- Peringkat
- #131
- Total token output
- 44,525
- Waktu respons (rata-rata)
- 7.43s
- Total Biaya
- $0.072
GPT-5.6 Luna (medium) vs Qwen3.8 2.4T A95B (high)
Skor rata-rata hampir imbang di 7.4 vs 7.4. GPT-5.6 Luna (medium) memiliki biaya benchmark lebih rendah di $0.072 vs $2.357. GPT-5.6 Luna (medium) lebih cepat di 7.43s vs 120.59s, dengan tingkat keberhasilan 62.1% vs 74.2%.
Model yang Dibandingkan
- Peringkat
- #133
- Total token output
- 456,028
- Waktu respons (rata-rata)
- 120.59s
- Total Biaya
- $2.357
Model yang direkomendasikan
GPT-5.6 Luna (medium)
It has the best score here (7.4), while costing about 33.0x less than Qwen3.8 2.4T A95B (high).
Perbandingan terperinci
| Metrik | GPT-5.6 Luna GPT-5.6 Luna medium | Qwen3.8 2.4T A95B Qwen3.8 2.4T A95B high |
|---|---|---|
| Skor | 7.4 | 7.4 |
| Peringkat | #131 | #133 |
| Keandalan | 10.0 | 9.4 |
| Konsistensi | 9.2 | 8.3 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 62.1% | 74.2% |
| Tes tidak stabil | 2 | 4 |
| Total Run | 66 | 66 |
| Biaya per hasil | 2.601 | 16.832 |
| Total Biaya | $0.072 | $2.357 |
| Harga input | $0.200 / 1M | $2.000 / 1M |
| Harga output | $1.200 / 1M | $6.000 / 1M |
| Total token input | 89,685 | 108,931 |
| Token output | 5,701 | 112,801 |
| Token penalaran | 38,824 | 343,227 |
| Waktu respons (rata-rata) | 7.43s | 120.59s |
| Waktu respons (maks) | 29.85s | 532.28s |
| Waktu respons (total) | 163.54s | 2653.05s |
| Parameter | ~400B total (~17B aktif) | 2.4T total (95B aktif) |
| Ketersediaan | Tertutup | Bobot tersedia |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#131 GPT-5.6 Luna
medium- Biaya
- $0.014
- Waktu
- 14.6s
- Token
- 2,362 tok
#133 Qwen3.8 2.4T A95B
high
Reached the allocated time limit (600 seconds) without receiving showcase output.
- Biaya
- $0.000
- Waktu
- 600.0s
- Token
- 0 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 |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.6 Luna | 8.3 | 10.0 | 75.0% | 0 | 2.52s | 606 | 160 | 987 | |
| Qwen3.8 2.4T A95B | 10.0 | 10.0 | 100.0% | 0 | 24.22s | 1,128 | 305 | 4,864 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.6 Luna | 5.4 | 7.2 | 44.4% | 1 | 10.38s | 7,302 | 564 | 9,928 | |
| Qwen3.8 2.4T A95B | 5.9 | 6.3 | 55.6% | 1 | 160.52s | 6,399 | 3,310 | 48,078 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.6 Luna | 10.0 | 10.0 | 100.0% | 0 | 14.59s | 66,477 | 3,926 | 4,594 | |
| Qwen3.8 2.4T A95B | 6.9 | 5.9 | 66.7% | 1 | 266.12s | 81,205 | 7,791 | 41,921 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.6 Luna | 10.0 | 10.0 | 100.0% | 0 | 1.95s | 7,140 | 234 | 324 | |
| Qwen3.8 2.4T A95B | 10.0 | 10.0 | 100.0% | 0 | 13.67s | 7,928 | 550 | 2,307 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.6 Luna | 2.9 | 7.2 | 11.1% | 1 | 18.45s | 732 | 70 | 17,375 | |
| Qwen3.8 2.4T A95B | 4.1 | 6.5 | 22.2% | 1 | 301.08s | 964 | 11,279 | 139,028 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.6 Luna | 5.1 | 10.0 | 0.0% | 0 | 4.34s | 477 | 112 | 496 | |
| Qwen3.8 2.4T A95B | 6.1 | 3.1 | 66.7% | 1 | 11.38s | 630 | 2,020 | 2,165 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.6 Luna | 9.9 | 10.0 | 100.0% | 0 | 2.38s | 660 | 95 | 393 | |
| Qwen3.8 2.4T A95B | 9.8 | 10.0 | 100.0% | 0 | 11.45s | 927 | 245 | 1,727 |
| Pemecahan teka-teki | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.6 Luna | 7.8 | 10.0 | 66.7% | 0 | 4.04s | 642 | 255 | 2,104 | |
| Qwen3.8 2.4T A95B | 10.0 | 10.0 | 100.0% | 0 | 65.54s | 989 | 698 | 15,073 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.6 Luna | 10.0 | 10.0 | 100.0% | 0 | 6.02s | 5,454 | 256 | 244 | |
| Qwen3.8 2.4T A95B | 10.0 | 10.0 | 100.0% | 0 | 32.93s | 8,481 | 302 | 656 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.6 Luna | 3.0 | 10.0 | 0.0% | 0 | 6.64s | 195 | 29 | 2,379 | |
| Qwen3.8 2.4T A95B | 3.0 | 10.0 | 0.0% | 0 | 347.95s | 280 | 86,301 | 87,408 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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