- Peringkat
- #104
- Total token output
- 67,522
- Waktu respons (rata-rata)
- 16.72s
- Total Biaya
- $3.490
Claude Opus 4.8 (medium) vs GLM 5.2 (medium)
Skor rata-rata hampir imbang di 8.3 vs 8.2. GLM 5.2 (medium) memiliki biaya benchmark lebih rendah di $1.007 vs $3.490. Claude Opus 4.8 (medium) lebih cepat di 16.72s vs 26.88s, dengan tingkat keberhasilan 82.6% vs 81.2%.
Model yang Dibandingkan
- Peringkat
- #110
- Total token output
- 81,020
- Waktu respons (rata-rata)
- 26.88s
- Total Biaya
- $1.007
Model yang direkomendasikan
GLM 5.2 (medium)
It has the best score here (8.2), while costing about 3.5x less than Claude Opus 4.8 (medium).
Perbandingan terperinci
| Metrik | Claude Opus 4.8 Claude Opus 4.8 medium | GLM 5.2 GLM 5.2 medium |
|---|---|---|
| Skor | 8.3 | 8.2 |
| Peringkat | #104 | #110 |
| Keandalan | 10.0 | 9.6 |
| Konsistensi | 9.0 | 8.1 |
| Percobaan | 69/69 | 66/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 82.6% | 81.2% |
| Tes tidak stabil | 3 | 4 |
| Total Run | 69 | 66 |
| Biaya per hasil | 20.527 | 2.890 |
| Total Biaya | $3.490 | $1.007 |
| Harga input | $5.000 / 1M | $0.153 / 1M |
| Harga output | $25.000 / 1M | $12.000 / 1M |
| Harga baca cache | $0.500 / 1M | $0.150 / 1M |
| Harga tulis cache | $6.250 / 1M | T/A |
| Total token input | 360,294 | 227,164 |
| Token output | 43,441 | 20,029 |
| Token penalaran | 24,401 | 60,991 |
| Waktu respons (rata-rata) | 16.72s | 26.88s |
| Waktu respons (maks) | 99.37s | 102.40s |
| Waktu respons (total) | 384.66s | 591.34s |
| Parameter | ~5T total (~500B aktif) | 744B total (40B aktif) |
| Ketersediaan | Tertutup | Sumber terbuka |
Harga cache berlaku untuk token input. Pembacaan memakai kembali prompt tersimpan; penulisan menyimpannya dan dapat menambah biaya. Token output menggunakan harga output.
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#104 Claude Opus 4.8
medium- Biaya
- $0.057
- Waktu
- 23.1s
- Token
- 2,412 tok
#110 GLM 5.2
medium- Biaya
- $0.041
- Waktu
- 195.8s
- Token
- 9,287 tok
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 |
|---|---|---|---|---|---|---|---|---|---|
| Claude Opus 4.8 | 6.1 | 3.1 | 66.7% | 1 | 99.37s | 221,846 | 2,676 | 13,239 | |
| GLM 5.2 | 10.0 | 10.0 | 100.0% | 0 | 102.40s | 189,965 | 7,768 | 11,491 |
| Trik anti-AI | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Opus 4.8 | 10.0 | 10.0 | 100.0% | 0 | 3.95s | 834 | 1,179 | 478 | |
| GLM 5.2 | 10.0 | 10.0 | 100.0% | 0 | 5.89s | 639 | 497 | 2,634 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Opus 4.8 | 10.0 | 10.0 | 100.0% | 0 | 15.33s | 10,590 | 9,945 | 1,381 | |
| GLM 5.2 | 8.2 | 7.2 | 88.9% | 1 | 40.96s | 7,317 | 1,475 | 17,123 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Opus 4.8 | 9.9 | 10.0 | 100.0% | 0 | 54.29s | 101,005 | 19,531 | 4,762 | |
| GLM 5.2 | 5.0 | 5.0 | 50.0% | 0 | 51.96s | 12,696 | 458 | 4,531 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Claude Opus 4.8 | 7.1 | 5.6 | 83.3% | 1 | 12.29s | 10,503 | 481 | 312 | |
| GLM 5.2 | 10.0 | 10.0 | 100.0% | 0 | 13.44s | 7,149 | 348 | 2,345 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Opus 4.8 | 3.6 | 7.2 | 22.2% | 1 | 18.11s | 972 | 7,476 | 2,987 | |
| GLM 5.2 | 4.1 | 4.4 | 44.5% | 2 | 45.47s | 551 | 8,188 | 11,606 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Opus 4.8 | 10.0 | 10.0 | 100.0% | 0 | 2.46s | 708 | 237 | 0 | |
| GLM 5.2 | 10.0 | 10.0 | 100.0% | 0 | 17.39s | 498 | 54 | 1,842 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Opus 4.8 | 10.0 | 10.0 | 100.0% | 0 | 3.32s | 909 | 373 | 320 | |
| GLM 5.2 | 9.9 | 10.0 | 100.0% | 0 | 7.90s | 678 | 94 | 1,518 |
| Pemecahan teka-teki | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Opus 4.8 | 10.0 | 10.0 | 100.0% | 0 | 3.95s | 894 | 791 | 483 | |
| GLM 5.2 | 8.2 | 7.2 | 88.9% | 1 | 13.13s | 672 | 536 | 4,822 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Opus 4.8 | 10.0 | 10.0 | 100.0% | 0 | 8.96s | 11,775 | 301 | 225 | |
| GLM 5.2 | 10.0 | 10.0 | 100.0% | 0 | 20.41s | 6,861 | 230 | 550 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Opus 4.8 | 3.0 | 10.0 | 0.0% | 0 | 6.14s | 258 | 451 | 214 | |
| GLM 5.2 | 3.0 | 10.0 | 0.0% | 0 | 34.25s | 138 | 381 | 2,529 |
Perbandingan Cepat
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