Navigasi
AD
Track all your projects in one dashboard. Get 📊stats, 🔥heatmaps and 👀recordings in one self-hosted dashboard.
uxwizz.com

Trinity Large Thinking (high) vs Dots 3 Note Preview (medium)

Skor rata-rata hampir imbang di 5.7 vs 5.7. Dots 3 Note Preview (medium) memiliki biaya benchmark lebih rendah di $0.000 vs $0.645. Dots 3 Note Preview (medium) lebih cepat di 70.32s vs 74.52s, dengan tingkat keberhasilan 42.0% vs 58.0%.

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

Model yang Dibandingkan

Peringkat
#253
Total token output
943,044
Waktu respons (rata-rata)
74.52s
Total Biaya
$0.645
Peringkat
#257
Total token output
710,627
Waktu respons (rata-rata)
70.32s
Total Biaya
$0.000
Model yang direkomendasikan Trinity Large Thinking (high)

It has the strongest score in this comparison (5.7) and the best overall balance of cost and response time across all 2 models.

Perbandingan terperinci

Metrik Trinity Large Thinking Trinity Large Thinking high Rilis: 2026-07-28 Dots 3 Note Preview Dots 3 Note Preview medium Rilis: 2026-08-14 Tersedia gratis
Skor 5.7 5.7
Peringkat #253 #257
Keandalan 10.0 10.0
Konsistensi 7.3 6.9
Percobaan 69/69 69/69
Tes benar
Tingkat lulus per percobaan 42.0% 58.0%
Tes tidak stabil 8 9
Total Run 69 69
Biaya per hasil 11.289 0.000
Total Biaya $0.645 $0.000
Harga input $0.250 / 1M $0.000 / 1M
Harga output $0.800 / 1M $0.000 / 1M
Total token input 283,116 208,598
Token output 277,920 120,583
Token penalaran 665,124 590,044
Waktu respons (rata-rata) 74.52s 70.32s
Waktu respons (maks) 510.21s 459.19s
Waktu respons (total) 1713.90s 1617.43s
Parameter 398B total (13B aktif) 280B total (16B aktif)
Ketersediaan Bobot tersedia Sumber terbuka

Showcase generasi model

Hamster playing table tennis

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

#253 Trinity Large Thinking

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

#257 Dots 3 Note Preview

medium
Biaya
$0.000
Waktu
585.4s
Token
12,198 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
Dots 3 Note Preview 4.2 5.1 33.3% 2 309.15s 7,368 29,392 373,137

Perbandingan Cepat

Ganti Pasangan Perbandingan