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inclusionAI: Ling-2.6-flash vs Mistral: Mistral Small 4

Mistral Small 4 (medium) unggul dalam skor rata-rata dengan 5.1 vs 4.9. Ling-2.6-flash memiliki biaya benchmark lebih rendah di $0.002 vs $0.096. Ling-2.6-flash lebih cepat di 10.68s vs 10.77s, dengan tingkat keberhasilan 30.3% vs 42.4%.

Model yang direkomendasikanMistral Small 4 (medium)It has the strongest score in this comparison (5.1) and the best overall balance of cost and response time across all 2 models.

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 Mistral Small 4 Mistral Small 4 medium Rilis: 2026-03-16
Skor 4.9 5.1
Peringkat #184 #173
Keandalan 10.0 10.0
Konsistensi 9.3 7.0
Tes benar
Tingkat lulus per percobaan 30.3% 42.4%
Tes tidak stabil 2 8
Total Run 66 66
Biaya per hasil 0.024 1.913
Total Biaya $0.002 $0.096
Harga input $0.010 / 1M $0.150 / 1M
Harga output $0.030 / 1M $0.600 / 1M
Total token input 114,375 140,494
Token output 14,903 39,462
Token penalaran 0 92,362
Waktu respons (rata-rata) 10.68s 10.77s
Waktu respons (maks) 36.03s 59.15s
Waktu respons (total) 213.51s 236.94s

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

#173 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-flash 5.3 10.0 33.3% 0 11.21s 813 381 0
Mistral Small 4 4.4 5.1 33.3% 2 39.98s 7,636 11,635 54,715

Perbandingan Cepat

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