- Peringkat
- #28
- Total token output
- 42,782
- Waktu respons (rata-rata)
- 27.55s
- Total Biaya
- $2.133
Claude Opus 5.5 (high) vs GPT-6 Sol (high)
GPT-6 Sol (high) unggul dalam skor rata-rata dengan 9.9 vs 9.4. GPT-6 Sol (high) memiliki biaya benchmark lebih rendah di $0.921 vs $2.133. GPT-6 Sol (high) lebih cepat di 23.56s vs 27.55s, dengan tingkat keberhasilan 87.0% vs 95.7%.
Model yang Dibandingkan
- Peringkat
- #3
- Total token output
- 55,519
- Waktu respons (rata-rata)
- 23.56s
- Total Biaya
- $0.921
Model yang direkomendasikan
GPT-6 Sol (high)
It has the best score here (9.9), while costing about 2.3x less than Claude Opus 5.5 (high).
Perbandingan terperinci
| Metrik | Claude Opus 5.5 Claude Opus 5.5 high | GPT-6 Sol GPT-6 Sol high |
|---|---|---|
| Skor | 9.4 | 9.9 |
| Peringkat | #28 | #3 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 9.3 | 10.0 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 87.0% | 95.7% |
| Tes tidak stabil | 2 | 0 |
| Total Run | 69 | 69 |
| Biaya per hasil | 11.222 | 4.185 |
| Total Biaya | $2.133 | $0.921 |
| Harga input | $4.000 / 1M | $2.000 / 1M |
| Harga output | $20.000 / 1M | $10.000 / 1M |
| Harga baca cache | $0.200 / 1M | $0.200 / 1M |
| Harga tulis cache | $5.000 / 1M | $2.500 / 1M |
| Total token input | 319,095 | 182,698 |
| Token output | 10,371 | 5,647 |
| Token penalaran | 32,411 | 49,872 |
| Waktu respons (rata-rata) | 27.55s | 23.56s |
| Waktu respons (maks) | 95.95s | 136.22s |
| Waktu respons (total) | 633.73s | 541.85s |
| Parameter | ~5T total (~500B aktif) | ~2T total (~150B aktif) |
| Ketersediaan | Tertutup | Tertutup |
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.
#28 Claude Opus 5.5
high- Biaya
- $0.136
- Waktu
- 75.6s
- Token
- 6,934 tok
#3 GPT-6 Sol
high- Biaya
- $0.076
- Waktu
- 91.0s
- Token
- 7,593 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 5.5 | 10.0 | 10.0 | 100.0% | 0 | 64.41s | 185,075 | 3,134 | 3,191 | |
| GPT-6 Sol | 10.0 | 10.0 | 100.0% | 0 | 53.32s | 103,798 | 1,020 | 1,910 |
| 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 Sol | 10.0 | 10.0 | 100.0% | 0 | 19.71s | 606 | 159 | 729 |
| 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 Sol | 10.0 | 10.0 | 100.0% | 0 | 19.12s | 7,302 | 391 | 4,970 |
| 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 Sol | 10.0 | 10.0 | 100.0% | 0 | 30.38s | 55,692 | 3,080 | 4,370 |
| 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 Sol | 10.0 | 10.0 | 100.0% | 0 | 2.26s | 7,140 | 234 | 234 |
| 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 Sol | 7.7 | 10.0 | 66.7% | 0 | 62.87s | 732 | 67 | 34,176 |
| 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 Sol | 10.0 | 10.0 | 100.0% | 0 | 3.00s | 477 | 79 | 251 |
| 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 Sol | 10.0 | 10.0 | 100.0% | 0 | 15.61s | 660 | 93 | 481 |
| 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 Sol | 10.0 | 10.0 | 100.0% | 0 | 16.87s | 642 | 213 | 1,030 |
| 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 Sol | 10.0 | 10.0 | 100.0% | 0 | 5.64s | 5,454 | 281 | 117 |
| 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 Sol | 10.0 | 10.0 | 100.0% | 0 | 8.02s | 195 | 30 | 1,604 |
Perbandingan Cepat
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