- Peringkat
- #254
- Total token output
- 2,169
- Waktu respons (rata-rata)
- 2.98s
- Total Biaya
- $0.008
Trinity Large Preview vs GLM 4.7 Flash
Skor rata-rata hampir imbang di 4.8 vs 4.8. Trinity Large Preview memiliki biaya benchmark lebih rendah di $0.008 vs $0.016. Trinity Large Preview lebih cepat di 2.98s vs 8.81s, dengan tingkat keberhasilan 21.2% vs 30.3%.
- Peringkat
- #253
- Total token output
- 22,992
- Waktu respons (rata-rata)
- 8.81s
- Total Biaya
- $0.016
Model yang direkomendasikan
Trinity Large Preview
It has the best score here (4.8), while costing about 2.0x less than GLM 4.7 Flash.
Perbandingan terperinci
| Metrik | Trinity Large Preview Trinity Large Preview none | GLM 4.7 Flash GLM 4.7 Flash none |
|---|---|---|
| Skor | 4.8 | 4.8 |
| Peringkat | #254 | #253 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 8.9 | 8.9 |
| Percobaan | 63/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 21.2% | 30.3% |
| Tes tidak stabil | 2 | 3 |
| Total Run | 63 | 66 |
| Biaya per hasil | 0.017 | 0.307 |
| Total Biaya | $0.008 | $0.016 |
| Harga input | $0.243 / 1M | $0.060 / 1M |
| Harga output | $0.243 / 1M | $0.400 / 1M |
| Total token input | 29,828 | 101,513 |
| Token output | 2,169 | 22,992 |
| Token penalaran | 0 | 0 |
| Waktu respons (rata-rata) | 2.98s | 8.81s |
| Waktu respons (maks) | 14.34s | 97.15s |
| Waktu respons (total) | 56.57s | 140.88s |
| Parameter | 398B total (13B aktif) | 30B total (3B aktif) |
| Ketersediaan | Sumber terbuka | Sumber terbuka |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#254 Trinity Large Preview
none
No endpoints found for arcee-ai/trinity-large-preview:free.
- Biaya
- $0.000
- Waktu
- 0.0s
- Token
- 0 tok
#253 GLM 4.7 Flash
none
SVG tidak valid
- 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 Preview | 3.1 | 10.0 | 0.0% | 0 | 2.07s | 651 | 550 | 0 | |
| GLM 4.7 Flash | 5.2 | 7.9 | 41.7% | 1 | 5.51s | 555 | 438 | 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 Preview | 3.7 | 7.7 | 11.1% | 1 | 14.34s | 738 | 397 | 0 | |
| GLM 4.7 Flash | 4.3 | 10.0 | 0.0% | 0 | 2.54s | 7,256 | 650 | 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 Preview | 1.5 | 5.0 | 0.0% | 0 | 8.91s | 12,053 | 294 | 0 | |
| GLM 4.7 Flash | 3.0 | 10.0 | 0.0% | 0 | 50.18s | 77,084 | 21,175 | 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 Preview | 10.0 | 10.0 | 100.0% | 0 | 3.26s | 6,900 | 186 | 0 | |
| GLM 4.7 Flash | 7.3 | 5.8 | 83.3% | 1 | 4.82s | 7,107 | 196 | 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 Preview | 5.3 | 10.0 | 33.3% | 0 | 877ms | 738 | 25 | 0 | |
| GLM 4.7 Flash | 5.3 | 10.0 | 33.3% | 0 | 2.22s | 696 | 19 | 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 Preview | 4.5 | 10.0 | 0.0% | 0 | 873ms | 498 | 104 | 0 | |
| GLM 4.7 Flash | 4.0 | 10.0 | 0.0% | 0 | 1.59s | 477 | 134 | 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 Preview | 3.5 | 10.0 | 0.0% | 0 | 822ms | 678 | 63 | 0 | |
| GLM 4.7 Flash | 6.5 | 10.0 | 50.0% | 0 | 888ms | 636 | 62 | 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 Preview | 3.6 | 7.7 | 11.1% | 1 | 1.97s | 669 | 265 | 0 | |
| GLM 4.7 Flash | 6.4 | 10.0 | 33.3% | 0 | 1.20s | 609 | 97 | 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 Preview | 10.0 | 10.0 | 100.0% | 0 | 6.67s | 6,699 | 267 | 0 | |
| GLM 4.7 Flash | 2.8 | 1.6 | 33.3% | 1 | 7.05s | 6,907 | 212 | 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 Preview | 3.0 | 10.0 | 0.0% | 0 | 777ms | 204 | 18 | 0 | |
| GLM 4.7 Flash | 3.0 | 10.0 | 0.0% | 0 | 692ms | 186 | 9 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
Trinity Large ThinkinghighvsGLM 4.7 FlashnoneNemotron 3.5 LightninglowTersedia gratisvsGLM 4.7 FlashnoneTrinity Large PreviewnonevsNemotron 3.5 LightninglowTersedia gratisTrinity Large PreviewnonevsCobuddymediumCobuddymediumvsGLM 4.7 FlashnoneTrinity Large PreviewnonevsQwen3 Coder NextmediumQwen3 Coder NextmediumvsGLM 4.7 FlashnoneTrinity Large PreviewnonevsMiniMax M2.5mediumMiniMax M2.5mediumvsGLM 4.7 FlashnoneLaguna S 2.1lowTersedia gratisvsGLM 4.7 FlashnoneTrinity Large PreviewnonevsLaguna S 2.1lowTersedia gratisMiniMax M2.7mediumvsGLM 4.7 Flashnone