#113 DeepSeek V4 Pro
none
Invalid SVG
- Cost
- $0.000
- Time
- 300.0s
- Tokens
- 0 tok
AI BENCHY Compare
DeepSeek: DeepSeek V4 Pro vs inclusionAI: Ling-2.6-flash
Ringkasan
Perbandingan benchmark DeepSeek V4 Pro vs Ling-2.6-flash: DeepSeek V4 Pro unggul dalam skor rata-rata dengan 5.7 vs 5.0. Ling-2.6-flash memiliki biaya benchmark lebih rendah di $0.001 vs $0.025. Ling-2.6-flash lebih cepat di 9.34s vs 12.38s, dengan tingkat keberhasilan 42.9% vs 31.8%.
Model yang direkomendasikan: Ling-2.6-flash - Its score stays close to the best score here (5.0 vs 5.7), while costing about 49.0x less than DeepSeek V4 Pro.
Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-06-04
| Metrik | DeepSeek V4 Pro DeepSeek V4 Pro none | Ling-2.6-flash Ling-2.6-flash none |
|---|---|---|
| Skor | 5.7 | 5.0 |
| Peringkat | #113 | #138 |
| Keandalan | 8.5 | 10.0 |
| Konsistensi | 8.5 | 9.2 |
| Tes benar | ||
| Tingkat lulus per percobaan | 42.9% | 31.8% |
| Tes tidak stabil | 4 | 2 |
| Total Run | 63 | 63 |
| Biaya per hasil | 0.660 | 0.005 |
| Total Biaya | $0.025 | $0.001 |
| Harga input | $0.435 / 1M | $0.010 / 1M |
| Harga output | $0.870 / 1M | $0.030 / 1M |
| Total token input | 44,845 | 40,718 |
| Token output | 5,349 | 2,878 |
| Token penalaran | 0 | 0 |
| Waktu respons (rata-rata) | 12.38s | 9.34s |
| Waktu respons (maks) | 58.65s | 35.34s |
| Waktu respons (total) | 260.06s | 177.48s |
Generation showcase
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#138 Ling-2.6-flash
none
No showcase result has been generated for this model yet.
- Cost
- $0.000
- Time
- -
- Tokens
- 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 | 3.5 | 8.0 | 16.7% | 1 | 14.02s | 540 | 704 | 0 | |
| Ling-2.6-flash | 6.8 | 8.1 | 58.3% | 1 | 11.81s | 726 | 573 | 0 |
| 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 | 4.6 | 7.9 | 22.2% | 1 | 6.11s | 7,279 | 531 | 0 | |
| Ling-2.6-flash | 5.3 | 10.0 | 33.3% | 0 | 11.21s | 813 | 381 | 0 |
| 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 | 25.49s | 20,773 | 1,911 | 0 | |
| Ling-2.6-flash | 3.0 | 10.0 | 0.0% | 0 | 35.34s | 20,818 | 1,069 | 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 | 6.9 | 5.8 | 66.7% | 1 | 30.54s | 5,633 | 170 | 0 | |
| Ling-2.6-flash | 6.5 | 10.0 | 50.0% | 0 | 8.48s | 8,004 | 246 | 0 |
| 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 | 3.17s | 666 | 18 | 0 | |
| Ling-2.6-flash | 3.0 | 10.0 | 0.0% | 0 | 4.95s | 810 | 24 | 0 |
| 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 | 4.3 | 9.9 | 0.0% | 0 | 3.75s | 471 | 132 | 0 | |
| Ling-2.6-flash | 4.0 | 10.0 | 0.0% | 0 | 1.45s | 540 | 109 | 0 |
| 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 | 10.0 | 50.0% | 0 | 8.23s | 627 | 64 | 0 | |
| Ling-2.6-flash | 9.8 | 10.0 | 100.0% | 0 | 5.52s | 732 | 81 | 0 |
| 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 | 7.6 | 7.2 | 77.8% | 1 | 15.95s | 594 | 173 | 0 | |
| Ling-2.6-flash | 2.9 | 7.2 | 11.1% | 1 | 6.51s | 729 | 151 | 0 |
| 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 | 5.92s | 8,079 | 219 | 0 | |
| Ling-2.6-flash | 3.0 | 10.0 | 0.0% | 0 | 18.80s | 7,324 | 229 | 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 | 15.59s | 183 | 1,427 | 0 | |
| Ling-2.6-flash | 3.0 | 10.0 | 0.0% | 0 | 1.06s | 222 | 15 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
CobuddymediumvsDeepSeek V4 PrononeDeepSeek V4 PrononevsNemotron 3 SupermediumTersedia gratisLing-2.6-flashnonevsMistral Small 4mediumLing-2.6-flashnonevsMiniMax M2.7mediumLing-2.6-flashnonevsMiniMax M2.5mediumDeepSeek V4 PrononevsMiniMax M2.5mediumDeepSeek V4 PrononevsMiniMax M2.7mediumLing-2.6-flashnonevsQwen3 Coder NextmediumDeepSeek V4 PrononevsMistral Small 4mediumDeepSeek V4 Prononevsgpt-oss-120bmediumTersedia gratisCobuddymediumvsLing-2.6-flashnoneDeepSeek V4 PrononevsGPT-5 Nanomedium