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inclusionAI: Ling-2.6-flash vs MiniMax: MiniMax M2.7

MiniMax M2.7 (medium) unggul dalam skor rata-rata dengan 5.0 vs 4.9. Ling-2.6-flash memiliki biaya benchmark lebih rendah di $0.002 vs $0.163. Ling-2.6-flash lebih cepat di 10.68s vs 41.28s, dengan tingkat keberhasilan 30.3% vs 45.5%.

Model yang direkomendasikanLing-2.6-flashIts score stays close to the best score here (4.9 vs 5.0), while costing about 102.3x less than MiniMax M2.7 (medium).

Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-07-21

Metrik Ling-2.6-flash Ling-2.6-flash none Rilis: 2026-04-21 MiniMax M2.7 MiniMax M2.7 medium Rilis: 2026-03-18
Skor 4.9 5.0
Peringkat #184 #178
Keandalan 10.0 10.0
Konsistensi 9.3 6.6
Tes benar
Tingkat lulus per percobaan 30.3% 45.5%
Tes tidak stabil 2 9
Total Run 66 66
Biaya per hasil 0.024 3.906
Total Biaya $0.002 $0.163
Harga input $0.010 / 1M $0.250 / 1M
Harga output $0.030 / 1M $1.000 / 1M
Total token input 114,375 114,518
Token output 14,903 18,558
Token penalaran 0 119,036
Waktu respons (rata-rata) 10.68s 41.28s
Waktu respons (maks) 36.03s 196.21s
Waktu respons (total) 213.51s 866.81s

Hamster playing table tennis

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

#184 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

#178 MiniMax M2.7

medium
Biaya
$0.022
Waktu
22.8s
Token
9,250 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
MiniMax M2.7 5.7 9.1 33.3% 0 101.89s 2,961 1,231 38,841

Perbandingan Cepat

Ganti Pasangan Perbandingan

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