- Peringkat
- #21
- Total token output
- 36,457
- Waktu respons (rata-rata)
- 25.88s
- Total Biaya
- $1.266
Claude Opus 5.5 (high) vs GPT-6 Astra (medium)
GPT-6 Astra (medium) unggul dalam skor rata-rata dengan 9.4 vs 9.3. Claude Opus 5.5 (high) memiliki biaya benchmark lebih rendah di $1.266 vs $1.774. GPT-6 Astra (medium) lebih cepat di 8.08s vs 25.88s, dengan tingkat keberhasilan 86.4% vs 90.9%.
Model yang Dibandingkan
- Peringkat
- #16
- Total token output
- 19,627
- Waktu respons (rata-rata)
- 8.08s
- Total Biaya
- $1.774
Model yang direkomendasikan
GPT-6 Astra (medium)
It has the best score here (9.4), while responding about 3.2x faster than Claude Opus 5.5 (high).
Perbandingan terperinci
| Metrik | Claude Opus 5.5 Claude Opus 5.5 high | GPT-6 Astra GPT-6 Astra medium |
|---|---|---|
| Skor | 9.3 | 9.4 |
| Peringkat | #21 | #16 |
| Keandalan | 10.0 | 9.9 |
| Konsistensi | 9.3 | 9.2 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 86.4% | 90.9% |
| Tes tidak stabil | 2 | 2 |
| Total Run | 66 | 66 |
| Biaya per hasil | 7.029 | 9.337 |
| Total Biaya | $1.266 | $1.774 |
| Harga input | $4.000 / 1M | $10.000 / 1M |
| Harga output | $20.000 / 1M | $50.000 / 1M |
| Total token input | 134,020 | 79,264 |
| Token output | 7,237 | 4,789 |
| Token penalaran | 29,220 | 14,838 |
| Waktu respons (rata-rata) | 25.88s | 8.08s |
| Waktu respons (maks) | 95.95s | 73.48s |
| Waktu respons (total) | 569.33s | 177.70s |
| 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.
#21 Claude Opus 5.5
high- Biaya
- $0.136
- Waktu
- 75.6s
- Token
- 6,934 tok
#16 GPT-6 Astra
medium- Biaya
- $0.231
- Waktu
- 81.0s
- Token
- 4,708 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 5.5 | 10.0 | 10.0 | 100.0% | 0 | 12.58s | 858 | 313 | 683 | |
| GPT-6 Astra | 10.0 | 10.0 | 100.0% | 0 | 2.57s | 606 | 162 | 286 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Opus 5.5 | 10.0 | 10.0 | 100.0% | 0 | 13.44s | 10,608 | 584 | 5,042 | |
| GPT-6 Astra | 10.0 | 10.0 | 100.0% | 0 | 4.95s | 7,302 | 394 | 1,673 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Claude Opus 5.5 | 10.0 | 10.0 | 100.0% | 0 | 60.05s | 96,745 | 4,683 | 6,301 | |
| GPT-6 Astra | 10.0 | 10.0 | 100.0% | 0 | 13.91s | 56,056 | 3,244 | 833 |
| 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 5.5 | 10.0 | 10.0 | 100.0% | 0 | 12.31s | 10,515 | 312 | 355 | |
| GPT-6 Astra | 10.0 | 10.0 | 100.0% | 0 | 1.95s | 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 5.5 | 5.3 | 7.2 | 44.4% | 1 | 30.08s | 990 | 58 | 14,458 | |
| GPT-6 Astra | 5.9 | 7.2 | 55.6% | 1 | 30.55s | 732 | 69 | 10,911 |
| 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 5.5 | 10.0 | 10.0 | 100.0% | 0 | 5.66s | 714 | 283 | 352 | |
| GPT-6 Astra | 10.0 | 10.0 | 100.0% | 0 | 4.13s | 477 | 123 | 249 |
| 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 5.5 | 10.0 | 10.0 | 100.0% | 0 | 21.35s | 921 | 96 | 435 | |
| GPT-6 Astra | 10.0 | 10.0 | 100.0% | 0 | 2.86s | 660 | 91 | 181 |
| 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 5.5 | 8.7 | 7.7 | 88.9% | 1 | 30.85s | 912 | 496 | 605 | |
| GPT-6 Astra | 10.0 | 10.0 | 100.0% | 0 | 2.54s | 642 | 208 | 170 |
| 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 5.5 | 10.0 | 10.0 | 100.0% | 0 | 75.42s | 11,757 | 412 | 989 | |
| GPT-6 Astra | 10.0 | 10.0 | 100.0% | 0 | 5.72s | 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 5.5 | 3.0 | 10.0 | 0.0% | 0 | 27.41s | 0 | 0 | 0 | |
| GPT-6 Astra | 2.8 | 1.6 | 33.3% | 1 | 5.98s | 195 | 30 | 535 |
Perbandingan Cepat
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