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Model yang Dibandingkan

Perbandingan benchmark Qwen3.8 27B (high) vs Qwen3.8 27B (medium) vs Qwen3.8 27B (low) vs Qwen3.8 27B: Qwen3.8 27B (high) unggul pada Skor dengan 8.7. Qwen3.8 27B (low) unggul pada Keandalan dengan 10.0. Qwen3.8 27B memiliki Total Biaya terendah di ~$0.010. Qwen3.8 27B paling cepat di 5.05s.

Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-10-01

Model yang Dibandingkan

Peringkat
#55
Total token output
677,080
Waktu respons (rata-rata)
166.34s
Total Biaya
~$0.298
Peringkat
#141
Total token output
170,696
Waktu respons (rata-rata)
40.09s
Total Biaya
~$0.073
Peringkat
#117
Total token output
209,143
Waktu respons (rata-rata)
46.60s
Total Biaya
~$0.089
Peringkat
#272
Total token output
13,791
Waktu respons (rata-rata)
5.05s
Total Biaya
~$0.010
Model yang direkomendasikan Qwen3.8 27B (high)

It has the strongest score in this comparison (8.7) and the best overall balance of cost and response time across all 4 models.

Perbandingan terperinci

Metrik Qwen3.8 27B Qwen3.8 27B high Rilis: 2026-08-14 Tersedia gratis Qwen3.8 27B Qwen3.8 27B medium Rilis: 2026-08-14 Tersedia gratis Qwen3.8 27B Qwen3.8 27B low Rilis: 2026-08-14 Tersedia gratis Qwen3.8 27B Qwen3.8 27B none Rilis: 2026-08-14 Tersedia gratis
Skor 8.7 7.2 7.6 5.4
Peringkat #55 #141 #117 #272
Keandalan 9.7 9.7 10.0 10.0
Konsistensi 9.2 9.4 9.7 10.0
Percobaan 69/69 69/69 69/69 69/69
Tes benar
Tingkat lulus per percobaan 78.3% 66.7% 68.1% 39.1%
Tes tidak stabil 2 2 1 0
Total Run 69 69 69 69
Biaya per hasil ~1.751 ~0.520 ~0.589 ~0.107
Total Biaya ~$0.298 ~$0.073 ~$0.089 ~$0.010
Harga input T/A T/A T/A T/A
Harga output T/A T/A T/A T/A
Total token input 348,967 277,164 315,290 281,460
Token output 1,005 1,913 1,607 13,791
Token penalaran 676,075 168,783 207,536 0
Waktu respons (rata-rata) 166.34s 40.09s 46.60s 5.05s
Waktu respons (maks) 640.85s 214.63s 376.04s 47.42s
Waktu respons (total) 3825.81s 881.89s 1071.83s 116.11s
Parameter 27.3B 27.3B 27.3B 27.3B
Ketersediaan Bobot tersedia Bobot tersedia Bobot tersedia Bobot tersedia

Showcase generasi model

Hamster playing table tennis

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

#55 Qwen3.8 27B

high
Biaya
~$0.008
Waktu
270.1s
Token
18,963 tok

#141 Qwen3.8 27B

medium
Biaya
~$0.002
Waktu
43.4s
Token
2,956 tok

#117 Qwen3.8 27B

low
Biaya
~$0.003
Waktu
92.8s
Token
6,902 tok

#272 Qwen3.8 27B

none
Biaya
~$0.001
Waktu
23.9s
Token
1,922 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
Qwen3.8 27B 8.1 7.0 88.9% 1 248.62s 8,235 346 143,335
Qwen3.8 27B 10.0 10.0 100.0% 0 40.50s 7,893 585 26,808
Qwen3.8 27B 7.7 10.0 66.7% 0 140.92s 8,127 585 86,694
Qwen3.8 27B 5.5 10.0 33.3% 0 1.19s 7,911 408 0

Perbandingan Cepat

Ganti Pasangan Perbandingan

Gemini 3.8 FlashlowvsQwen3.8 27BmediumTersedia gratisGPT-5.2mediumvsQwen3.8 27BhighTersedia gratisQwen3.8 27BhighTersedia gratisvsMiMo-V2.6-PromediumSeed 2.1 TurbomediumvsQwen3.8 27BhighTersedia gratisClaude Opus 4.8lowvsQwen3.8 27BmediumTersedia gratisGPT-6 SollowvsQwen3.8 27BhighTersedia gratisQwen3.8 27BlowTersedia gratisvsSpace Bunny AlphahighQwen3.8 27BlowTersedia gratisvsGLM 5.1mediumNorth Mini CodemediumTersedia gratisvsQwen3.8 27BnoneTersedia gratisQwen3.8 27BnoneTersedia gratisvsHy4 previewlowQwen3.8 27BmediumTersedia gratisvsStep 3.7 FlashlowDeepSeek V4.1 FlashmaxvsQwen3.8 27BhighTersedia gratis