- Peringkat
- #153
- Total token output
- 29,742
- Waktu respons (rata-rata)
- 7.43s
- Total Biaya
- $0.594
GPT-5.2 Chat vs GLM 5.3 FlashX (medium)
GLM 5.3 FlashX (medium) unggul dalam skor rata-rata dengan 7.1 vs 7.0. GLM 5.3 FlashX (medium) memiliki biaya benchmark lebih rendah di $0.114 vs $0.594. GLM 5.3 FlashX (medium) lebih cepat di 7.37s vs 7.43s, dengan tingkat keberhasilan 66.7% vs 69.6%.
Model yang Dibandingkan
- Peringkat
- #150
- Total token output
- 30,048
- Waktu respons (rata-rata)
- 7.37s
- Total Biaya
- $0.114
Model yang direkomendasikan
GLM 5.3 FlashX (medium)
It has the best score here (7.1), while costing about 5.2x less than GPT-5.2 Chat.
Perbandingan terperinci
| Metrik | GPT-5.2 Chat GPT-5.2 Chat none | GLM 5.3 FlashX GLM 5.3 FlashX medium |
|---|---|---|
| Skor | 7.0 | 7.1 |
| Peringkat | #153 | #150 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 8.7 | 7.1 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 66.7% | 69.6% |
| Tes tidak stabil | 4 | 8 |
| Total Run | 69 | 69 |
| Biaya per hasil | 4.564 | 0.946 |
| Total Biaya | $0.594 | $0.114 |
| Harga input | $1.750 / 1M | $0.370 / 1M |
| Harga output | $14.000 / 1M | $1.250 / 1M |
| Total token input | 101,104 | 205,100 |
| Token output | 29,742 | 8,639 |
| Token penalaran | 0 | 21,409 |
| Waktu respons (rata-rata) | 7.43s | 7.37s |
| Waktu respons (maks) | 38.52s | 74.39s |
| Waktu respons (total) | 163.35s | 169.54s |
| Parameter | ~400B total (~17B aktif) | 320B total (18B aktif) |
| Ketersediaan | Tertutup | Tertutup |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#153 GPT-5.2 Chat
none- Biaya
- $0.010
- Waktu
- 15.3s
- Token
- 797 tok
#150 GLM 5.3 FlashX
medium- Biaya
- $0.002
- Waktu
- 8.1s
- Token
- 1,480 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
| Tugas agen | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.2 Chat | 3.0 | 10.0 | 0.0% | 0 | 955ms | 0 | 0 | 0 | |
| GLM 5.3 FlashX | 10.0 | 10.0 | 100.0% | 0 | 74.39s | 120,771 | 922 | 9,693 |
| Trik anti-AI | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.2 Chat | 8.7 | 7.9 | 91.7% | 1 | 3.40s | 606 | 1,807 | 0 | |
| GLM 5.3 FlashX | 7.3 | 5.8 | 83.3% | 2 | 1.71s | 639 | 343 | 368 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.2 Chat | 8.8 | 7.8 | 88.9% | 1 | 9.82s | 7,305 | 6,731 | 0 | |
| GLM 5.3 FlashX | 6.0 | 4.6 | 66.7% | 2 | 6.37s | 7,317 | 384 | 5,562 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.2 Chat | 7.3 | 5.8 | 83.3% | 1 | 13.91s | 78,055 | 7,923 | 0 | |
| GLM 5.3 FlashX | 2.8 | 1.6 | 33.3% | 2 | 15.97s | 59,549 | 5,920 | 2,786 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.2 Chat | 10.0 | 10.0 | 100.0% | 0 | 3.05s | 7,140 | 980 | 0 | |
| GLM 5.3 FlashX | 10.0 | 10.0 | 100.0% | 0 | 1.74s | 7,149 | 210 | 134 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.2 Chat | 3.0 | 10.0 | 0.0% | 0 | 23.67s | 579 | 7,128 | 0 | |
| GLM 5.3 FlashX | 3.6 | 7.2 | 22.2% | 1 | 3.52s | 759 | 38 | 2,005 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.2 Chat | 4.4 | 3.0 | 33.3% | 1 | 3.20s | 477 | 335 | 0 | |
| GLM 5.3 FlashX | 3.4 | 2.2 | 33.3% | 1 | 1.79s | 498 | 135 | 0 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.2 Chat | 9.8 | 10.0 | 100.0% | 0 | 5.51s | 660 | 1,441 | 0 | |
| GLM 5.3 FlashX | 10.0 | 10.0 | 100.0% | 0 | 1.51s | 678 | 72 | 70 |
| Pemecahan teka-teki | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.2 Chat | 7.7 | 10.0 | 66.7% | 0 | 4.10s | 642 | 1,603 | 0 | |
| GLM 5.3 FlashX | 10.0 | 10.0 | 100.0% | 0 | 1.84s | 672 | 306 | 371 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.2 Chat | 10.0 | 10.0 | 100.0% | 0 | 4.68s | 5,445 | 555 | 0 | |
| GLM 5.3 FlashX | 10.0 | 10.0 | 100.0% | 0 | 10.30s | 6,861 | 231 | 20 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.2 Chat | 3.0 | 10.0 | 0.0% | 0 | 6.89s | 195 | 1,239 | 0 | |
| GLM 5.3 FlashX | 3.0 | 10.0 | 0.0% | 0 | 2.60s | 207 | 78 | 400 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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