- Peringkat
- #307
- Total token output
- 11,555
- Waktu respons (rata-rata)
- 8.16s
- Total Biaya
- $0.012
Ling 2.6 1t vs MiniMax M2.7 (medium)
MiniMax M2.7 (medium) unggul dalam skor rata-rata dengan 5.0 vs 4.9. Ling 2.6 1t memiliki biaya benchmark lebih rendah di $0.012 vs $0.202. Ling 2.6 1t lebih cepat di 8.16s vs 50.32s, dengan tingkat keberhasilan 17.4% vs 44.9%.
Model yang Dibandingkan
- Peringkat
- #298
- Total token output
- 174,351
- Waktu respons (rata-rata)
- 50.32s
- Total Biaya
- $0.202
Model yang direkomendasikan
Ling 2.6 1t
Its score stays close to the best score here (4.9 vs 5.0), while costing about 18.2x less than MiniMax M2.7 (medium).
Perbandingan terperinci
| Metrik | Ling 2.6 1t Ling 2.6 1t none | MiniMax M2.7 MiniMax M2.7 medium |
|---|---|---|
| Skor | 4.9 | 5.0 |
| Peringkat | #307 | #298 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 10.0 | 6.4 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 17.4% | 44.9% |
| Tes tidak stabil | 0 | 10 |
| Total Run | 69 | 69 |
| Biaya per hasil | 0.278 | 5.279 |
| Total Biaya | $0.012 | $0.202 |
| Harga input | $0.000 / 1M | $0.210 / 1M |
| Harga output | $0.000 / 1M | $0.840 / 1M |
| Total token input | 106,423 | 277,130 |
| Token output | 11,555 | 45,188 |
| Token penalaran | 0 | 129,163 |
| Waktu respons (rata-rata) | 8.16s | 50.32s |
| Waktu respons (maks) | 25.72s | 198.82s |
| Waktu respons (total) | 163.24s | 1107.03s |
| Parameter | 1T total (63B aktif) | 230B total (10B aktif) |
| Ketersediaan | Sumber terbuka | Bobot tersedia |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#307 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
#298 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
| Tugas agen | 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 | 3.0 | 10.0 | 0.0% | 0 | 38ms | 0 | 0 | 0 | |
| MiniMax M2.7 | 4.7 | 3.1 | 33.3% | 1 | 198.82s | 162,603 | 26,630 | 17 |
| 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 1t | 3.4 | 10.0 | 0.0% | 0 | 6.55s | 726 | 777 | 0 | |
| MiniMax M2.7 | 7.9 | 6.3 | 83.3% | 2 | 40.32s | 654 | 3,010 | 17,716 |
| 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 | |
| MiniMax M2.7 | 5.7 | 9.1 | 33.3% | 0 | 101.89s | 2,961 | 1,231 | 38,841 |
| 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 1t | 6.5 | 10.0 | 50.0% | 0 | 23.79s | 80,539 | 9,304 | 0 | |
| MiniMax M2.7 | 3.8 | 1.6 | 50.0% | 2 | 72.12s | 94,380 | 9,946 | 33,704 |
| 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 1t | 10.0 | 10.0 | 100.0% | 0 | 1.37s | 8,313 | 285 | 0 | |
| MiniMax M2.7 | 6.3 | 5.8 | 66.7% | 1 | 21.95s | 7,152 | 187 | 5,882 |
| 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 1t | 3.0 | 10.0 | 0.0% | 0 | 1.08s | 819 | 27 | 0 | |
| MiniMax M2.7 | 3.0 | 10.0 | 0.0% | 0 | 39.70s | 254 | 8 | 12,906 |
| 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 1t | 5.0 | 10.0 | 0.0% | 0 | 20.34s | 540 | 140 | 0 | |
| MiniMax M2.7 | 3.9 | 2.5 | 33.3% | 1 | 38.70s | 486 | 92 | 5,204 |
| 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 1t | 6.4 | 10.0 | 50.0% | 0 | 5.36s | 732 | 81 | 0 | |
| MiniMax M2.7 | 3.8 | 5.8 | 33.3% | 1 | 12.80s | 687 | 350 | 2,600 |
| 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 1t | 3.1 | 10.0 | 0.0% | 0 | 5.36s | 729 | 131 | 0 | |
| MiniMax M2.7 | 5.9 | 7.2 | 55.6% | 1 | 24.87s | 675 | 362 | 7,840 |
| 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 1t | 3.0 | 10.0 | 0.0% | 0 | 25.72s | 13,212 | 429 | 0 | |
| MiniMax M2.7 | 4.7 | 1.6 | 66.7% | 1 | 12.05s | 7,067 | 304 | 1,001 |
| 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 1t | 3.0 | 10.0 | 0.0% | 0 | 0ms | 0 | 0 | 0 | |
| MiniMax M2.7 | 3.0 | 10.0 | 0.0% | 0 | 22.77s | 211 | 3,068 | 3,452 |
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