Navigasi
AI BENCHY
Advertise here

Trinity Large Thinking (high) vs Ling-2.6-flash

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 $0.632. Ling-2.6-flash lebih cepat di 10.68s vs 77.22s, dengan tingkat keberhasilan 39.4% vs 30.3%.

Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-07-28

Peringkat
#202
Total token output
953,758
Waktu respons (rata-rata)
77.22s
Total Biaya
$0.632
Peringkat
#199
Total token output
14,903
Waktu respons (rata-rata)
10.68s
Total Biaya
$0.002
Model yang direkomendasikan Ling-2.6-flash

It has the best score here (4.9), while costing about 397.3x less than Trinity Large Thinking (high).

Perbandingan terperinci

Metrik Trinity Large Thinking Trinity Large Thinking high Rilis: 2026-07-28 Ling-2.6-flash Ling-2.6-flash none Rilis: 2026-04-21
Skor 4.8 4.9
Peringkat #202 #199
Keandalan 9.9 10.0
Konsistensi 7.2 9.3
Tes benar
Tingkat lulus per percobaan 39.4% 30.3%
Tes tidak stabil 8 2
Total Run 66 66
Biaya per hasil 12.640 0.024
Total Biaya $0.632 $0.002
Harga input $0.220 / 1M $0.010 / 1M
Harga output $0.850 / 1M $0.030 / 1M
Total token input 101,767 114,375
Token output 286,218 14,903
Token penalaran 667,540 0
Waktu respons (rata-rata) 77.22s 10.68s
Waktu respons (maks) 510.21s 36.03s
Waktu respons (total) 1698.89s 213.51s

Showcase generasi model

Hamster playing table tennis

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

#202 Trinity Large Thinking

high
Biaya
$0.028
Waktu
130.1s
Token
34,387 tok

#199 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

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
Trinity Large Thinking 3.7 4.7 33.3% 2 245.04s 7,204 83,616 266,836
Ling-2.6-flash 5.3 10.0 33.3% 0 11.21s 813 381 0

Perbandingan Cepat

Ganti Pasangan Perbandingan