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Ling 3.0 Tiny (high) vs GLM 4.7 Flash (medium)

GLM 4.7 Flash (medium) unggul dalam skor rata-rata dengan 4.3 vs 3.8. Ling 3.0 Tiny (high) memiliki biaya benchmark lebih rendah di $0.000 vs $0.168. Ling 3.0 Tiny (high) lebih cepat di 75.68s vs 134.34s, dengan tingkat keberhasilan 24.2% vs 31.8%.

Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-09-22

Model yang Dibandingkan

Peringkat
#332
Total token output
950,683
Waktu respons (rata-rata)
75.68s
Total Biaya
$0.000
Peringkat
#319
Total token output
419,534
Waktu respons (rata-rata)
134.34s
Total Biaya
$0.168
Model yang direkomendasikan GLM 4.7 Flash (medium)

It has the strongest score in this comparison (4.3) and the best overall balance of cost and response time across all 2 models.

Perbandingan terperinci

Metrik Ling 3.0 Tiny Ling 3.0 Tiny high Rilis: 2026-08-07 GLM 4.7 Flash GLM 4.7 Flash medium Rilis: 2026-01-19
Skor 3.8 4.3
Peringkat #332 #319
Keandalan 10.0 8.6
Konsistensi 8.8 7.0
Percobaan 66/66 66/66
Tes benar
Tingkat lulus per percobaan 24.2% 31.8%
Tes tidak stabil 3 8
Total Run 66 66
Biaya per hasil 0.000 4.180
Total Biaya $0.000 $0.168
Harga input $0.000 / 1M $0.061 / 1M
Harga output $0.000 / 1M $0.400 / 1M
Total token input 115,314 79,104
Token output 133,965 42,254
Token penalaran 816,718 377,280
Waktu respons (rata-rata) 75.68s 134.34s
Waktu respons (maks) 345.15s 1539.97s
Waktu respons (total) 1589.20s 2015.13s
Parameter 7.9B total (1.3B aktif) 30B total (3B aktif)
Ketersediaan Sumber terbuka Sumber terbuka

Showcase generasi model

Hamster playing table tennis

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

#332 Ling 3.0 Tiny

high
No output was saved. The original provider response or failure reason is unavailable.
Biaya
$0.000
Waktu
169.5s
Token
5,252 tok

#319 GLM 4.7 Flash

medium
No output was saved. The original provider response or failure reason is unavailable.
Biaya
$0.000
Waktu
186.2s
Token
12,112 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
Ling 3.0 Tiny 2.9 10.0 0.0% 0 177.65s 7,767 59,320 177,922
GLM 4.7 Flash 3.2 7.4 11.1% 1 55.33s 3,106 4,981 22,387

Perbandingan Cepat

Ganti Pasangan Perbandingan