- Peringkat
- #65
- Total token output
- 871,126
- Waktu respons (rata-rata)
- 61.35s
- Total Biaya
- $0.537
DeepSeek V4.1 Flash (max) vs MiMo-V2.6-Pro (medium)
MiMo-V2.6-Pro (medium) unggul dalam skor rata-rata dengan 8.4 vs 8.3. MiMo-V2.6-Pro (medium) memiliki biaya benchmark lebih rendah di $0.477 vs $0.537. DeepSeek V4.1 Flash (max) lebih cepat di 61.35s vs 147.50s, dengan tingkat keberhasilan 68.2% vs 77.3%.
Model yang Dibandingkan
- Peringkat
- #61
- Total token output
- 502,443
- Waktu respons (rata-rata)
- 147.50s
- Total Biaya
- $0.477
Model yang direkomendasikan
DeepSeek V4.1 Flash (max)
Its score stays close to the best score here (8.3 vs 8.4), while responding about 2.4x faster than MiMo-V2.6-Pro (medium).
Perbandingan terperinci
| Metrik | DeepSeek V4.1 Flash DeepSeek V4.1 Flash max | MiMo-V2.6-Pro MiMo-V2.6-Pro medium |
|---|---|---|
| Skor | 8.3 | 8.4 |
| Peringkat | #65 | #61 |
| Keandalan | 9.1 | 9.4 |
| Konsistensi | 9.2 | 7.5 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 68.2% | 77.3% |
| Tes tidak stabil | 2 | 7 |
| Total Run | 66 | 66 |
| Biaya per hasil | 3.829 | 3.666 |
| Total Biaya | $0.537 | $0.477 |
| Harga input | $0.150 / 1M | $0.435 / 1M |
| Harga output | $0.600 / 1M | $0.870 / 1M |
| Total token input | 89,024 | 90,486 |
| Token output | 5,558 | 6,569 |
| Token penalaran | 865,568 | 495,874 |
| Waktu respons (rata-rata) | 61.35s | 147.50s |
| Waktu respons (maks) | 335.08s | 904.91s |
| Waktu respons (total) | 1349.61s | 3245.08s |
| Parameter | 748B total (16B aktif) | 1.02T total (42B aktif) |
| Ketersediaan | Sumber terbuka | Sumber terbuka |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#65 DeepSeek V4.1 Flash
max- Biaya
- $0.066
- Waktu
- 211.0s
- Token
- 54,712 tok
#61 MiMo-V2.6-Pro
medium- Biaya
- $0.012
- Waktu
- 185.6s
- Token
- 13,493 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 V4.1 Flash | 8.3 | 10.0 | 75.0% | 0 | 4.35s | 852 | 213 | 7,262 | |
| MiMo-V2.6-Pro | 7.3 | 5.8 | 83.3% | 2 | 2.76s | 621 | 326 | 1,342 |
| 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 | 10.0 | 10.0 | 100.0% | 0 | 62.50s | 7,509 | 373 | 132,357 | |
| MiMo-V2.6-Pro | 8.2 | 7.2 | 88.9% | 1 | 150.44s | 7,422 | 785 | 94,571 |
| 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 | 10.0 | 10.0 | 100.0% | 0 | 160.31s | 66,677 | 4,031 | 221,091 | |
| MiMo-V2.6-Pro | 10.0 | 10.0 | 100.0% | 0 | 50.80s | 65,640 | 4,086 | 25,278 |
| 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 | 6.5 | 10.0 | 50.0% | 0 | 4.56s | 2,397 | 120 | 2,047 | |
| MiMo-V2.6-Pro | 10.0 | 10.0 | 100.0% | 0 | 2.71s | 7,746 | 258 | 851 |
| 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 | 3.6 | 7.2 | 22.2% | 1 | 198.41s | 909 | 27 | 384,462 | |
| MiMo-V2.6-Pro | 2.9 | 7.2 | 11.1% | 1 | 619.70s | 549 | 26 | 179,307 |
| 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 | 10.0 | 10.0 | 100.0% | 0 | 4.00s | 549 | 148 | 1,093 | |
| MiMo-V2.6-Pro | 10.0 | 10.0 | 100.0% | 0 | 5.70s | 492 | 134 | 701 |
| 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 | 10.0 | 10.0 | 100.0% | 0 | 7.64s | 783 | 63 | 2,293 | |
| MiMo-V2.6-Pro | 8.4 | 6.9 | 83.3% | 1 | 1.79s | 672 | 75 | 670 |
| 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 | 5.5 | 7.1 | 44.4% | 1 | 30.82s | 828 | 339 | 54,014 | |
| MiMo-V2.6-Pro | 8.4 | 7.4 | 88.9% | 1 | 92.20s | 660 | 627 | 50,973 |
| 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 | 10.0 | 10.0 | 100.0% | 0 | 9.49s | 8,259 | 228 | 693 | |
| MiMo-V2.6-Pro | 10.0 | 10.0 | 100.0% | 0 | 3.60s | 6,474 | 241 | 196 |
| 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 | 3.0 | 10.0 | 0.0% | 0 | 98.48s | 261 | 16 | 60,256 | |
| MiMo-V2.6-Pro | 2.8 | 1.6 | 33.3% | 1 | 527.13s | 210 | 11 | 141,985 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
Qwen3.8 27BhighvsMiMo-V2.6-PromediumInkling SmallhighvsMiMo-V2.6-PromediumGrok 4.5lowvsMiMo-V2.6-PromediumDeepSeek V4.1 FlashmaxvsMuse Spark 1.1lowDeepSeek V4.1 FlashmaxvsInkling SmallhighMiMo-V2.6-PromediumvsGLM 5.3 FlashXmaxSeed 2.1 TurbomediumvsDeepSeek V4.1 FlashmaxDeepSeek V4.1 FlashmaxvsQwen3.8 27BhighDeepSeek V4.1 FlashmaxvsGPT-5.2mediumClaude Fable 5.1mediumvsDeepSeek V4.1 FlashmaxDeepSeek V4.1 FlashmaxvsGrok 4.5lowMuse Spark 1.2lowvsMiMo-V2.6-Promedium