- 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) (medium)
GPT-5.3-Codex (medium) unggul dalam skor rata-rata dengan 8.9 vs 8.8. Qwen3.8 Max (0902) (medium) memiliki biaya benchmark lebih rendah di $0.677 vs $0.988. GPT-5.3-Codex (medium) lebih cepat di 16.91s vs 26.01s, dengan tingkat keberhasilan 83.3% vs 83.3%.
- Peringkat
- #36
- Total token output
- 80,678
- Waktu respons (rata-rata)
- 26.01s
- Total Biaya
- $0.677
Model yang direkomendasikan
GPT-5.3-Codex (medium)
It has the best score here (8.9), while responding about 1.5x faster than Qwen3.8 Max (0902) (medium).
Perbandingan terperinci
| Metrik | GPT-5.3-Codex GPT-5.3-Codex medium | Qwen3.8 Max (0902) Qwen3.8 Max (0902) medium |
|---|---|---|
| Skor | 8.9 | 8.8 |
| Peringkat | #32 | #36 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 8.6 | 9.3 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 83.3% | 83.3% |
| Tes tidak stabil | 4 | 2 |
| Total Run | 66 | 66 |
| Biaya per hasil | 6.171 | 3.981 |
| Total Biaya | $0.988 | $0.677 |
| Harga input | $1.750 / 1M | $2.000 / 1M |
| Harga output | $14.000 / 1M | $6.000 / 1M |
| Total token input | 81,187 | 96,323 |
| Token output | 6,258 | 5,961 |
| Token penalaran | 54,116 | 74,717 |
| Waktu respons (rata-rata) | 16.91s | 26.01s |
| Waktu respons (maks) | 100.93s | 168.09s |
| Waktu respons (total) | 372.03s | 572.19s |
| 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
#36 Qwen3.8 Max (0902)
medium- Biaya
- $0.036
- Waktu
- 108.3s
- Token
- 5,980 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 | 5.03s | 672 | 295 | 2,003 |
| 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) | 8.4 | 7.4 | 88.9% | 1 | 45.74s | 7,893 | 551 | 20,628 |
| 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) | 10.0 | 10.0 | 100.0% | 0 | 94.38s | 68,852 | 3,895 | 24,303 |
| 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 | 10.54s | 7,782 | 261 | 2,591 |
| 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) | 3.6 | 7.2 | 22.2% | 1 | 49.45s | 780 | 44 | 19,572 |
| 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) | 10.0 | 10.0 | 100.0% | 0 | 7.56s | 516 | 202 | 689 |
| 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) | 10.0 | 10.0 | 100.0% | 0 | 4.24s | 699 | 90 | 886 |
| 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 | 5.89s | 696 | 353 | 1,599 |
| 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 | 5.93s | 8,229 | 249 | 194 |
| 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 | 17.01s | 204 | 21 | 2,252 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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