- Peringkat
- #288
- Total token output
- 932,619
- Waktu respons (rata-rata)
- 75.86s
- Total Biaya
- $0.592
Trinity Large Thinking (high) vs MiniMax M2.5 (medium)
Trinity Large Thinking (high) unggul dalam skor rata-rata dengan 4.8 vs 4.6. MiniMax M2.5 (medium) memiliki biaya benchmark lebih rendah di $0.363 vs $0.592. MiniMax M2.5 (medium) lebih cepat di 69.08s vs 75.86s, dengan tingkat keberhasilan 39.4% vs 43.9%.
Model yang Dibandingkan
- Peringkat
- #300
- Total token output
- 272,229
- Waktu respons (rata-rata)
- 69.08s
- Total Biaya
- $0.363
Model yang direkomendasikan
MiniMax M2.5 (medium)
Its score stays close to the best score here (4.6 vs 4.8), while costing about 1.6x less than Trinity Large Thinking (high).
Perbandingan terperinci
| Metrik | Trinity Large Thinking Trinity Large Thinking high | MiniMax M2.5 MiniMax M2.5 medium |
|---|---|---|
| Skor | 4.8 | 4.6 |
| Peringkat | #288 | #300 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 7.2 | 6.6 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 39.4% | 43.9% |
| Tes tidak stabil | 8 | 9 |
| Total Run | 66 | 66 |
| Biaya per hasil | 12.473 | 6.463 |
| Total Biaya | $0.592 | $0.363 |
| Harga input | $0.250 / 1M | $0.300 / 1M |
| Harga output | $0.800 / 1M | $1.200 / 1M |
| Total token input | 101,776 | 142,621 |
| Token output | 276,367 | 20,409 |
| Token penalaran | 656,252 | 251,820 |
| Waktu respons (rata-rata) | 75.86s | 69.08s |
| Waktu respons (maks) | 510.21s | 251.36s |
| Waktu respons (total) | 1668.93s | 1036.24s |
| Parameter | 398B total (13B aktif) | 230B total (10B 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.
#288 Trinity Large Thinking
high- Biaya
- $0.028
- Waktu
- 130.1s
- Token
- 34,387 tok
#300 MiniMax M2.5
medium
Reached the allocated time limit (300 seconds) without receiving showcase output.
- 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 |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Thinking | 6.7 | 8.1 | 58.3% | 1 | 4.13s | 663 | 3,108 | 7,565 | |
| MiniMax M2.5 | 7.9 | 6.3 | 83.3% | 2 | 20.82s | 612 | 286 | 45,344 |
| 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 | |
| MiniMax M2.5 | 3.4 | 9.1 | 0.0% | 0 | 188.58s | 6,076 | 357 | 106,177 |
| 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 | |
| MiniMax M2.5 | 3.7 | 1.8 | 50.0% | 2 | 83.19s | 119,959 | 16,687 | 18,834 |
| 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 | |
| MiniMax M2.5 | 4.6 | 1.7 | 66.7% | 2 | 7.48s | 6,584 | 266 | 3,835 |
| 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 | |
| MiniMax M2.5 | 2.9 | 7.2 | 11.1% | 1 | 158.88s | 368 | 14 | 45,372 |
| 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 | |
| MiniMax M2.5 | 3.8 | 2.5 | 33.3% | 1 | 6.63s | 492 | 25 | 1,686 |
| 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 | |
| MiniMax M2.5 | 7.5 | 10.0 | 50.0% | 0 | 621ms | 699 | 156 | 1,495 |
| 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 | |
| MiniMax M2.5 | 5.3 | 7.2 | 44.4% | 1 | 11.21s | 495 | 1,069 | 9,605 |
| 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 | |
| MiniMax M2.5 | 10.0 | 10.0 | 100.0% | 0 | 15.35s | 7,123 | 269 | 937 |
| 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 | |
| MiniMax M2.5 | 3.0 | 10.0 | 0.0% | 0 | 80.79s | 213 | 1,280 | 18,535 |
Perbandingan Cepat
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