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inclusionAI: Ling-2.6-flash vs OpenAI: GPT-5.4 Nano

Ling-2.6-flash unggul dalam skor rata-rata dengan 4.9 vs 4.8. Ling-2.6-flash memiliki biaya benchmark lebih rendah di $0.002 vs $0.041. GPT-5.4 Nano lebih cepat di 2.57s vs 10.68s, dengan tingkat keberhasilan 30.3% vs 28.8%.

Model yang direkomendasikanGPT-5.4 NanoIts score stays close to the best score here (4.8 vs 4.9), while responding about 4.2x faster than Ling-2.6-flash.

Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-07-22

Metrik Ling-2.6-flash Ling-2.6-flash none Rilis: 2026-04-21 GPT-5.4 Nano GPT-5.4 Nano none Rilis: 2026-03-17
Skor 4.9 4.8
Peringkat #187 #189
Keandalan 10.0 10.0
Konsistensi 9.3 8.2
Tes benar
Tingkat lulus per percobaan 30.3% 28.8%
Tes tidak stabil 2 5
Total Run 66 66
Biaya per hasil 0.024 1.011
Total Biaya $0.002 $0.041
Harga input $0.010 / 1M $0.200 / 1M
Harga output $0.030 / 1M $1.250 / 1M
Total token input 114,375 115,924
Token output 14,903 13,794
Token penalaran 0 0
Waktu respons (rata-rata) 10.68s 2.57s
Waktu respons (maks) 36.03s 25.50s
Waktu respons (total) 213.51s 56.51s

Hamster playing table tennis

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

#187 Ling-2.6-flash

none
Ling-2.6-flash is no longer available as a free model. It has transitioned to a paid model. Continue using it here: https://openrouter.ai/inclusionai/ling-2.6-flash
Biaya
$0.000
Waktu
0.0s
Token
0 tok

#189 GPT-5.4 Nano

none
Biaya
$0.008
Waktu
46.1s
Token
5,735 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-2.6-flash 5.3 10.0 33.3% 0 11.21s 813 381 0
GPT-5.4 Nano 4.6 7.9 22.2% 1 2.22s 7,305 613 0

Perbandingan Cepat

Ganti Pasangan Perbandingan