompt tersimpan; penulisan menyimpannya dan dapat menambah biaya. Token output menggunakan harga output.

Showcase generasi model

Hamster playing table tennis

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

#63 DeepSeek V4.1 Flash

high
Biaya
$0.035
Waktu
111.0s
Token
29,201 tok

#67 Qwen3.8 27B

high
Biaya
~$0.008
Waktu
270.1s
Token
18,963 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 V4.1 Flash 10.0 10.0 100.0% 0 49.19s 7,509 376 108,285
Qwen3.8 27B 8.1 7.0 88.9% 1 248.62s 8,235 346 143,335

Ganti Pasangan Perbandingan

DeepSeek V4.1 FlashhighvsMuse Spark OpenmediumGPT-5.2mediumvsQwen3.8 27BhighTersedia gratisQwen3.8 27BhighTersedia gratisvsMiMo-V2.6-PromediumSeed 2.1 TurbomediumvsQwen3.8 27BhighTersedia gratisGPT-6 SollowvsQwen3.8 27BhighTersedia gratisDeepSeek V4.1 FlashhighvsMuse Spark 1.2lowDeepSeek V4.1 FlashhighvsGPT-5.4mediumDeepSeek V4.1 FlashmaxvsQwen3.8 27BhighTersedia gratisMuse Spark 1.2lowvsQwen3.8 27BhighTersedia gratisDeepSeek V4.1 FlashmediumvsQwen3.8 27BhighTersedia gratisDeepSeek V4.1 FlashhighvsGPT-5.2mediumDeepSeek V4.1 FlashhighvsQwen3.8 MAXlow