- 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 (medium)
Qwen3.8 Max (medium) unggul dalam skor rata-rata dengan 9.0 vs 8.9. Qwen3.8 Max (medium) memiliki biaya benchmark lebih rendah di $0.771 vs $0.988. GPT-5.3-Codex (medium) lebih cepat di 16.91s vs 23.34s, dengan tingkat keberhasilan 83.3% vs 80.3%.
Model yang Dibandingkan
- Peringkat
- #29
- Total token output
- 92,047
- Waktu respons (rata-rata)
- 23.34s
- Total Biaya
- $0.771
Model yang direkomendasikan
Qwen3.8 Max (medium)
It has the strongest score in this comparison (9.0) and the best overall balance of cost and response time across all 2 models.
Perbandingan terperinci
| Metrik | GPT-5.3-Codex GPT-5.3-Codex medium | Qwen3.8 Max Qwen3.8 Max medium |
|---|---|---|
| Skor | 8.9 | 9.0 |
| Peringkat | #32 | #29 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 8.6 | 9.7 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 83.3% | 80.3% |
| Tes tidak stabil | 4 | 1 |
| Total Run | 66 | 66 |
| Biaya per hasil | 6.171 | 4.532 |
| Total Biaya | $0.988 | $0.771 |
| Harga input | $1.750 / 1M | $2.000 / 1M |
| Harga output | $14.000 / 1M | $6.000 / 1M |
| Total token input | 81,187 | 109,055 |
| Token output | 6,258 | 6,566 |
| Token penalaran | 54,116 | 85,481 |
| Waktu respons (rata-rata) | 16.91s | 23.34s |
| Waktu respons (maks) | 100.93s | 126.60s |
| Waktu respons (total) | 372.03s | 513.47s |
| 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
#29 Qwen3.8 Max
medium- Biaya
- $0.028
- Waktu
- 71.9s
- Token
- 4,750 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 | 10.0 | 10.0 | 100.0% | 0 | 4.17s | 672 | 312 | 2,075 |
| 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 | 10.0 | 10.0 | 100.0% | 0 | 41.35s | 7,893 | 430 | 23,804 |
| 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 | 8.7 | 6.9 | 83.3% | 1 | 91.25s | 81,584 | 4,526 | 30,688 |
| 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 | 10.0 | 10.0 | 100.0% | 0 | 8.72s | 7,782 | 270 | 2,519 |
| 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 | 3.0 | 10.0 | 0.0% | 0 | 41.77s | 780 | 62 | 20,803 |
| 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 | 10.0 | 10.0 | 100.0% | 0 | 6.41s | 516 | 168 | 700 |
| 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 | 10.0 | 10.0 | 100.0% | 0 | 3.49s | 699 | 102 | 914 |
| 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 | 10.0 | 10.0 | 100.0% | 0 | 4.93s | 696 | 401 | 1,575 |
| 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 | 10.0 | 10.0 | 100.0% | 0 | 7.83s | 8,229 | 267 | 636 |
| 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 | 3.0 | 10.0 | 0.0% | 0 | 11.49s | 204 | 28 | 1,767 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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