- Peringkat
- #32
- Total token output
- 60,374
- Waktu respons (rata-rata)
- 16.91s
- Total Biaya
- $0.988
GPT-5.3-Codex (medium) vs Qwen3.8 Max (0902) (high)
Skor rata-rata hampir imbang di 8.9 vs 8.9. GPT-5.3-Codex (medium) memiliki biaya benchmark lebih rendah di $0.988 vs $2.736. GPT-5.3-Codex (medium) lebih cepat di 16.91s vs 185.56s, dengan tingkat keberhasilan 83.3% vs 86.4%.
- Peringkat
- #31
- Total token output
- 419,443
- Waktu respons (rata-rata)
- 185.56s
- Total Biaya
- $2.736
Model yang direkomendasikan
GPT-5.3-Codex (medium)
It has the best score here (8.9), while costing about 2.8x less than Qwen3.8 Max (0902) (high).
Perbandingan terperinci
| Metrik | GPT-5.3-Codex GPT-5.3-Codex medium | Qwen3.8 Max (0902) Qwen3.8 Max (0902) high |
|---|---|---|
| Skor | 8.9 | 8.9 |
| Peringkat | #32 | #31 |
| Keandalan | 10.0 | 9.8 |
| Konsistensi | 8.6 | 9.0 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 83.3% | 86.4% |
| Tes tidak stabil | 4 | 3 |
| Total Run | 66 | 66 |
| Biaya per hasil | 6.171 | 16.089 |
| Total Biaya | $0.988 | $2.736 |
| Harga input | $1.750 / 1M | $2.000 / 1M |
| Harga output | $14.000 / 1M | $6.000 / 1M |
| Total token input | 81,187 | 109,226 |
| Token output | 6,258 | 6,890 |
| Token penalaran | 54,116 | 412,553 |
| Waktu respons (rata-rata) | 16.91s | 185.56s |
| Waktu respons (maks) | 100.93s | 912.78s |
| Waktu respons (total) | 372.03s | 4082.41s |
| Parameter | ~1.2T total (~80B aktif) | 2.4T total (~100B aktif) |
| Ketersediaan | Tertutup | Tertutup |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#32 GPT-5.3-Codex
medium- Biaya
- $0.049
- Waktu
- 54.9s
- Token
- 3,580 tok
#31 Qwen3.8 Max (0902)
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-5.3-Codex | 8.7 | 7.9 | 91.7% | 1 | 4.16s | 606 | 240 | 1,722 | |
| Qwen3.8 Max (0902) | 10.0 | 10.0 | 100.0% | 0 | 15.86s | 1,128 | 263 | 6,631 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.3-Codex | 10.0 | 10.0 | 100.0% | 0 | 19.50s | 7,302 | 535 | 10,890 | |
| Qwen3.8 Max (0902) | 10.0 | 10.0 | 100.0% | 0 | 253.22s | 8,235 | 418 | 91,734 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.3-Codex | 10.0 | 10.0 | 100.0% | 0 | 26.04s | 57,988 | 4,258 | 5,816 | |
| Qwen3.8 Max (0902) | 8.7 | 6.9 | 83.3% | 1 | 110.39s | 79,527 | 5,215 | 28,102 |
| 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-5.3-Codex | 10.0 | 10.0 | 100.0% | 0 | 3.07s | 7,140 | 234 | 728 | |
| Qwen3.8 Max (0902) | 10.0 | 10.0 | 100.0% | 0 | 16.37s | 8,010 | 261 | 3,598 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.3-Codex | 5.9 | 7.2 | 55.6% | 1 | 63.93s | 732 | 71 | 30,150 | |
| Qwen3.8 Max (0902) | 5.9 | 7.2 | 55.6% | 1 | 658.46s | 842 | 31 | 154,450 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.3-Codex | 4.6 | 10.0 | 0.0% | 0 | 4.87s | 477 | 187 | 331 | |
| Qwen3.8 Max (0902) | 6.5 | 3.4 | 66.7% | 1 | 75.11s | 630 | 80 | 8,110 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.3-Codex | 10.0 | 10.0 | 100.0% | 0 | 3.04s | 660 | 93 | 693 | |
| Qwen3.8 Max (0902) | 9.8 | 10.0 | 100.0% | 0 | 7.55s | 927 | 86 | 1,823 |
| 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-5.3-Codex | 9.0 | 7.9 | 88.9% | 1 | 5.05s | 642 | 356 | 1,593 | |
| Qwen3.8 Max (0902) | 10.0 | 10.0 | 100.0% | 0 | 134.14s | 1,038 | 268 | 47,351 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.3-Codex | 10.0 | 10.0 | 100.0% | 0 | 6.37s | 5,445 | 254 | 492 | |
| Qwen3.8 Max (0902) | 10.0 | 10.0 | 100.0% | 0 | 5.21s | 8,571 | 249 | 243 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5.3-Codex | 2.8 | 1.6 | 33.3% | 1 | 14.43s | 195 | 30 | 1,701 | |
| Qwen3.8 Max (0902) | 3.0 | 10.0 | 0.0% | 0 | 532.59s | 318 | 19 | 70,511 |
Perbandingan Cepat
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