- Peringkat
- #52
- Total token output
- 452,940
- Waktu respons (rata-rata)
- 32.78s
- Total Biaya
- $0.287
DeepSeek V4.1 Flash (high) vs Qwen3.8 Max (low)
Qwen3.8 Max (low) unggul dalam skor rata-rata dengan 8.6 vs 8.5. DeepSeek V4.1 Flash (high) memiliki biaya benchmark lebih rendah di $0.287 vs $0.702. Qwen3.8 Max (low) lebih cepat di 21.83s vs 32.78s, dengan tingkat keberhasilan 74.2% vs 80.3%.
Model yang Dibandingkan
- Peringkat
- #49
- Total token output
- 83,821
- Waktu respons (rata-rata)
- 21.83s
- Total Biaya
- $0.702
Model yang direkomendasikan
DeepSeek V4.1 Flash (high)
Its score stays close to the best score here (8.5 vs 8.6), while costing about 2.4x less than Qwen3.8 Max (low).
Perbandingan terperinci
| Metrik | DeepSeek V4.1 Flash DeepSeek V4.1 Flash high | Qwen3.8 Max Qwen3.8 Max low |
|---|---|---|
| Skor | 8.5 | 8.6 |
| Peringkat | #52 | #49 |
| Keandalan | 9.6 | 10.0 |
| Konsistensi | 8.9 | 9.0 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 74.2% | 80.3% |
| Tes tidak stabil | 3 | 3 |
| Total Run | 66 | 66 |
| Biaya per hasil | 1.912 | 4.384 |
| Total Biaya | $0.287 | $0.702 |
| Harga input | $0.150 / 1M | $2.000 / 1M |
| Harga output | $0.600 / 1M | $6.000 / 1M |
| Total token input | 100,111 | 99,181 |
| Token output | 6,642 | 6,132 |
| Token penalaran | 446,298 | 77,689 |
| Waktu respons (rata-rata) | 32.78s | 21.83s |
| Waktu respons (maks) | 205.53s | 155.75s |
| Waktu respons (total) | 721.15s | 480.37s |
| Parameter | 748B total (16B aktif) | 2.4T total (~100B 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
high- Biaya
- $0.035
- Waktu
- 111.0s
- Token
- 29,201 tok
#49 Qwen3.8 Max
low- Biaya
- $0.026
- Waktu
- 68.5s
- Token
- 4,280 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 | 3.42s | 852 | 170 | 5,348 | |
| Qwen3.8 Max | 10.0 | 10.0 | 100.0% | 0 | 3.93s | 984 | 228 | 1,750 |
| 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 | 49.19s | 7,509 | 376 | 108,285 | |
| Qwen3.8 Max | 8.4 | 7.4 | 88.9% | 1 | 28.69s | 8,127 | 512 | 15,952 |
| 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 | 27.63s | 77,764 | 5,152 | 31,635 | |
| Qwen3.8 Max | 10.0 | 10.0 | 100.0% | 0 | 98.19s | 69,994 | 4,221 | 32,937 |
| 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 | 4.19s | 2,397 | 120 | 1,584 | |
| Qwen3.8 Max | 10.0 | 10.0 | 100.0% | 0 | 7.87s | 7,938 | 270 | 2,257 |
| 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 | 5.3 | 7.2 | 44.4% | 1 | 127.30s | 909 | 28 | 249,623 | |
| Qwen3.8 Max | 2.9 | 7.2 | 11.1% | 1 | 40.12s | 1,014 | 62 | 19,512 |
| 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 | 4.16s | 549 | 120 | 1,130 | |
| Qwen3.8 Max | 6.5 | 3.4 | 66.7% | 1 | 5.29s | 594 | 128 | 568 |
| 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 | 7.06s | 783 | 63 | 1,972 | |
| Qwen3.8 Max | 10.0 | 10.0 | 100.0% | 0 | 4.01s | 855 | 102 | 851 |
| 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 | 6.4 | 4.9 | 66.7% | 2 | 14.27s | 828 | 339 | 23,969 | |
| Qwen3.8 Max | 9.9 | 10.0 | 100.0% | 0 | 4.11s | 930 | 286 | 1,304 |
| 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 | 15.28s | 8,259 | 258 | 506 | |
| Qwen3.8 Max | 10.0 | 10.0 | 100.0% | 0 | 8.06s | 8,463 | 295 | 693 |
| 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 | 38.05s | 261 | 16 | 22,246 | |
| Qwen3.8 Max | 3.0 | 10.0 | 0.0% | 0 | 12.43s | 282 | 28 | 1,865 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
DeepSeek V4.1 FlashhighvsGrok 4.5mediumDeepSeek V4.1 FlashhighvsMuse Spark 1.2lowGPT-5.4mediumvsQwen3.8 MaxlowDeepSeek V4.1 FlashhighvsGrok 4.6mediumDeepSeek V4.1 FlashhighvsGPT-5.4mediumClaude Fable 5mediumvsQwen3.8 MaxlowDeepSeek V4.1 FlashhighvsGrok 4.5lowMuse Spark 1.1mediumvsQwen3.8 MaxlowMuse Spark 1.2mediumvsQwen3.8 MaxlowDeepSeek V4.1 FlashhighvsGPT-5.2mediumDeepSeek V4.1 FlashmediumvsQwen3.8 MaxlowSeed 2.1 TurbomediumvsDeepSeek V4.1 Flashhigh