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Model yang Dibandingkan

Perbandingan benchmark Qwen3.8 27B (low) vs Qwen3.8 Flash Next (low) vs Qwen3.8 27B (high) vs Qwen3.8 Flash Next (xhigh): Qwen3.8 27B (high) unggul pada Skor dengan 8.7. Qwen3.8 27B (low) unggul pada Keandalan dengan 10.0. Qwen3.8 Flash Next (low) memiliki Total Biaya terendah di ~$0.045. Qwen3.8 Flash Next (low) paling cepat di 23.66s.

Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-10-05

Model yang Dibandingkan

Peringkat
#121
Total token output
209,143
Waktu respons (rata-rata)
46.60s
Total Biaya
~$0.089
Peringkat
#96
Total token output
135,295
Waktu respons (rata-rata)
23.66s
Total Biaya
~$0.045
Peringkat
#55
Total token output
677,080
Waktu respons (rata-rata)
166.34s
Total Biaya
~$0.298
Peringkat
#154
Total token output
621,056
Waktu respons (rata-rata)
102.66s
Total Biaya
~$0.195
Model yang direkomendasikan Qwen3.8 Flash Next (low)

Its score stays close to the best score here (8.0 vs 8.7), while costing about 4.3x less than model lain dalam perbandingan ini.

Perbandingan terperinci

Metrik Qwen3.8 27B Qwen3.8 27B low Rilis: 2026-08-14 Tersedia gratis Qwen3.8 Flash Next Qwen3.8 Flash Next low Rilis: 2026-10-04 Qwen3.8 27B Qwen3.8 27B high Rilis: 2026-08-14 Tersedia gratis Qwen3.8 Flash Next Qwen3.8 Flash Next xhigh Rilis: 2026-10-04
Skor 7.6 8.0 8.7 7.1
Peringkat #121 #96 #55 #154
Keandalan 10.0 10.0 9.7 9.9
Konsistensi 9.7 8.0 9.2 7.9
Percobaan 69/69 69/69 69/69 69/69
Tes benar
Tingkat lulus per percobaan 68.1% 79.7% 78.3% 72.5%
Tes tidak stabil 1 6 2 6
Total Run 69 69 69 69
Biaya per hasil ~0.589 ~0.299 ~1.751 ~1.390
Total Biaya ~$0.089 ~$0.045 ~$0.298 ~$0.195
Harga input T/A T/A T/A T/A
Harga output T/A T/A T/A T/A
Harga baca cache T/A T/A T/A T/A
Harga tulis cache T/A T/A T/A T/A
Total token input 315,290 342,163 348,967 301,749
Token output 1,607 1,518 1,005 1,033
Token penalaran 207,536 133,777 676,075 620,023
Waktu respons (rata-rata) 46.60s 23.66s 166.34s 102.66s
Waktu respons (maks) 376.04s 166.72s 640.85s 674.08s
Waktu respons (total) 1071.83s 544.16s 3825.81s 2361.10s
Parameter 27.3B 180B total (6B aktif) 27.3B 180B total (6B aktif)
Ketersediaan Bobot tersedia Bobot tersedia Bobot tersedia 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.

#121 Qwen3.8 27B

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

#96 Qwen3.8 Flash Next

low
Biaya
~$0.002
Waktu
47.2s
Token
5,270 tok

#55 Qwen3.8 27B

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

#154 Qwen3.8 Flash Next

xhigh
Biaya
~$0.010
Waktu
333.1s
Token
30,654 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 7.7 10.0 66.7% 0 140.92s 8,127 585 86,694
Qwen3.8 Flash Next 10.0 10.0 100.0% 0 29.46s 8,127 397 24,147
Qwen3.8 27B 8.1 7.0 88.9% 1 248.62s 8,235 346 143,335
Qwen3.8 Flash Next 7.4 7.0 77.8% 1 192.20s 8,235 122 186,070

Perbandingan Cepat

Ganti Pasangan Perbandingan

GPT-5.2mediumvsQwen3.8 27BhighTersedia gratisQwen3.8 27BhighTersedia gratisvsMiMo-V2.6-PromediumSeed 2.1 TurbomediumvsQwen3.8 27BhighTersedia gratisGemini 3.8 FlashmediumvsQwen3.8 Flash NextlowGPT-5.4 NanomediumvsQwen3.8 Flash NextlowGPT-6 SollowvsQwen3.8 27BhighTersedia gratisQwen3.8 27BlowTersedia gratisvsSpace Bunny AlphahighQwen3.8 27BlowTersedia gratisvsGLM 5.1mediumQwen3.8 Flash NextlowvsGLM 5.3 FlashXmaxQwen3.8 Flash NextxhighvsGLM 5.3 FlashXmediumClaude Fable 5.1highvsQwen3.8 Flash NextlowNemotron 3 UltramediumTersedia gratisvsQwen3.8 Flash Nextlow