- Peringkat
- #301
- Total token output
- 717,762
- Waktu respons (rata-rata)
- 74.52s
- Total Biaya
- $0.794
Trinity Large Thinking (high) vs DeepSeek V4.1 Flash 1017
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 $0.794. DeepSeek V4.1 Flash 1017 lebih cepat di 3.46s vs 74.52s, dengan tingkat keberhasilan 42.0% vs 36.2%.
Model yang Dibandingkan
- Peringkat
- #296
- Total token output
- 16,806
- Waktu respons (rata-rata)
- 3.46s
- Total Biaya
- $0.055
Model yang direkomendasikan
DeepSeek V4.1 Flash 1017
It has the best score here (5.8), while costing about 14.7x less than Trinity Large Thinking (high).
Perbandingan terperinci
| Metrik | Trinity Large Thinking Trinity Large Thinking high | DeepSeek V4.1 Flash 1017 DeepSeek V4.1 Flash 1017 none |
|---|---|---|
| Skor | 5.7 | 5.8 |
| Peringkat | #301 | #296 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 7.3 | 9.7 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 42.0% | 36.2% |
| Tes tidak stabil | 8 | 1 |
| Total Run | 69 | 69 |
| Biaya per hasil | 11.289 | 0.678 |
| Total Biaya | $0.794 | $0.055 |
| Harga input | $0.250 / 1M | $0.150 / 1M |
| Harga output | $0.800 / 1M | $0.600 / 1M |
| Harga baca cache | $0.060 / 1M | $0.003 / 1M |
| Harga tulis cache | T/A | T/A |
| Total token input | 283,116 | 293,927 |
| Token output | 277,920 | 16,806 |
| Token penalaran | 665,124 | 0 |
| Waktu respons (rata-rata) | 74.52s | 3.46s |
| Waktu respons (maks) | 510.21s | 43.95s |
| Waktu respons (total) | 1713.90s | 79.48s |
| Parameter | 398B total (13B aktif) | ~748B total (~16B aktif) |
| Ketersediaan | Bobot tersedia | Sumber terbuka |
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.
#301 Trinity Large Thinking
high- Biaya
- $0.028
- Waktu
- 130.1s
- Token
- 34,387 tok
#296 DeepSeek V4.1 Flash 1017
none- Biaya
- $0.001
- Waktu
- 7.1s
- Token
- 2,012 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 |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 10.0 | 10.0 | 100.0% | 0 | 44.97s | 181,340 | 1,553 | 8,872 | |
| DeepSeek V4.1 Flash 1017 | 5.0 | 10.0 | 0.0% | 0 | 43.95s | 168,815 | 3,381 | 0 |
| Trik anti-AI | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 6.7 | 8.1 | 58.3% | 1 | 4.13s | 663 | 3,108 | 7,565 | |
| DeepSeek V4.1 Flash 1017 | 3.6 | 10.0 | 0.0% | 0 | 1.14s | 552 | 990 | 0 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 3.7 | 4.7 | 33.3% | 2 | 245.04s | 7,204 | 83,616 | 266,836 | |
| DeepSeek V4.1 Flash 1017 | 5.6 | 9.9 | 33.3% | 0 | 2.38s | 7,284 | 3,922 | 0 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 3.0 | 10.0 | 0.0% | 0 | 262.39s | 76,626 | 14,706 | 149,243 | |
| DeepSeek V4.1 Flash 1017 | 3.0 | 10.0 | 0.0% | 0 | 7.51s | 99,393 | 7,551 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 6.3 | 5.8 | 66.7% | 1 | 13.98s | 6,906 | 580 | 9,338 | |
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 544ms | 7,296 | 201 | 0 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 2.9 | 7.2 | 11.1% | 1 | 66.94s | 756 | 163,364 | 166,091 | |
| DeepSeek V4.1 Flash 1017 | 7.7 | 10.0 | 66.7% | 0 | 463ms | 684 | 30 | 0 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 6.5 | 3.4 | 66.7% | 1 | 12.90s | 501 | 5,700 | 5,942 | |
| DeepSeek V4.1 Flash 1017 | 5.1 | 3.4 | 33.3% | 1 | 616ms | 474 | 113 | 0 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 6.3 | 10.0 | 50.0% | 0 | 4.12s | 684 | 88 | 2,853 | |
| DeepSeek V4.1 Flash 1017 | 6.5 | 10.0 | 50.0% | 0 | 608ms | 633 | 60 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 4.7 | 5.2 | 33.3% | 2 | 3.84s | 678 | 2,566 | 3,368 | |
| DeepSeek V4.1 Flash 1017 | 5.4 | 10.0 | 33.3% | 0 | 750ms | 603 | 315 | 0 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 10.0 | 10.0 | 100.0% | 0 | 5.96s | 7,551 | 282 | 1,440 | |
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 1.60s | 8,007 | 228 | 0 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 3.0 | 10.0 | 0.0% | 0 | 125.13s | 207 | 2,357 | 43,576 | |
| DeepSeek V4.1 Flash 1017 | 3.0 | 10.0 | 0.0% | 0 | 655ms | 186 | 15 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
Trinity Large ThinkinghighvsRing 2.6 1tmediumTrinity Large ThinkinghighvsGPT-5 NanomediumTrinity Large ThinkinghighvsGPT-5.4 MininoneTrinity Large ThinkinghighvsMistral Large 4noneTrinity Large ThinkinghighvsSeed 2.1 TurbononeTrinity Large ThinkinghighvsDots 3 Note PreviewmediumTersedia gratisTrinity Large ThinkinghighvsDeepSeek V4.1 FlashnoneDeepSeek V4.1 Flash 1017nonevsLing 3.0 FlashhighTrinity Large ThinkinghighvsGPT-5.6 TerranoneTrinity Large ThinkinghighvsGemma 4 31BnoneTersedia gratisTrinity Large ThinkinghighvsSpace Bunny AlphalowDeepSeek V4.1 Flash 1017nonevsgpt-oss-120bmedium