- Peringkat
- #296
- Total token output
- 16,806
- Waktu respons (rata-rata)
- 3.46s
- Total Biaya
- $0.055
DeepSeek V4.1 Flash 1017 vs GPT-5 Nano (medium)
DeepSeek V4.1 Flash 1017 unggul dalam skor rata-rata dengan 5.8 vs 5.7. DeepSeek V4.1 Flash 1017 memiliki biaya benchmark lebih rendah di $0.055 vs $0.159. DeepSeek V4.1 Flash 1017 lebih cepat di 3.46s vs 56.55s, dengan tingkat keberhasilan 36.2% vs 53.6%.
Model yang Dibandingkan
- Peringkat
- #302
- Total token output
- 307,921
- Waktu respons (rata-rata)
- 56.55s
- Total Biaya
- $0.159
Model yang direkomendasikan
DeepSeek V4.1 Flash 1017
It has the best score here (5.8), while costing about 2.9x less than GPT-5 Nano (medium).
Perbandingan terperinci
| Metrik | DeepSeek V4.1 Flash 1017 DeepSeek V4.1 Flash 1017 none | GPT-5 Nano GPT-5 Nano medium |
|---|---|---|
| Skor | 5.8 | 5.7 |
| Peringkat | #296 | #302 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 9.7 | 6.5 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 36.2% | 53.6% |
| Tes tidak stabil | 1 | 10 |
| Total Run | 69 | 69 |
| Biaya per hasil | 0.678 | 1.737 |
| Total Biaya | $0.055 | $0.159 |
| Harga input | $0.150 / 1M | $0.050 / 1M |
| Harga output | $0.600 / 1M | $0.400 / 1M |
| Harga baca cache | $0.003 / 1M | $0.005 / 1M |
| Harga tulis cache | T/A | T/A |
| Total token input | 293,927 | 314,436 |
| Token output | 16,806 | 13,578 |
| Token penalaran | 0 | 294,343 |
| Waktu respons (rata-rata) | 3.46s | 56.55s |
| Waktu respons (maks) | 43.95s | 227.89s |
| Waktu respons (total) | 79.48s | 961.32s |
| Parameter | ~748B total (~16B aktif) | ~120B total (~5B aktif) |
| Ketersediaan | Sumber terbuka | Tertutup |
Harga cache berlaku untuk token input. Pembacaan memakai kembali prompt tersimpan; penulisan menyimpannya dan dapat menambah biaya. Token output menggunakan harga output.
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#296 DeepSeek V4.1 Flash 1017
none- Biaya
- $0.001
- Waktu
- 7.1s
- Token
- 2,012 tok
#302 GPT-5 Nano
medium- Biaya
- $0.006
- Waktu
- 108.5s
- Token
- 13,209 tok
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 1017 | 5.0 | 10.0 | 0.0% | 0 | 43.95s | 168,815 | 3,381 | 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 1017 | 3.6 | 10.0 | 0.0% | 0 | 1.14s | 552 | 990 | 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 1017 | 5.6 | 9.9 | 33.3% | 0 | 2.38s | 7,284 | 3,922 | 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 1017 | 3.0 | 10.0 | 0.0% | 0 | 7.51s | 99,393 | 7,551 | 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 1017 | 10.0 | 10.0 | 100.0% | 0 | 544ms | 7,296 | 201 | 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 1017 | 7.7 | 10.0 | 66.7% | 0 | 463ms | 684 | 30 | 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 1017 | 5.1 | 3.4 | 33.3% | 1 | 616ms | 474 | 113 | 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 1017 | 6.5 | 10.0 | 50.0% | 0 | 608ms | 633 | 60 | 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 1017 | 5.4 | 10.0 | 33.3% | 0 | 750ms | 603 | 315 | 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 1017 | 10.0 | 10.0 | 100.0% | 0 | 1.60s | 8,007 | 228 | 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 1017 | 3.0 | 10.0 | 0.0% | 0 | 655ms | 186 | 15 | 0 | |
| GPT-5 Nano | 3.0 | 10.0 | 0.0% | 0 | 20.13s | 195 | 234 | 6,144 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
Trinity Large ThinkinghighvsGPT-5 NanomediumMistral Large 4nonevsGPT-5 NanomediumSeed 2.1 TurbononevsGPT-5 NanomediumLing 3.0 FlashhighvsGPT-5 NanomediumDeepSeek V4.1 FlashnonevsGPT-5 NanomediumGemma 4 31BnoneTersedia gratisvsGPT-5 NanomediumDeepSeek V4.1 Flash 1017nonevsLing 3.0 FlashhighGPT-5 NanomediumvsSpace Bunny AlphalowDeepSeek V4.1 Flash 1017nonevsgpt-oss-120bmediumDeepSeek V4.1 Flash 1017nonevsRing 2.6 1tmediumTrinity Large ThinkinghighvsDeepSeek V4.1 Flash 1017noneGPT-5 NanomediumvsQwen3.8 Flash Nextnone