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inclusionAI: Ling-2.6-1T vs Mistral: Mistral Small 4

Ling-2.6-1T unggul dalam skor rata-rata dengan 5.3 vs 5.1. Ling-2.6-1T memiliki biaya benchmark lebih rendah di $0.016 vs $0.096. Ling-2.6-1T lebih cepat di 8.58s vs 10.77s, dengan tingkat keberhasilan 18.2% vs 42.4%.

Model yang direkomendasikanLing-2.6-1TIt has the best score here (5.3), while costing about 6.3x less than Mistral Small 4 (medium).

Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-07-17

Metrik Ling-2.6-1T Ling-2.6-1T none Rilis: 2026-04-23 Mistral Small 4 Mistral Small 4 medium Rilis: 2026-03-16
Skor 5.3 5.1
Peringkat #155 #159
Keandalan 10.0 10.0
Konsistensi 10.0 7.0
Tes benar
Tingkat lulus per percobaan 18.2% 42.4%
Tes tidak stabil 0 8
Total Run 66 66
Biaya per hasil 0.277 1.913
Total Biaya $0.016 $0.096
Harga input $0.075 / 1M $0.150 / 1M
Harga output $0.625 / 1M $0.600 / 1M
Total token input 106,414 140,494
Token output 11,555 39,462
Token penalaran 0 92,362
Waktu respons (rata-rata) 8.58s 10.77s
Waktu respons (maks) 25.72s 59.15s
Waktu respons (total) 163.06s 236.94s

Hamster playing table tennis

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

#155 Ling-2.6-1T

none
Ling-2.6-1T is no longer available as a free model. It has transitioned to a paid model. Continue using it here: https://openrouter.ai/inclusionai/ling-2.6-1t
Biaya
$0.000
Waktu
0.1s
Token
0 tok

#159 Mistral Small 4

medium
Biaya
$0.006
Waktu
47.9s
Token
9,857 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-2.6-1T 3.8 10.0 0.0% 0 10.57s 813 381 0
Mistral Small 4 4.4 5.1 33.3% 2 39.98s 7,636 11,635 54,715

Perbandingan Cepat

Ganti Pasangan Perbandingan