- Peringkat
- #250
- Total token output
- 292,779
- Waktu respons (rata-rata)
- 16.63s
- Total Biaya
- $0.123
DeepSeek V4.1 Flash vs GPT-5 Nano (medium)
Skor rata-rata hampir imbang di 5.8 vs 5.7. DeepSeek V4.1 Flash memiliki biaya benchmark lebih rendah di $0.123 vs $0.139. DeepSeek V4.1 Flash lebih cepat di 16.63s vs 56.55s, dengan tingkat keberhasilan 36.2% vs 53.6%.
Model yang Dibandingkan
- Peringkat
- #254
- Total token output
- 307,921
- Waktu respons (rata-rata)
- 56.55s
- Total Biaya
- $0.139
Model yang direkomendasikan
DeepSeek V4.1 Flash
It has the best score here (5.8), while responding about 3.4x faster than GPT-5 Nano (medium).
Perbandingan terperinci
| Metrik | DeepSeek V4.1 Flash DeepSeek V4.1 Flash none | GPT-5 Nano GPT-5 Nano medium |
|---|---|---|
| Skor | 5.8 | 5.7 |
| Peringkat | #250 | #254 |
| Keandalan | 9.7 | 10.0 |
| Konsistensi | 9.1 | 6.5 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 36.2% | 53.6% |
| Tes tidak stabil | 3 | 10 |
| Total Run | 69 | 69 |
| Biaya per hasil | 2.806 | 1.737 |
| Total Biaya | $0.123 | $0.139 |
| Harga input | $0.020 / 1M | $0.050 / 1M |
| Harga output | $0.396 / 1M | $0.400 / 1M |
| Total token input | 337,756 | 314,436 |
| Token output | 292,779 | 13,578 |
| Token penalaran | 0 | 294,343 |
| Waktu respons (rata-rata) | 16.63s | 56.55s |
| Waktu respons (maks) | 247.66s | 227.89s |
| Waktu respons (total) | 382.53s | 961.32s |
| Parameter | 748B total (16B aktif) | ~120B total (~5B aktif) |
| Ketersediaan | Sumber terbuka | Tertutup |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#250 DeepSeek V4.1 Flash
none- Biaya
- $0.021
- Waktu
- 55.4s
- Token
- 17,181 tok
#254 GPT-5 Nano
medium- Biaya
- $0.006
- Waktu
- 108.5s
- Token
- 13,209 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
| 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 | 7.4 | 3.8 | 66.7% | 1 | 55.81s | 200,069 | 18,999 | 0 | |
| GPT-5 Nano | 4.7 | 3.1 | 33.3% | 1 | 94.09s | 219,492 | 1,541 | 23,943 |
| 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 | 3.7 | 8.4 | 8.3% | 1 | 1.90s | 552 | 907 | 0 | |
| GPT-5 Nano | 6.5 | 7.9 | 58.3% | 1 | 25.50s | 606 | 1,221 | 21,184 |
| 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 | 5.5 | 10.0 | 33.3% | 0 | 83.66s | 7,284 | 263,438 | 0 | |
| GPT-5 Nano | 7.0 | 7.7 | 55.6% | 1 | 41.62s | 7,305 | 740 | 41,152 |
| 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 | 3.0 | 10.0 | 0.0% | 0 | 10.37s | 116,933 | 8,699 | 0 | |
| GPT-5 Nano | 6.4 | 5.8 | 66.7% | 1 | 146.93s | 71,846 | 7,156 | 86,976 |
| 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 | 3.09s | 2,322 | 117 | 0 | |
| GPT-5 Nano | 3.7 | 1.7 | 50.0% | 2 | 21.42s | 7,140 | 453 | 10,560 |
| 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 | 7.7 | 10.0 | 66.7% | 0 | 5.46s | 684 | 21 | 0 | |
| GPT-5 Nano | 3.4 | 1.6 | 44.4% | 3 | 124.13s | 628 | 232 | 73,792 |
| 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 | 5.5 | 10.0 | 0.0% | 0 | 1.69s | 474 | 93 | 0 | |
| GPT-5 Nano | 4.1 | 10.0 | 0.0% | 0 | 17.51s | 477 | 202 | 4,608 |
| 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 | 6.5 | 10.0 | 50.0% | 0 | 6.81s | 633 | 62 | 0 | |
| GPT-5 Nano | 9.8 | 10.0 | 100.0% | 0 | 15.64s | 660 | 312 | 4,736 |
| 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 | 5.3 | 7.2 | 44.4% | 1 | 1.49s | 603 | 215 | 0 | |
| GPT-5 Nano | 5.3 | 7.2 | 44.4% | 1 | 20.63s | 642 | 929 | 14,272 |
| 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 | 3.76s | 8,016 | 219 | 0 | |
| GPT-5 Nano | 10.0 | 10.0 | 100.0% | 0 | 33.30s | 5,445 | 558 | 6,976 |
| 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 | 1.32s | 186 | 9 | 0 | |
| GPT-5 Nano | 3.0 | 10.0 | 0.0% | 0 | 20.13s | 195 | 234 | 6,144 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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