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Mistral Large 4 (low) vs Qwen3.8 27B (low)

Skor rata-rata hampir imbang di 7.6 vs 7.6. Qwen3.8 27B (low) memiliki biaya benchmark lebih rendah di ~$0.089 vs $1.648. Qwen3.8 27B (low) lebih cepat di 46.60s vs 300.15s, dengan tingkat keberhasilan 65.2% vs 68.1%.

Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-10-06

Model yang Dibandingkan

Peringkat
#119
Total token output
714,287
Waktu respons (rata-rata)
300.15s
Total Biaya
$1.648
Peringkat
#122
Total token output
209,143
Waktu respons (rata-rata)
46.60s
Total Biaya
~$0.089
Model yang direkomendasikan Qwen3.8 27B (low)

It has the best score here (7.6), while costing about 18.7x less than Mistral Large 4 (low).

Perbandingan terperinci

Metrik Mistral Large 4 Mistral Large 4 low Rilis: 2026-10-06 Qwen3.8 27B Qwen3.8 27B low Rilis: 2026-08-14 Tersedia gratis
Skor 7.6 7.6
Peringkat #119 #122
Keandalan 9.0 10.0
Konsistensi 8.7 9.7
Percobaan 69/69 69/69
Tes benar
Tingkat lulus per percobaan 65.2% 68.1%
Tes tidak stabil 4 1
Total Run 69 69
Biaya per hasil 12.670 ~0.589
Total Biaya $1.648 ~$0.089
Harga input $0.680 / 1M T/A
Harga output $2.090 / 1M T/A
Harga baca cache $0.070 / 1M T/A
Harga tulis cache T/A T/A
Total token input 226,734 315,290
Token output 278,013 1,607
Token penalaran 638,296 207,536
Waktu respons (rata-rata) 300.15s 46.60s
Waktu respons (maks) 1798.01s 376.04s
Waktu respons (total) 6903.40s 1071.83s
Parameter 1.05T total (49B aktif) 27.3B
Ketersediaan Tertutup 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.

#119 Mistral Large 4

low
Biaya
$0.015
Waktu
115.1s
Token
6,915 tok

#122 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
Mistral Large 4 3.4 7.2 22.2% 1 1379.72s 5,896 129,426 386,126
Qwen3.8 27B 7.7 10.0 66.7% 0 140.92s 8,127 585 86,694

Perbandingan Cepat

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