- Peringkat
- #52
- Total token output
- 347,963
- Waktu respons (rata-rata)
- 26.77s
- Total Biaya
- $0.448
DeepSeek V4.1 Flash (low) vs Muse Spark 1.2 (medium)
Muse Spark 1.2 (medium) unggul dalam skor rata-rata dengan 8.6 vs 8.5. DeepSeek V4.1 Flash (low) memiliki biaya benchmark lebih rendah di $0.448 vs $1.339. Muse Spark 1.2 (medium) lebih cepat di 19.67s vs 26.77s, dengan tingkat keberhasilan 74.2% vs 74.2%.
Model yang Dibandingkan
- Peringkat
- #46
- Total token output
- 278,664
- Waktu respons (rata-rata)
- 19.67s
- Total Biaya
- $1.339
Model yang direkomendasikan
DeepSeek V4.1 Flash (low)
Its score stays close to the best score here (8.5 vs 8.6), while costing about 3.0x less than Muse Spark 1.2 (medium).
Perbandingan terperinci
| Metrik | DeepSeek V4.1 Flash DeepSeek V4.1 Flash low | Muse Spark 1.2 Muse Spark 1.2 medium |
|---|---|---|
| Skor | 8.5 | 8.6 |
| Peringkat | #52 | #46 |
| Keandalan | 9.5 | 10.0 |
| Konsistensi | 8.9 | 8.7 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 74.2% | 74.2% |
| Tes tidak stabil | 3 | 4 |
| Total Run | 66 | 66 |
| Biaya per hasil | 1.492 | 9.564 |
| Total Biaya | $0.448 | $1.339 |
| Harga input | $0.300 / 1M | $1.250 / 1M |
| Harga output | $1.200 / 1M | $4.250 / 1M |
| Total token input | 99,715 | 123,680 |
| Token output | 6,381 | 7,222 |
| Token penalaran | 341,582 | 271,442 |
| Waktu respons (rata-rata) | 26.77s | 19.67s |
| Waktu respons (maks) | 149.84s | 142.49s |
| Waktu respons (total) | 589.01s | 432.72s |
| Parameter | 748B total (16B aktif) | ~1T total (~50B aktif) |
| Ketersediaan | Sumber terbuka | Tertutup |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#52 DeepSeek V4.1 Flash
low- Biaya
- $0.017
- Waktu
- 43.6s
- Token
- 14,069 tok
#46 Muse Spark 1.2
medium- Biaya
- $0.033
- Waktu
- 21.8s
- Token
- 7,846 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 | 3.32s | 852 | 171 | 4,328 | |
| Muse Spark 1.2 | 7.3 | 6.2 | 75.0% | 2 | 5.38s | 618 | 369 | 9,916 |
| 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 | 40.66s | 7,509 | 378 | 81,978 | |
| Muse Spark 1.2 | 10.0 | 10.0 | 100.0% | 0 | 17.49s | 7,275 | 353 | 33,215 |
| 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 | 24.73s | 77,368 | 4,906 | 24,016 | |
| Muse Spark 1.2 | 8.5 | 10.0 | 50.0% | 0 | 24.89s | 95,942 | 5,020 | 33,103 |
| 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 | 3.80s | 2,397 | 120 | 1,149 | |
| Muse Spark 1.2 | 10.0 | 10.0 | 100.0% | 0 | 6.42s | 6,969 | 240 | 5,342 |
| 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 | 3.5 | 4.4 | 33.3% | 2 | 95.58s | 909 | 27 | 184,701 | |
| Muse Spark 1.2 | 5.3 | 10.0 | 33.3% | 0 | 77.22s | 738 | 104 | 162,623 |
| 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 | 4.34s | 549 | 117 | 1,319 | |
| Muse Spark 1.2 | 6.1 | 3.1 | 66.7% | 1 | 10.67s | 477 | 131 | 3,970 |
| 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 | 8.38s | 783 | 63 | 1,546 | |
| Muse Spark 1.2 | 9.8 | 10.0 | 100.0% | 0 | 4.40s | 669 | 117 | 4,950 |
| 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 | 8.2 | 7.7 | 77.8% | 1 | 9.39s | 828 | 273 | 14,502 | |
| Muse Spark 1.2 | 8.7 | 7.7 | 88.9% | 1 | 9.45s | 651 | 387 | 11,155 |
| 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 | 13.83s | 8,259 | 313 | 284 | |
| Muse Spark 1.2 | 10.0 | 10.0 | 100.0% | 0 | 3.89s | 10,158 | 459 | 1,314 |
| 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 | 46.86s | 261 | 13 | 27,759 | |
| Muse Spark 1.2 | 3.0 | 10.0 | 0.0% | 0 | 12.79s | 183 | 42 | 5,854 |
Perbandingan Cepat
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