#58 DeepSeek V4 Pro
none
SVG tidak valid
- Biaya
- $0.000
- Waktu
- 300.0s
- Token
- 0 tok
AI BENCHY Compare
DeepSeek: DeepSeek V4 Pro vs Qwen: Qwen3.6 35B A3B
Ringkasan
Perbandingan benchmark DeepSeek V4 Pro vs Qwen3.6 35B A3B: DeepSeek V4 Pro unggul dalam skor rata-rata dengan 7.2 vs 6.7. DeepSeek V4 Pro memiliki biaya benchmark lebih rendah di $0.034 vs $0.146. DeepSeek V4 Pro lebih cepat di 6.41s vs 18.08s, dengan tingkat keberhasilan 52.4% vs 63.5%.
Model yang direkomendasikan: DeepSeek V4 Pro - It has the best score here (7.2), while costing about 4.4x less than Qwen3.6 35B A3B.
Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-06-18
| Metrik | DeepSeek V4 Pro DeepSeek V4 Pro none | Qwen3.6 35B A3B Qwen3.6 35B A3B medium |
|---|---|---|
| Skor | 7.2 | 6.7 |
| Peringkat | #58 | #75 |
| Keandalan | 9.9 | 10.0 |
| Konsistensi | 8.8 | 9.6 |
| Tes benar | ||
| Tingkat lulus per percobaan | 52.4% | 63.5% |
| Tes tidak stabil | 3 | 1 |
| Total Run | 63 | 63 |
| Biaya per hasil | 0.333 | 1.094 |
| Total Biaya | $0.034 | $0.146 |
| Harga input | $0.435 / 1M | $0.140 / 1M |
| Harga output | $0.870 / 1M | $1.000 / 1M |
| Total token input | 53,558 | 16,385 |
| Token output | 11,424 | 19,632 |
| Token penalaran | 0 | 130,219 |
| Waktu respons (rata-rata) | 6.41s | 18.08s |
| Waktu respons (maks) | 30.09s | 86.11s |
| Waktu respons (total) | 134.66s | 343.61s |
Showcase generasi
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#75 Qwen3.6 35B A3B
medium
SVG tidak valid
- Biaya
- $0.000
- Waktu
- 300.0s
- Token
- 0 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 Pro | 3.2 | 6.1 | 16.7% | 2 | 4.02s | 540 | 1,168 | 0 | |
| Qwen3.6 35B A3B | 10.0 | 10.0 | 100.0% | 0 | 6.02s | 672 | 1,154 | 12,385 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 5.6 | 10.0 | 33.3% | 0 | 13.38s | 7,275 | 5,500 | 0 | |
| Qwen3.6 35B A3B | 7.7 | 10.0 | 66.7% | 0 | 50.55s | 5,051 | 7,929 | 37,223 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 9.5 | 10.0 | 100.0% | 0 | 23.74s | 27,529 | 2,235 | 0 | |
| Qwen3.6 35B A3B | 3.0 | 10.0 | 0.0% | 0 | 0ms | 0 | 0 | 0 |
| 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 Pro | 10.0 | 10.0 | 100.0% | 0 | 4.61s | 7,568 | 200 | 0 | |
| Qwen3.6 35B A3B | 10.0 | 10.0 | 100.0% | 0 | 12.99s | 7,776 | 2,591 | 9,968 |
| 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 Pro | 5.3 | 10.0 | 33.3% | 0 | 3.72s | 666 | 24 | 0 | |
| Qwen3.6 35B A3B | 5.3 | 7.2 | 44.4% | 1 | 22.50s | 771 | 6,193 | 39,116 |
| 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 Pro | 5.0 | 10.0 | 0.0% | 0 | 2.05s | 471 | 126 | 0 | |
| Qwen3.6 35B A3B | 4.4 | 9.9 | 0.0% | 0 | 8.66s | 516 | 129 | 4,569 |
| 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 Pro | 6.3 | 5.8 | 66.7% | 1 | 4.12s | 627 | 713 | 0 | |
| Qwen3.6 35B A3B | 10.0 | 10.0 | 100.0% | 0 | 7.50s | 699 | 219 | 7,404 |
| 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 Pro | 10.0 | 10.0 | 100.0% | 0 | 3.61s | 594 | 442 | 0 | |
| Qwen3.6 35B A3B | 8.0 | 10.0 | 66.7% | 0 | 5.95s | 696 | 655 | 9,228 |
| 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 Pro | 10.0 | 10.0 | 100.0% | 0 | 7.40s | 8,105 | 328 | 0 | |
| Qwen3.6 35B A3B | 3.0 | 10.0 | 0.0% | 0 | 0ms | 0 | 0 | 0 |
| 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 Pro | 3.0 | 10.0 | 0.0% | 0 | 5.76s | 183 | 688 | 0 | |
| Qwen3.6 35B A3B | 3.0 | 10.0 | 0.0% | 0 | 32.90s | 204 | 762 | 10,326 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
DeepSeek V4 PrononevsGemma 4 26B A4BmediumTersedia gratisDeepSeek V4 PrononevsStep 3.7 FlashhighDeepSeek V4 PrononevsGLM 5.1mediumGemini 3.5 FlashminimalvsQwen3.6 35B A3BmediumDeepSeek V4 PrononevsKimi K2.7 CodemediumDeepSeek V4 PrononevsGrok 4.20mediumGemini 3 Flash PreviewnonevsQwen3.6 35B A3BmediumDeepSeek V4 PrononevsGemini 3 Flash PreviewlowGemini 3.1 Flash Lite PreviewlowvsQwen3.6 35B A3BmediumDeepSeek V4 PrononevsMiMo-V2.5-PromediumSeed-2.0-MinimediumvsDeepSeek V4 PrononeGemini 3.5 FlashnonevsQwen3.6 35B A3Bmedium