- Peringkat
- #302
- Total token output
- 932,619
- Waktu respons (rata-rata)
- 75.86s
- Total Biaya
- $0.592
Trinity Large Thinking (high) vs Laguna S 2.1
Trinity Large Thinking (high) unggul dalam skor rata-rata dengan 4.8 vs 4.5. Laguna S 2.1 memiliki biaya benchmark lebih rendah di $0.022 vs $0.592. Laguna S 2.1 lebih cepat di 11.67s vs 75.86s, dengan tingkat keberhasilan 39.4% vs 15.2%.
Model yang Dibandingkan
- Peringkat
- #315
- Total token output
- 57,634
- Waktu respons (rata-rata)
- 11.67s
- Total Biaya
- $0.022
Model yang direkomendasikan
Laguna S 2.1
Its score stays close to the best score here (4.5 vs 4.8), while costing about 27.3x less than Trinity Large Thinking (high).
Perbandingan terperinci
| Metrik | Trinity Large Thinking Trinity Large Thinking high | Laguna S 2.1 Laguna S 2.1 none Tersedia gratis |
|---|---|---|
| Skor | 4.8 | 4.5 |
| Peringkat | #302 | #315 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 7.2 | 8.8 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 39.4% | 15.2% |
| Tes tidak stabil | 8 | 3 |
| Total Run | 66 | 66 |
| Biaya per hasil | 12.473 | 1.205 |
| Total Biaya | $0.592 | $0.022 |
| Harga input | $0.250 / 1M | $0.090 / 1M |
| Harga output | $0.800 / 1M | $0.180 / 1M |
| Total token input | 101,776 | 125,604 |
| Token output | 276,367 | 57,634 |
| Token penalaran | 656,252 | 0 |
| Waktu respons (rata-rata) | 75.86s | 11.67s |
| Waktu respons (maks) | 510.21s | 200.52s |
| Waktu respons (total) | 1668.93s | 256.71s |
| Parameter | 398B total (13B aktif) | 118B total (8B aktif) |
| Ketersediaan | Bobot tersedia | Bobot tersedia |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#302 Trinity Large Thinking
high- Biaya
- $0.028
- Waktu
- 130.1s
- Token
- 34,387 tok
#315 Laguna S 2.1
none- Biaya
- $0.001
- Waktu
- 7.6s
- Token
- 1,345 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 |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 6.7 | 8.1 | 58.3% | 1 | 4.13s | 663 | 3,108 | 7,565 | |
| Laguna S 2.1 | 3.1 | 7.9 | 8.3% | 1 | 835ms | 672 | 877 | 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 | |
| Laguna S 2.1 | 3.4 | 9.7 | 0.0% | 0 | 550ms | 7,917 | 424 | 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 | |
| Laguna S 2.1 | 2.9 | 5.8 | 16.7% | 1 | 21.62s | 99,668 | 10,893 | 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 | |
| Laguna S 2.1 | 10.0 | 10.0 | 100.0% | 0 | 537ms | 7,689 | 237 | 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 | |
| Laguna S 2.1 | 3.0 | 10.0 | 0.0% | 0 | 337ms | 771 | 18 | 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 | |
| Laguna S 2.1 | 5.0 | 10.0 | 0.0% | 0 | 815ms | 513 | 166 | 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 | |
| Laguna S 2.1 | 4.3 | 9.9 | 0.0% | 0 | 566ms | 702 | 54 | 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 | |
| Laguna S 2.1 | 3.1 | 10.0 | 0.0% | 0 | 828ms | 699 | 307 | 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 | |
| Laguna S 2.1 | 4.7 | 1.6 | 66.7% | 1 | 1.45s | 6,745 | 259 | 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 | |
| Laguna S 2.1 | 3.0 | 10.0 | 0.0% | 0 | 200.52s | 228 | 44,399 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
Trinity Large ThinkinghighvsGPT-5.4 NanononeTrinity Large ThinkinghighvsNemotron 3.5 LightninglowTersedia gratisTrinity Large ThinkinghighvsRing-2.6-1TnoneTrinity Large ThinkinghighvsKAT-Coder-Air V2.5noneTrinity Large ThinkinghighvsHy4 previewnoneTrinity Large ThinkinghighvsGLM 4.7 FlashnoneMiniMax M2.5mediumvsLaguna S 2.1noneTersedia gratisTrinity Large ThinkinghighvsNemotron 3 SupernoneTersedia gratisLaguna S 2.1noneTersedia gratisvsQwen3 Coder NextmediumTrinity Large ThinkinghighvsLing-2.6-flashnoneGranite 4.2 8BhighvsLaguna S 2.1noneTersedia gratisTrinity Large ThinkinghighvsCobuddymedium