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Trinity Large Preview vs Poolside: Laguna S 2.1

Trinity Large Preview unggul dalam skor rata-rata dengan 4.8 vs 4.5. Trinity Large Preview memiliki biaya benchmark lebih rendah di $0.008 vs $0.025. Trinity Large Preview lebih cepat di 2.98s vs 11.67s, dengan tingkat keberhasilan 21.2% vs 15.2%.

Model yang direkomendasikanTrinity Large PreviewIt has the best score here (4.8), while costing about 3.1x less than Laguna S 2.1.

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

Metrik Trinity Large Preview Trinity Large Preview none Rilis: 2026-01-27 Laguna S 2.1 Laguna S 2.1 none Rilis: 2026-07-21 Tersedia gratis
Skor 4.8 4.5
Peringkat #192 #200
Keandalan 10.0 10.0
Konsistensi 8.9 8.8
Tes benar
Tingkat lulus per percobaan 21.2% 15.2%
Tes tidak stabil 2 3
Total Run 63 66
Biaya per hasil 0.017 1.205
Total Biaya $0.008 $0.025
Harga input $0.243 / 1M $0.100 / 1M
Harga output $0.243 / 1M $0.200 / 1M
Total token input 29,828 125,598
Token output 2,169 57,634
Token penalaran 0 0
Waktu respons (rata-rata) 2.98s 11.67s
Waktu respons (maks) 14.34s 200.52s
Waktu respons (total) 56.57s 256.80s

Hamster playing table tennis

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

#192 Trinity Large Preview

none
No endpoints found for arcee-ai/trinity-large-preview:free.
Biaya
$0.000
Waktu
0.0s
Token
0 tok

#200 Laguna S 2.1

none
Biaya
$0.001
Waktu
7.6s
Token
1,345 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 Preview 3.7 7.7 11.1% 1 14.34s 738 397 0
Laguna S 2.1 3.4 9.7 0.0% 0 550ms 7,917 424 0

Perbandingan Cepat

Ganti Pasangan Perbandingan