- Peringkat
- #145
- Total token output
- 69,489
- Waktu respons (rata-rata)
- 17.13s
- Total Biaya
- $3.787
Claude Opus 4.8 (low) vs GLM 5 (medium)
Skor rata-rata hampir imbang di 7.2 vs 7.2. GLM 5 (medium) memiliki biaya benchmark lebih rendah di $0.479 vs $3.787. Claude Opus 4.8 (low) lebih cepat di 17.13s vs 39.05s, dengan tingkat keberhasilan 78.3% vs 76.8%.
Model yang Dibandingkan
- Peringkat
- #148
- Total token output
- 138,257
- Waktu respons (rata-rata)
- 39.05s
- Total Biaya
- $0.479
Model yang direkomendasikan
GLM 5 (medium)
It has the best score here (7.2), while costing about 7.9x less than Claude Opus 4.8 (low).
Perbandingan terperinci
| Metrik | Claude Opus 4.8 Claude Opus 4.8 low | GLM 5 GLM 5 medium |
|---|---|---|
| Skor | 7.2 | 7.2 |
| Peringkat | #145 | #148 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 8.6 | 7.9 |
| Percobaan | 69/69 | 66/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 78.3% | 76.8% |
| Tes tidak stabil | 4 | 5 |
| Total Run | 69 | 66 |
| Biaya per hasil | 23.669 | 2.552 |
| Total Biaya | $3.787 | $0.479 |
| Harga input | $5.000 / 1M | $0.600 / 1M |
| Harga output | $25.000 / 1M | $1.920 / 1M |
| Harga baca cache | $0.500 / 1M | $0.120 / 1M |
| Harga tulis cache | $6.250 / 1M | T/A |
| Total token input | 409,947 | 212,440 |
| Token output | 46,060 | 22,922 |
| Token penalaran | 23,429 | 115,335 |
| Waktu respons (rata-rata) | 17.13s | 39.05s |
| Waktu respons (maks) | 127.97s | 110.70s |
| Waktu respons (total) | 394.01s | 546.68s |
| 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.
#145 Claude Opus 4.8
low- Biaya
- $0.031
- Waktu
- 14.1s
- Token
- 1,345 tok
#148 GLM 5
medium- Biaya
- $0.005
- Waktu
- 20.7s
- Token
- 2,068 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 |
|---|---|---|---|---|---|---|---|---|---|
| Claude Opus 4.8 | 4.7 | 3.1 | 33.3% | 1 | 110.68s | 253,425 | 3,004 | 14,248 | |
| GLM 5 | 4.7 | 3.1 | 33.3% | 1 | 110.70s | 177,216 | 1,352 | 12,339 |
| 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 | 3.30s | 834 | 793 | 371 | |
| GLM 5 | 10.0 | 10.0 | 100.0% | 0 | 23.66s | 555 | 480 | 7,056 |
| 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 | 6.6 | 4.6 | 77.8% | 2 | 7.58s | 10,590 | 3,637 | 809 | |
| GLM 5 | 10.0 | 10.0 | 100.0% | 0 | 74.30s | 7,254 | 2,997 | 52,930 |
| 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 | 36.87s | 119,079 | 13,586 | 2,867 | |
| GLM 5 | 5.0 | 5.0 | 50.0% | 0 | 28.96s | 12,804 | 662 | 3,242 |
| 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 | 6.3 | 5.8 | 66.7% | 1 | 2.27s | 10,503 | 310 | 0 | |
| GLM 5 | 7.1 | 5.6 | 83.3% | 1 | 8.90s | 5,508 | 567 | 3,734 |
| 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 | 5.3 | 10.0 | 33.3% | 0 | 46.54s | 972 | 23,226 | 4,472 | |
| GLM 5 | 3.5 | 4.4 | 33.3% | 2 | 0ms | 260 | 13,176 | 14,137 |
| 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 | 2.55s | 708 | 231 | 0 | |
| GLM 5 | 6.1 | 3.1 | 66.7% | 1 | 14.69s | 477 | 2,020 | 2,248 |
| 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 | 9.8 | 10.0 | 100.0% | 0 | 2.78s | 909 | 111 | 221 | |
| GLM 5 | 10.0 | 10.0 | 100.0% | 0 | 7.25s | 636 | 1,001 | 2,129 |
| 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 | 3.01s | 894 | 592 | 184 | |
| GLM 5 | 10.0 | 10.0 | 100.0% | 0 | 11.33s | 609 | 33 | 4,076 |
| 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 | 6.85s | 11,775 | 370 | 35 | |
| GLM 5 | 10.0 | 10.0 | 100.0% | 0 | 15.93s | 6,935 | 233 | 994 |
| 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 | 5.48s | 258 | 200 | 222 | |
| GLM 5 | 3.0 | 10.0 | 0.0% | 0 | 67.37s | 186 | 401 | 12,450 |
Perbandingan Cepat
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