- Peringkat
- #122
- Total token output
- 47,986
- Waktu respons (rata-rata)
- 9.64s
- Total Biaya
- $0.101
GPT-5.6 Luna (medium) vs GLM 5.3 FlashX (high)
Skor rata-rata hampir imbang di 7.4 vs 7.4. GPT-5.6 Luna (medium) memiliki biaya benchmark lebih rendah di $0.101 vs $0.210. GPT-5.6 Luna (medium) lebih cepat di 9.64s vs 14.94s, dengan tingkat keberhasilan 62.3% vs 69.6%.
Model yang Dibandingkan
- Peringkat
- #126
- Total token output
- 97,728
- Waktu respons (rata-rata)
- 14.94s
- Total Biaya
- $0.210
Model yang direkomendasikan
GPT-5.6 Luna (medium)
It has the best score here (7.4), while costing about 2.1x less than GLM 5.3 FlashX (high).
Perbandingan terperinci
| Metrik | GPT-5.6 Luna GPT-5.6 Luna medium | GLM 5.3 FlashX GLM 5.3 FlashX high |
|---|---|---|
| Skor | 7.4 | 7.4 |
| Peringkat | #122 | #126 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 9.0 | 8.2 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 62.3% | 69.6% |
| Tes tidak stabil | 3 | 5 |
| Total Run | 69 | 69 |
| Biaya per hasil | 2.822 | 1.612 |
| Total Biaya | $0.101 | $0.210 |
| Harga input | $0.200 / 1M | $0.370 / 1M |
| Harga output | $1.200 / 1M | $1.250 / 1M |
| Total token input | 212,780 | 235,914 |
| Token output | 6,849 | 8,147 |
| Token penalaran | 41,137 | 89,581 |
| Waktu respons (rata-rata) | 9.64s | 14.94s |
| Waktu respons (maks) | 58.09s | 91.16s |
| Waktu respons (total) | 221.62s | 343.65s |
| 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.
#122 GPT-5.6 Luna
medium- Biaya
- $0.014
- Waktu
- 14.6s
- Token
- 2,362 tok
#126 GLM 5.3 FlashX
high- Biaya
- $0.030
- Waktu
- 169.4s
- Token
- 23,950 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-5.6 Luna | 7.4 | 3.8 | 66.7% | 1 | 58.09s | 123,095 | 1,148 | 2,313 | |
| GLM 5.3 FlashX | 10.0 | 10.0 | 100.0% | 0 | 78.03s | 154,549 | 1,326 | 12,503 |
| 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-5.6 Luna | 8.3 | 10.0 | 75.0% | 0 | 2.52s | 606 | 160 | 987 | |
| GLM 5.3 FlashX | 8.2 | 7.9 | 83.3% | 1 | 1.98s | 639 | 425 | 606 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.6 Luna | 5.4 | 7.2 | 44.4% | 1 | 10.38s | 7,302 | 564 | 9,928 | |
| GLM 5.3 FlashX | 8.2 | 7.2 | 88.9% | 1 | 8.06s | 7,317 | 374 | 9,267 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.6 Luna | 10.0 | 10.0 | 100.0% | 0 | 14.59s | 66,477 | 3,926 | 4,594 | |
| GLM 5.3 FlashX | 3.0 | 10.0 | 0.0% | 0 | 27.73s | 56,585 | 4,123 | 15,563 |
| 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-5.6 Luna | 10.0 | 10.0 | 100.0% | 0 | 1.95s | 7,140 | 234 | 324 | |
| GLM 5.3 FlashX | 7.3 | 5.8 | 83.3% | 1 | 1.82s | 7,149 | 298 | 285 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.6 Luna | 2.9 | 7.2 | 11.1% | 1 | 18.45s | 732 | 70 | 17,375 | |
| GLM 5.3 FlashX | 3.6 | 7.2 | 22.2% | 1 | 50.04s | 759 | 506 | 48,992 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.6 Luna | 5.1 | 10.0 | 0.0% | 0 | 4.34s | 477 | 112 | 496 | |
| GLM 5.3 FlashX | 6.1 | 3.1 | 66.7% | 1 | 2.28s | 498 | 169 | 229 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.6 Luna | 9.9 | 10.0 | 100.0% | 0 | 2.38s | 660 | 95 | 393 | |
| GLM 5.3 FlashX | 10.0 | 10.0 | 100.0% | 0 | 1.72s | 678 | 72 | 177 |
| 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-5.6 Luna | 7.8 | 10.0 | 66.7% | 0 | 4.04s | 642 | 255 | 2,104 | |
| GLM 5.3 FlashX | 10.0 | 10.0 | 100.0% | 0 | 2.06s | 672 | 462 | 434 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.6 Luna | 10.0 | 10.0 | 100.0% | 0 | 6.02s | 5,454 | 256 | 244 | |
| GLM 5.3 FlashX | 10.0 | 10.0 | 100.0% | 0 | 7.09s | 6,861 | 231 | 84 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.6 Luna | 3.0 | 10.0 | 0.0% | 0 | 6.64s | 195 | 29 | 2,379 | |
| GLM 5.3 FlashX | 3.0 | 10.0 | 0.0% | 0 | 5.34s | 207 | 161 | 1,441 |
Perbandingan Cepat
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