#138 Ling-2.6-flash
none
No showcase result has been generated for this model yet.
- Cost
- $0.000
- Time
- -
- Tokens
- 0 tok
AI BENCHY Compare
inclusionAI: Ling-2.6-flash vs MiniMax: MiniMax M2.5
Ringkasan
Perbandingan benchmark Ling-2.6-flash vs MiniMax M2.5: MiniMax M2.5 unggul dalam skor rata-rata dengan 5.3 vs 5.0. Ling-2.6-flash memiliki biaya benchmark lebih rendah di $0.001 vs $0.385. Ling-2.6-flash lebih cepat di 9.34s vs 65.37s, dengan tingkat keberhasilan 31.8% vs 46.0%.
Model yang direkomendasikan: Ling-2.6-flash - Its score stays close to the best score here (5.0 vs 5.3), while costing about 779.4x less than MiniMax M2.5.
Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-06-04
| Metrik | Ling-2.6-flash Ling-2.6-flash none | MiniMax M2.5 MiniMax M2.5 medium |
|---|---|---|
| Skor | 5.0 | 5.3 |
| Peringkat | #138 | #129 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 9.2 | 6.5 |
| Tes benar | ||
| Tingkat lulus per percobaan | 31.8% | 46.0% |
| Tes tidak stabil | 2 | 9 |
| Total Run | 63 | 63 |
| Biaya per hasil | 0.005 | 7.900 |
| Total Biaya | $0.001 | $0.385 |
| Harga input | $0.010 / 1M | $0.150 / 1M |
| Harga output | $0.030 / 1M | $1.150 / 1M |
| Total token input | 40,718 | 43,706 |
| Token output | 2,878 | 109,495 |
| Token penalaran | 0 | 330,814 |
| Waktu respons (rata-rata) | 9.34s | 65.37s |
| Waktu respons (maks) | 35.34s | 251.36s |
| Waktu respons (total) | 177.48s | 849.76s |
Generation showcase
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#129 MiniMax M2.5
medium
Invalid SVG
- Cost
- $0.000
- Time
- 300.0s
- Tokens
- 0 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
| Trik anti-AI | 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 | 6.8 | 8.1 | 58.3% | 1 | 11.81s | 726 | 573 | 0 | |
| MiniMax M2.5 | 7.9 | 6.3 | 83.3% | 2 | 20.82s | 612 | 286 | 45,344 |
| 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 M2.5 | 3.4 | 9.1 | 0.0% | 0 | 188.58s | 6,076 | 357 | 106,177 |
| Gabungan | 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 | 3.0 | 10.0 | 0.0% | 0 | 35.34s | 20,818 | 1,069 | 0 | |
| MiniMax M2.5 | 4.5 | 2.1 | 66.7% | 1 | 60.39s | 21,104 | 740 | 9,713 |
| Parsing dan ekstraksi data | 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 | 6.5 | 10.0 | 50.0% | 0 | 8.48s | 8,004 | 246 | 0 | |
| MiniMax M2.5 | 4.6 | 1.7 | 66.7% | 2 | 7.48s | 6,584 | 266 | 3,835 |
| Spesifik domain | 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 | 3.0 | 10.0 | 0.0% | 0 | 4.95s | 810 | 24 | 0 | |
| MiniMax M2.5 | 2.9 | 4.4 | 22.2% | 2 | 237.27s | 308 | 105,047 | 133,487 |
| Kecerdasan umum | 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 | 4.0 | 10.0 | 0.0% | 0 | 1.45s | 540 | 109 | 0 | |
| MiniMax M2.5 | 3.8 | 2.5 | 33.3% | 1 | 6.63s | 492 | 25 | 1,686 |
| Kepatuhan instruksi | 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 | 9.8 | 10.0 | 100.0% | 0 | 5.52s | 732 | 81 | 0 | |
| MiniMax M2.5 | 7.5 | 10.0 | 50.0% | 0 | 621ms | 699 | 156 | 1,495 |
| Pemecahan teka-teki | 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 | 2.9 | 7.2 | 11.1% | 1 | 6.51s | 729 | 151 | 0 | |
| MiniMax M2.5 | 5.3 | 7.2 | 44.4% | 1 | 11.21s | 495 | 1,069 | 9,605 |
| Pemanggilan alat | 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 | 3.0 | 10.0 | 0.0% | 0 | 18.80s | 7,324 | 229 | 0 | |
| MiniMax M2.5 | 10.0 | 10.0 | 100.0% | 0 | 15.35s | 7,123 | 269 | 937 |
| Pengetahuan umum | 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 | 3.0 | 10.0 | 0.0% | 0 | 1.06s | 222 | 15 | 0 | |
| MiniMax M2.5 | 3.0 | 10.0 | 0.0% | 0 | 80.79s | 213 | 1,280 | 18,535 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
MiniMax M2.5mediumvsQwen3.5-122B-A10BnoneMiniMax M2.5mediumvsQwen3.6 FlashnoneDeepSeek V3.2nonevsMiniMax M2.5mediumMiniMax M2.5mediumvsGrok 4.20noneMiniMax M2.5mediumvsGLM 5 TurbononeMiniMax M2.5mediumvsgpt-oss-120bnoneTersedia gratisMiniMax M2.5mediumvsKimi K2.5noneMiniMax M2.5mediumvsGPT-5.4noneMiniMax M2.5mediumvsKimi K2.6noneTersedia gratisMiniMax M2.5mediumvsMiMo-V2.5-PrononeMiniMax M2.5mediumvsGLM 4.7 FlashnoneLing-2.6-flashnonevsMistral Small 4medium