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Trinity Large Preview vs Mistral: Mistral Small 4

Mistral Small 4 unggul dalam skor rata-rata dengan 5.1 vs 4.8. Trinity Large Preview memiliki biaya benchmark lebih rendah di $0.008 vs $0.022. Mistral Small 4 lebih cepat di 1.20s vs 2.98s, dengan tingkat keberhasilan 21.2% vs 25.8%.

Model yang direkomendasikanMistral Small 4It has the best score here (5.1), while responding about 2.5x faster than Trinity Large Preview.

Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-07-18

Metrik Trinity Large Preview Trinity Large Preview none Rilis: 2026-01-27 Mistral Small 4 Mistral Small 4 none Rilis: 2026-03-16
Skor 4.8 5.1
Peringkat #179 #161
Keandalan 10.0 10.0
Konsistensi 8.9 9.6
Tes benar
Tingkat lulus per percobaan 21.2% 25.8%
Tes tidak stabil 2 1
Total Run 63 66
Biaya per hasil 0.017 0.432
Total Biaya $0.008 $0.022
Harga input $0.243 / 1M $0.150 / 1M
Harga output $0.243 / 1M $0.600 / 1M
Total token input 29,828 104,708
Token output 2,169 9,812
Token penalaran 0 0
Waktu respons (rata-rata) 2.98s 1.20s
Waktu respons (maks) 14.34s 13.16s
Waktu respons (total) 56.57s 26.38s

Hamster playing table tennis

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

#179 Trinity Large Preview

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

#161 Mistral Small 4

none
Biaya
$0.002
Waktu
10.4s
Token
2,370 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
Mistral Small 4 3.7 9.7 0.0% 0 901ms 7,636 619 0

Perbandingan Cepat

Ganti Pasangan Perbandingan