- Peringkat
- #95
- Total token output
- 24,213
- Waktu respons (rata-rata)
- 7.58s
- Total Biaya
- $0.645
GPT-5.6 Terra (low) vs GLM 5.3 FlashX (max)
Skor rata-rata hampir imbang di 7.9 vs 7.9. GLM 5.3 FlashX (max) memiliki biaya benchmark lebih rendah di $0.623 vs $0.645. GPT-5.6 Terra (low) lebih cepat di 7.58s vs 43.97s, dengan tingkat keberhasilan 75.4% vs 78.3%.
Model yang Dibandingkan
- Peringkat
- #97
- Total token output
- 402,765
- Waktu respons (rata-rata)
- 43.97s
- Total Biaya
- $0.623
Model yang direkomendasikan
GPT-5.6 Terra (low)
It has the best score here (7.9), while responding about 5.8x faster than GLM 5.3 FlashX (max).
Perbandingan terperinci
| Metrik | GPT-5.6 Terra GPT-5.6 Terra low | GLM 5.3 FlashX GLM 5.3 FlashX max |
|---|---|---|
| Skor | 7.9 | 7.9 |
| Peringkat | #95 | #97 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 8.0 | 8.0 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 75.4% | 78.3% |
| Tes tidak stabil | 6 | 6 |
| Total Run | 69 | 69 |
| Biaya per hasil | 5.277 | 4.153 |
| Total Biaya | $0.645 | $0.623 |
| Harga input | $2.000 / 1M | $0.370 / 1M |
| Harga output | $12.000 / 1M | $1.250 / 1M |
| Total token input | 176,890 | 322,894 |
| Token output | 5,688 | 8,010 |
| Token penalaran | 18,525 | 394,755 |
| Waktu respons (rata-rata) | 7.58s | 43.97s |
| Waktu respons (maks) | 54.57s | 390.70s |
| Waktu respons (total) | 174.39s | 1011.29s |
| Parameter | ~1T total (~60B 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.
#95 GPT-5.6 Terra
low- Biaya
- $0.034
- Waktu
- 16.8s
- Token
- 2,348 tok
#97 GLM 5.3 FlashX
max- Biaya
- $0.046
- Waktu
- 251.3s
- Token
- 36,769 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 Terra | 10.0 | 10.0 | 100.0% | 0 | 54.57s | 96,586 | 974 | 1,653 | |
| GLM 5.3 FlashX | 6.1 | 3.1 | 66.7% | 1 | 104.77s | 221,683 | 1,709 | 25,322 |
| 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 Terra | 8.3 | 10.0 | 75.0% | 0 | 2.36s | 606 | 171 | 602 | |
| GLM 5.3 FlashX | 10.0 | 10.0 | 100.0% | 0 | 2.65s | 639 | 301 | 2,210 |
| 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 Terra | 6.6 | 4.6 | 77.8% | 2 | 9.56s | 7,302 | 429 | 6,821 | |
| GLM 5.3 FlashX | 8.2 | 7.2 | 88.9% | 1 | 24.61s | 7,317 | 463 | 36,503 |
| 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 Terra | 8.7 | 6.9 | 83.3% | 1 | 9.68s | 57,088 | 3,083 | 1,617 | |
| GLM 5.3 FlashX | 8.2 | 6.9 | 66.7% | 1 | 45.23s | 76,431 | 3,485 | 35,762 |
| 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 Terra | 10.0 | 10.0 | 100.0% | 0 | 919ms | 7,140 | 222 | 0 | |
| GLM 5.3 FlashX | 10.0 | 10.0 | 100.0% | 0 | 3.38s | 7,149 | 223 | 2,262 |
| 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 Terra | 5.3 | 7.2 | 44.4% | 1 | 9.34s | 732 | 72 | 4,489 | |
| GLM 5.3 FlashX | 3.5 | 4.4 | 33.3% | 2 | 224.00s | 759 | 583 | 279,058 |
| 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 Terra | 4.8 | 3.2 | 33.3% | 1 | 3.52s | 477 | 105 | 249 | |
| GLM 5.3 FlashX | 10.0 | 10.0 | 100.0% | 0 | 5.01s | 498 | 209 | 1,290 |
| 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 Terra | 10.0 | 10.0 | 100.0% | 0 | 1.48s | 660 | 87 | 134 | |
| GLM 5.3 FlashX | 9.9 | 10.0 | 100.0% | 0 | 2.23s | 678 | 72 | 1,032 |
| 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 Terra | 10.0 | 10.0 | 100.0% | 0 | 4.46s | 642 | 259 | 1,506 | |
| GLM 5.3 FlashX | 8.2 | 7.7 | 77.8% | 1 | 3.88s | 672 | 456 | 2,848 |
| 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 Terra | 4.7 | 1.6 | 66.7% | 1 | 6.69s | 5,462 | 257 | 226 | |
| GLM 5.3 FlashX | 10.0 | 10.0 | 100.0% | 0 | 9.39s | 6,861 | 231 | 712 |
| 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 Terra | 3.0 | 10.0 | 0.0% | 0 | 5.95s | 195 | 29 | 1,228 | |
| GLM 5.3 FlashX | 3.0 | 10.0 | 0.0% | 0 | 22.41s | 207 | 278 | 7,756 |
Perbandingan Cepat
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