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DeepSeek: DeepSeek V4 Pro vs MoonshotAI: Kimi K2.7 Code

DeepSeek V4 Pro (high) unggul dalam skor rata-rata dengan 7.7 vs 7.5. DeepSeek V4 Pro (high) memiliki biaya benchmark lebih rendah di $0.200 vs $0.690. DeepSeek V4 Pro (high) lebih cepat di 79.14s vs 84.25s, dengan tingkat keberhasilan 63.6% vs 65.2%.

Model yang direkomendasikanDeepSeek V4 Pro (high)It has the best score here (7.7), while costing about 3.4x less than Kimi K2.7 Code (medium).

Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-07-17

Metrik DeepSeek V4 Pro DeepSeek V4 Pro high Rilis: 2026-04-24 Kimi K2.7 Code Kimi K2.7 Code medium Rilis: 2026-06-12
Skor 7.7 7.5
Peringkat #44 #50
Keandalan 10.0 10.0
Konsistensi 7.7 8.3
Tes benar
Tingkat lulus per percobaan 63.6% 65.2%
Tes tidak stabil 6 4
Total Run 66 66
Biaya per hasil 2.000 6.457
Total Biaya $0.200 $0.690
Harga input $0.435 / 1M $0.750 / 1M
Harga output $0.870 / 1M $3.500 / 1M
Total token input 90,748 72,073
Token output 10,462 83,714
Token penalaran 178,719 178,793
Waktu respons (rata-rata) 79.14s 84.25s
Waktu respons (maks) 416.76s 365.80s
Waktu respons (total) 1740.97s 1769.22s

Hamster playing table tennis

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

#44 DeepSeek V4 Pro

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

#50 MoonshotAI: Kimi K2.7 Code

medium
Biaya
$0.025
Waktu
138.0s
Token
6,093 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
Kimi K2.7 Code 7.8 9.3 66.7% 0 146.73s 4,650 1,864 25,635

Perbandingan Cepat

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