- Peringkat
- #20
- Total token output
- 95,583
- Waktu respons (rata-rata)
- 22.51s
- Total Biaya
- $3.070
Claude Opus 5 (high) vs GPT-6 Astra (low)
GPT-6 Astra (low) unggul dalam skor rata-rata dengan 9.5 vs 9.2. GPT-6 Astra (low) memiliki biaya benchmark lebih rendah di $1.289 vs $3.070. GPT-6 Astra (low) lebih cepat di 5.09s vs 22.51s, dengan tingkat keberhasilan 81.8% vs 90.9%.
- Peringkat
- #9
- Total token output
- 10,144
- Waktu respons (rata-rata)
- 5.09s
- Total Biaya
- $1.289
Model yang direkomendasikan
GPT-6 Astra (low)
It has the best score here (9.5), while costing about 2.4x less than Claude Opus 5 (high).
Perbandingan terperinci
| Metrik | Claude Opus 5 Claude Opus 5 high | GPT-6 Astra GPT-6 Astra low |
|---|---|---|
| Skor | 9.2 | 9.5 |
| Peringkat | #20 | #9 |
| Keandalan | 10.0 | 9.9 |
| Konsistensi | 10.0 | 10.0 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 81.8% | 90.9% |
| Tes tidak stabil | 0 | 0 |
| Total Run | 66 | 66 |
| Biaya per hasil | 17.052 | 6.441 |
| Total Biaya | $3.070 | $1.289 |
| Harga input | $5.000 / 1M | $10.000 / 1M |
| Harga output | $25.000 / 1M | $50.000 / 1M |
| Total token input | 135,956 | 78,100 |
| Token output | 64,624 | 4,155 |
| Token penalaran | 30,959 | 5,989 |
| Waktu respons (rata-rata) | 22.51s | 5.09s |
| Waktu respons (maks) | 159.01s | 28.60s |
| Waktu respons (total) | 495.12s | 112.04s |
| Parameter | ~5T total (~500B aktif) | ~2T total (~150B aktif) |
| Ketersediaan | Tertutup | Tertutup |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#20 Claude Opus 5
high- Biaya
- $0.265
- Waktu
- 144.5s
- Token
- 10,741 tok
#9 GPT-6 Astra
low
SVG tidak valid
- Biaya
- $0.151
- Waktu
- 48.9s
- Token
- 3,094 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
| 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 5 | 10.0 | 10.0 | 100.0% | 0 | 5.91s | 834 | 2,063 | 617 | |
| GPT-6 Astra | 10.0 | 10.0 | 100.0% | 0 | 2.05s | 606 | 144 | 202 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Opus 5 | 10.0 | 10.0 | 100.0% | 0 | 12.73s | 10,590 | 7,547 | 1,721 | |
| GPT-6 Astra | 10.0 | 10.0 | 100.0% | 0 | 3.97s | 7,302 | 388 | 976 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Opus 5 | 10.0 | 10.0 | 100.0% | 0 | 31.11s | 98,549 | 10,546 | 2,198 | |
| GPT-6 Astra | 10.0 | 10.0 | 100.0% | 0 | 10.45s | 54,892 | 2,654 | 228 |
| 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 5 | 10.0 | 10.0 | 100.0% | 0 | 4.22s | 10,503 | 488 | 160 | |
| GPT-6 Astra | 10.0 | 10.0 | 100.0% | 0 | 2.22s | 7,140 | 222 | 0 |
| 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 5 | 3.0 | 10.0 | 0.0% | 0 | 104.24s | 972 | 40,623 | 24,923 | |
| GPT-6 Astra | 7.7 | 10.0 | 66.7% | 0 | 13.92s | 732 | 69 | 4,070 |
| 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 5 | 10.0 | 10.0 | 100.0% | 0 | 3.79s | 708 | 268 | 0 | |
| GPT-6 Astra | 10.0 | 10.0 | 100.0% | 0 | 3.11s | 477 | 106 | 53 |
| 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 5 | 10.0 | 10.0 | 100.0% | 0 | 4.78s | 909 | 119 | 361 | |
| GPT-6 Astra | 10.0 | 10.0 | 100.0% | 0 | 2.65s | 660 | 87 | 56 |
| 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 5 | 10.0 | 10.0 | 100.0% | 0 | 4.66s | 894 | 908 | 524 | |
| GPT-6 Astra | 10.0 | 10.0 | 100.0% | 0 | 2.44s | 642 | 209 | 84 |
| 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 5 | 10.0 | 10.0 | 100.0% | 0 | 8.44s | 11,739 | 354 | 0 | |
| GPT-6 Astra | 10.0 | 10.0 | 100.0% | 0 | 4.95s | 5,454 | 246 | 0 |
| 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 5 | 3.0 | 10.0 | 0.0% | 0 | 14.14s | 258 | 1,708 | 455 | |
| GPT-6 Astra | 3.0 | 10.0 | 0.0% | 0 | 4.12s | 195 | 30 | 320 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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