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inclusionAI: Ling-2.6-1T vs Poolside: Laguna S 2.1

Laguna S 2.1 (high) unggul dalam skor rata-rata dengan 5.4 vs 5.3. Ling-2.6-1T memiliki biaya benchmark lebih rendah di $0.016 vs $0.127. Ling-2.6-1T lebih cepat di 8.58s vs 111.61s, dengan tingkat keberhasilan 18.2% vs 27.3%.

Model yang direkomendasikanLing-2.6-1TIts score stays close to the best score here (5.3 vs 5.4), while costing about 8.3x less than Laguna S 2.1 (high).

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

Metrik Ling-2.6-1T Ling-2.6-1T none Rilis: 2026-04-23 Laguna S 2.1 Laguna S 2.1 high Rilis: 2026-07-21 Tersedia gratis
Skor 5.3 5.4
Peringkat #170 #167
Keandalan 10.0 9.9
Konsistensi 10.0 8.1
Tes benar
Tingkat lulus per percobaan 18.2% 27.3%
Tes tidak stabil 0 5
Total Run 66 66
Biaya per hasil 0.277 3.153
Total Biaya $0.016 $0.127
Harga input $0.075 / 1M $0.100 / 1M
Harga output $0.625 / 1M $0.200 / 1M
Total token input 106,414 208,931
Token output 11,555 175,588
Token penalaran 0 409,276
Waktu respons (rata-rata) 8.58s 111.61s
Waktu respons (maks) 25.72s 1190.11s
Waktu respons (total) 163.06s 2455.39s

Hamster playing table tennis

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

#170 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

#167 Laguna S 2.1

high
Biaya
$0.001
Waktu
6.8s
Token
1,389 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
Laguna S 2.1 5.3 7.2 44.4% 1 271.42s 6,496 59,355 151,009

Perbandingan Cepat

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