- Peringkat
- #126
- Total token output
- 911,334
- Waktu respons (rata-rata)
- 58.56s
- Total Biaya
- $0.589
DeepSeek V4.1 Flash 1017 (high) vs Ling 3.1 Flash (high)
Skor rata-rata hampir imbang di 7.8 vs 7.9. Ling 3.1 Flash (high) memiliki biaya benchmark lebih rendah di $0.000 vs $0.589. DeepSeek V4.1 Flash 1017 (high) lebih cepat di 58.56s vs 87.39s, dengan tingkat keberhasilan 71.0% vs 69.6%.
Model yang Dibandingkan
- Peringkat
- #125
- Total token output
- 618,331
- Waktu respons (rata-rata)
- 87.39s
- Total Biaya
- $0.000
Model yang direkomendasikan
DeepSeek V4.1 Flash 1017 (high)
Model ini memiliki skor tertinggi dalam perbandingan ini (7.8) dan keseimbangan terbaik antara biaya dan waktu respons di antara 2 model.
Perbandingan terperinci
| Metrik | DeepSeek V4.1 Flash 1017 DeepSeek V4.1 Flash 1017 high | Ling 3.1 Flash Ling 3.1 Flash high |
|---|---|---|
| Skor | 7.8 | 7.9 |
| Peringkat | #126 | #125 |
| Keandalan | 10.0 | 9.8 |
| Konsistensi | 7.8 | 9.3 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 71.0% | 69.6% |
| Tes tidak stabil | 6 | 2 |
| Total Run | 69 | 69 |
| Biaya per hasil | 4.530 | 0.000 |
| Total Biaya | $0.589 | $0.000 |
| Harga input | $0.150 / 1M | $0.000 / 1M |
| Harga output | $0.600 / 1M | $0.000 / 1M |
| Harga baca cache | $0.003 / 1M | T/A |
| Harga tulis cache | T/A | T/A |
| Total token input | 279,873 | 324,691 |
| Token output | 7,049 | 181,251 |
| Token penalaran | 904,285 | 506,441 |
| Waktu respons (rata-rata) | 58.56s | 87.39s |
| Waktu respons (maks) | 440.77s | 665.85s |
| Waktu respons (total) | 1346.87s | 2010.08s |
| Parameter | ~748B total (~16B aktif) | 560B total (25B aktif) |
| Ketersediaan | Sumber terbuka | Tertutup |
Harga cache berlaku untuk token input. Pembacaan memakai kembali prompt tersimpan; penulisan menyimpannya dan dapat menambah biaya. Token output menggunakan harga output.
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#126 DeepSeek V4.1 Flash 1017
high- Biaya
- $0.004
- Waktu
- 27.2s
- Token
- 7,593 tok
#125 Ling 3.1 Flash
high- Biaya
- $0.000
- Waktu
- 181.1s
- Token
- 21,073 tok
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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 43.53s | 144,680 | 1,907 | 4,293 | |
| Ling 3.1 Flash | 10.0 | 10.0 | 100.0% | 0 | 87.42s | 204,838 | 9,381 | 8,546 |
| Trik anti-AI | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 8.3 | 10.0 | 75.0% | 0 | 2.10s | 627 | 137 | 2,440 | |
| Ling 3.1 Flash | 10.0 | 10.0 | 100.0% | 0 | 4.44s | 750 | 1,219 | 3,505 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 4.5 | 1.4 | 66.7% | 3 | 196.67s | 7,434 | 217 | 446,179 | |
| Ling 3.1 Flash | 8.2 | 7.2 | 88.9% | 1 | 83.41s | 8,298 | 17,470 | 54,626 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 37.28s | 107,806 | 3,862 | 41,936 | |
| Ling 3.1 Flash | 6.3 | 10.0 | 50.0% | 0 | 351.19s | 90,556 | 44,145 | 153,951 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 2.20s | 7,446 | 207 | 1,450 | |
| Ling 3.1 Flash | 10.0 | 10.0 | 100.0% | 0 | 17.38s | 8,016 | 1,517 | 3,710 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 3.5 | 4.4 | 33.3% | 2 | 186.02s | 909 | 11 | 382,250 | |
| Ling 3.1 Flash | 3.0 | 10.0 | 0.0% | 0 | 222.88s | 837 | 94,527 | 212,965 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 2.02s | 549 | 120 | 570 | |
| Ling 3.1 Flash | 3.9 | 9.4 | 0.0% | 0 | 7.82s | 546 | 38 | 2,140 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 1.12s | 708 | 69 | 866 | |
| Ling 3.1 Flash | 10.0 | 10.0 | 100.0% | 0 | 4.31s | 744 | 349 | 1,746 |
| Pemecahan teka-teki | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 5.5 | 7.4 | 44.4% | 1 | 5.70s | 828 | 235 | 7,784 | |
| Ling 3.1 Flash | 10.0 | 10.0 | 100.0% | 0 | 37.46s | 747 | 5,017 | 29,548 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 2.28s | 8,625 | 267 | 305 | |
| Ling 3.1 Flash | 2.8 | 2.1 | 33.3% | 1 | 38.25s | 9,131 | 2,943 | 9,161 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 3.0 | 10.0 | 0.0% | 0 | 44.26s | 261 | 17 | 16,212 | |
| Ling 3.1 Flash | 3.0 | 10.0 | 0.0% | 0 | 81.83s | 228 | 4,645 | 26,543 |
Perbandingan Cepat
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