- Peringkat
- #270
- Total token output
- 2,169
- Waktu respons (rata-rata)
- 2.98s
- Total Biaya
- $0.008
Trinity Large Preview vs Granite 4.2 8B (high)
Trinity Large Preview unggul dalam skor rata-rata dengan 4.8 vs 4.6. Trinity Large Preview memiliki biaya benchmark lebih rendah di $0.008 vs $0.084. Trinity Large Preview lebih cepat di 2.98s vs 235.89s, dengan tingkat keberhasilan 21.2% vs 39.4%.
- Peringkat
- #276
- Total token output
- 612,215
- Waktu respons (rata-rata)
- 235.89s
- Total Biaya
- $0.084
Model yang direkomendasikan
Trinity Large Preview
It has the best score here (4.8), while costing about 10.8x less than Granite 4.2 8B (high).
Perbandingan terperinci
| Metrik | Trinity Large Preview Trinity Large Preview none | Granite 4.2 8B Granite 4.2 8B high |
|---|---|---|
| Skor | 4.8 | 4.6 |
| Peringkat | #270 | #276 |
| Keandalan | 10.0 | 7.6 |
| Konsistensi | 8.9 | 6.3 |
| Percobaan | 63/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 21.2% | 39.4% |
| Tes tidak stabil | 2 | 10 |
| Total Run | 63 | 66 |
| Biaya per hasil | 0.017 | 2.085 |
| Total Biaya | $0.008 | $0.084 |
| Harga input | $0.243 / 1M | $0.100 / 1M |
| Harga output | $0.243 / 1M | $0.150 / 1M |
| Total token input | 29,828 | 43,278 |
| Token output | 2,169 | 181,083 |
| Token penalaran | 0 | 431,132 |
| Waktu respons (rata-rata) | 2.98s | 235.89s |
| Waktu respons (maks) | 14.34s | 685.87s |
| Waktu respons (total) | 56.57s | 5189.64s |
| Parameter | 398B total (13B aktif) | 8B |
| Ketersediaan | Sumber terbuka | Sumber terbuka |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#270 Trinity Large Preview
none
No endpoints found for arcee-ai/trinity-large-preview:free.
- Biaya
- $0.000
- Waktu
- 0.0s
- Token
- 0 tok
#276 IBM: Granite 4.2 8B
high
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 Preview | 3.1 | 10.0 | 0.0% | 0 | 2.07s | 651 | 550 | 0 | |
| Granite 4.2 8B | 6.9 | 5.8 | 75.0% | 2 | 205.31s | 507 | 8,350 | 12,250 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Preview | 3.7 | 7.7 | 11.1% | 1 | 14.34s | 738 | 397 | 0 | |
| Granite 4.2 8B | 3.8 | 4.3 | 33.3% | 2 | 515.34s | 7,047 | 42,438 | 154,749 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Trinity Large Preview | 1.5 | 5.0 | 0.0% | 0 | 8.91s | 12,053 | 294 | 0 | |
| Granite 4.2 8B | 5.0 | 6.8 | 33.3% | 1 | 570.43s | 18,410 | 16,478 | 60,329 |
| 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 Preview | 10.0 | 10.0 | 100.0% | 0 | 3.26s | 6,900 | 186 | 0 | |
| Granite 4.2 8B | 3.8 | 5.8 | 33.3% | 1 | 56.55s | 6,779 | 1,368 | 3,999 |
| 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 Preview | 5.3 | 10.0 | 33.3% | 0 | 877ms | 738 | 25 | 0 | |
| Granite 4.2 8B | 2.9 | 7.2 | 11.1% | 1 | 167.15s | 498 | 81,004 | 122,013 |
| 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 Preview | 4.5 | 10.0 | 0.0% | 0 | 873ms | 498 | 104 | 0 | |
| Granite 4.2 8B | 5.5 | 10.0 | 0.0% | 0 | 16.37s | 534 | 5,762 | 5,800 |
| 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 Preview | 3.5 | 10.0 | 0.0% | 0 | 822ms | 678 | 63 | 0 | |
| Granite 4.2 8B | 6.4 | 5.8 | 66.7% | 1 | 87.47s | 483 | 2,191 | 13,223 |
| 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 Preview | 3.6 | 7.7 | 11.1% | 1 | 1.97s | 669 | 265 | 0 | |
| Granite 4.2 8B | 2.9 | 4.4 | 22.2% | 2 | 202.69s | 467 | 14,348 | 19,827 |
| 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 Preview | 10.0 | 10.0 | 100.0% | 0 | 6.67s | 6,699 | 267 | 0 | |
| Granite 4.2 8B | 10.0 | 10.0 | 100.0% | 0 | 15.08s | 8,331 | 893 | 4,841 |
| 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 Preview | 3.0 | 10.0 | 0.0% | 0 | 777ms | 204 | 18 | 0 | |
| Granite 4.2 8B | 3.0 | 10.0 | 0.0% | 0 | 252.49s | 222 | 8,251 | 34,101 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
Granite 4.2 8BhighvsQwen3 Coder NextmediumGranite 4.2 8BhighvsMiniMax M2.5mediumGranite 4.2 8BhighvsMercury 2noneTrinity Large PreviewnonevsNemotron 3.5 LightninglowTersedia gratisCobuddymediumvsGranite 4.2 8BhighGranite 4.2 8BhighvsLaguna S 2.1noneTersedia gratisTrinity Large PreviewnonevsCobuddymediumGranite 4.2 8BhighvsGLM 4.7 FlashnoneGranite 4.2 8BhighvsKAT-Coder-Air V2.5noneTrinity Large PreviewnonevsQwen3 Coder NextmediumTrinity Large PreviewnonevsMiniMax M2.5mediumGranite 4.2 8BhighvsGPT-5.4 Nanonone