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inclusionAI: Ling-2.6-flash vs Poolside: Laguna S 2.1

Laguna S 2.1 (low) unggul dalam skor rata-rata dengan 5.0 vs 4.9. Ling-2.6-flash memiliki biaya benchmark lebih rendah di $0.002 vs $0.091. Ling-2.6-flash lebih cepat di 10.68s vs 85.35s, dengan tingkat keberhasilan 30.3% vs 25.8%.

Model yang direkomendasikanLing-2.6-flashIts score stays close to the best score here (4.9 vs 5.0), while costing about 57.0x less than Laguna S 2.1 (low).

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

Metrik Ling-2.6-flash Ling-2.6-flash none Rilis: 2026-04-21 Laguna S 2.1 Laguna S 2.1 low Rilis: 2026-07-21 Tersedia gratis
Skor 4.9 5.0
Peringkat #187 #181
Keandalan 10.0 9.9
Konsistensi 9.3 7.8
Tes benar
Tingkat lulus per percobaan 30.3% 25.8%
Tes tidak stabil 2 6
Total Run 66 66
Biaya per hasil 0.024 3.022
Total Biaya $0.002 $0.091
Harga input $0.010 / 1M $0.100 / 1M
Harga output $0.030 / 1M $0.200 / 1M
Total token input 114,375 118,746
Token output 14,903 67,823
Token penalaran 0 383,885
Waktu respons (rata-rata) 10.68s 85.35s
Waktu respons (maks) 36.03s 814.73s
Waktu respons (total) 213.51s 1877.64s

Hamster playing table tennis

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

#187 Ling-2.6-flash

none
Ling-2.6-flash 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-flash
Biaya
$0.000
Waktu
0.0s
Token
0 tok

#181 Laguna S 2.1

low
Biaya
$0.001
Waktu
6.6s
Token
1,314 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-flash 5.3 10.0 33.3% 0 11.21s 813 381 0
Laguna S 2.1 3.8 7.1 22.2% 1 167.51s 7,917 58,111 119,138

Perbandingan Cepat

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