- Peringkat
- #266
- Total token output
- 932,619
- Waktu respons (rata-rata)
- 75.86s
- Total Biaya
- $0.592
Trinity Large Thinking (high) vs Granite 4.2 8B
Trinity Large Thinking (high) unggul dalam skor rata-rata dengan 4.8 vs 4.3. Granite 4.2 8B memiliki biaya benchmark lebih rendah di $0.026 vs $0.592. Trinity Large Thinking (high) lebih cepat di 75.86s vs 86.27s, dengan tingkat keberhasilan 39.4% vs 16.7%.
- Peringkat
- #285
- Total token output
- 130,805
- Waktu respons (rata-rata)
- 86.27s
- Total Biaya
- $0.026
Model yang direkomendasikan
Granite 4.2 8B
Its score stays close to the best score here (4.3 vs 4.8), while costing about 23.3x less than Trinity Large Thinking (high).
Perbandingan terperinci
| Metrik | Trinity Large Thinking Trinity Large Thinking high | Granite 4.2 8B Granite 4.2 8B none |
|---|---|---|
| Skor | 4.8 | 4.3 |
| Peringkat | #266 | #285 |
| Keandalan | 10.0 | 8.6 |
| Konsistensi | 7.2 | 9.3 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 39.4% | 16.7% |
| Tes tidak stabil | 8 | 2 |
| Total Run | 66 | 66 |
| Biaya per hasil | 12.473 | 0.847 |
| Total Biaya | $0.592 | $0.026 |
| Harga input | $0.250 / 1M | $0.100 / 1M |
| Harga output | $0.800 / 1M | $0.150 / 1M |
| Total token input | 101,776 | 57,786 |
| Token output | 276,367 | 130,805 |
| Token penalaran | 656,252 | 0 |
| Waktu respons (rata-rata) | 75.86s | 86.27s |
| Waktu respons (maks) | 510.21s | 747.17s |
| Waktu respons (total) | 1668.93s | 1897.96s |
| Parameter | 398B total (13B aktif) | 8B |
| Ketersediaan | Bobot tersedia | Sumber terbuka |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#266 Trinity Large Thinking
high- Biaya
- $0.028
- Waktu
- 130.1s
- Token
- 34,387 tok
#285 IBM: Granite 4.2 8B
none
Provider returned error
- Biaya
- $0.000
- Waktu
- 0.2s
- 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 | |
| Granite 4.2 8B | 4.9 | 8.1 | 33.3% | 1 | 17.77s | 669 | 6,026 | 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 | |
| Granite 4.2 8B | 5.5 | 10.0 | 33.3% | 0 | 105.60s | 8,358 | 47,944 | 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 | |
| Granite 4.2 8B | 3.0 | 10.0 | 0.0% | 0 | 424.28s | 30,500 | 29,755 | 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 | |
| Granite 4.2 8B | 2.9 | 5.8 | 16.7% | 1 | 1.05s | 7,629 | 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 | |
| Granite 4.2 8B | 3.0 | 10.0 | 0.0% | 0 | 53.62s | 696 | 38,145 | 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 | |
| Granite 4.2 8B | 5.0 | 10.0 | 0.0% | 0 | 770ms | 534 | 153 | 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 | |
| Granite 4.2 8B | 3.0 | 10.0 | 0.0% | 0 | 79.50s | 375 | 1,275 | 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 | |
| Granite 4.2 8B | 3.0 | 10.0 | 0.0% | 0 | 107.60s | 472 | 6,964 | 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 | |
| Granite 4.2 8B | 10.0 | 10.0 | 100.0% | 0 | 1.39s | 8,331 | 291 | 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 | |
| Granite 4.2 8B | 3.0 | 10.0 | 0.0% | 0 | 14.60s | 222 | 15 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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