#58 DeepSeek V4 Pro
none
SVG tidak valid
- Biaya
- $0.000
- Waktu
- 300.0s
- Token
- 0 tok
AI BENCHY Compare
DeepSeek: DeepSeek V4 Pro vs Xiaomi: MiMo-V2-Flash
Ringkasan
Perbandingan benchmark DeepSeek V4 Pro vs MiMo-V2-Flash: DeepSeek V4 Pro unggul dalam skor rata-rata dengan 7.2 vs 7.1. DeepSeek V4 Pro memiliki biaya benchmark lebih rendah di $0.034 vs $0.043. DeepSeek V4 Pro lebih cepat di 6.41s vs 20.11s, dengan tingkat keberhasilan 52.4% vs 65.1%.
Model yang direkomendasikan: DeepSeek V4 Pro - It has the best score here (7.2), while responding about 3.1x faster than MiMo-V2-Flash.
Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-06-18
| Metrik | DeepSeek V4 Pro DeepSeek V4 Pro none | MiMo-V2-Flash MiMo-V2-Flash medium |
|---|---|---|
| Skor | 7.2 | 7.1 |
| Peringkat | #58 | #62 |
| Keandalan | 9.9 | 10.0 |
| Konsistensi | 8.8 | 8.8 |
| Tes benar | ||
| Tingkat lulus per percobaan | 52.4% | 65.1% |
| Tes tidak stabil | 3 | 3 |
| Total Run | 63 | 63 |
| Biaya per hasil | 0.333 | 0.343 |
| Total Biaya | $0.034 | $0.043 |
| Harga input | $0.435 / 1M | $0.100 / 1M |
| Harga output | $0.870 / 1M | $0.300 / 1M |
| Total token input | 53,558 | 40,111 |
| Token output | 11,424 | 12,476 |
| Token penalaran | 0 | 125,039 |
| Waktu respons (rata-rata) | 6.41s | 20.11s |
| Waktu respons (maks) | 30.09s | 96.01s |
| Waktu respons (total) | 134.66s | 301.59s |
Showcase generasi
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#62 MiMo-V2-Flash
medium
SVG tidak valid
- Biaya
- $0.020
- Waktu
- 284.1s
- Token
- 65,689 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 3.2 | 6.1 | 16.7% | 2 | 4.02s | 540 | 1,168 | 0 | |
| MiMo-V2-Flash | 8.1 | 7.9 | 83.3% | 1 | 15.85s | 621 | 1,674 | 23,559 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 5.6 | 10.0 | 33.3% | 0 | 13.38s | 7,275 | 5,500 | 0 | |
| MiMo-V2-Flash | 6.0 | 7.2 | 55.6% | 1 | 10.71s | 7,177 | 474 | 13,505 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 9.5 | 10.0 | 100.0% | 0 | 23.74s | 27,529 | 2,235 | 0 | |
| MiMo-V2-Flash | 9.8 | 10.0 | 100.0% | 0 | 75.68s | 18,676 | 442 | 26,859 |
| 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 Pro | 10.0 | 10.0 | 100.0% | 0 | 4.61s | 7,568 | 200 | 0 | |
| MiMo-V2-Flash | 6.5 | 10.0 | 50.0% | 0 | 0ms | 2,622 | 153 | 0 |
| 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 Pro | 5.3 | 10.0 | 33.3% | 0 | 3.72s | 666 | 24 | 0 | |
| MiMo-V2-Flash | 5.9 | 7.2 | 55.6% | 1 | 96.01s | 739 | 8,374 | 42,461 |
| 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 Pro | 5.0 | 10.0 | 0.0% | 0 | 2.05s | 471 | 126 | 0 | |
| MiMo-V2-Flash | 4.0 | 10.0 | 0.0% | 0 | 4.20s | 492 | 87 | 488 |
| 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 Pro | 6.3 | 5.8 | 66.7% | 1 | 4.12s | 627 | 713 | 0 | |
| MiMo-V2-Flash | 10.0 | 10.0 | 100.0% | 0 | 4.28s | 678 | 75 | 3,504 |
| 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 Pro | 10.0 | 10.0 | 100.0% | 0 | 3.61s | 594 | 442 | 0 | |
| MiMo-V2-Flash | 7.7 | 10.0 | 66.7% | 0 | 3.87s | 670 | 864 | 1,948 |
| 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 Pro | 10.0 | 10.0 | 100.0% | 0 | 7.40s | 8,105 | 328 | 0 | |
| MiMo-V2-Flash | 10.0 | 10.0 | 100.0% | 0 | 27.78s | 8,220 | 321 | 12,715 |
| 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 Pro | 3.0 | 10.0 | 0.0% | 0 | 5.76s | 183 | 688 | 0 | |
| MiMo-V2-Flash | 3.0 | 10.0 | 0.0% | 0 | 1.96s | 216 | 12 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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