- Peringkat
- #38
- Total token output
- 42,730
- Waktu respons (rata-rata)
- 7.85s
- Total Biaya
- $0.752
Gemini 3.5 Flash (low) vs GPT-5.3-Codex (medium)
GPT-5.3-Codex (medium) unggul dalam skor rata-rata dengan 9.1 vs 9.0. Gemini 3.5 Flash (low) memiliki biaya benchmark lebih rendah di $0.752 vs $1.318. Gemini 3.5 Flash (low) lebih cepat di 7.85s vs 18.87s, dengan tingkat keberhasilan 85.5% vs 84.1%.
Model yang Dibandingkan
- Peringkat
- #34
- Total token output
- 66,287
- Waktu respons (rata-rata)
- 18.87s
- Total Biaya
- $1.318
Model yang direkomendasikan
Gemini 3.5 Flash (low)
Its score stays close to the best score here (9.0 vs 9.1), while costing about 1.8x less than GPT-5.3-Codex (medium).
Perbandingan terperinci
| Metrik | Gemini 3.5 Flash Gemini 3.5 Flash low | GPT-5.3-Codex GPT-5.3-Codex medium |
|---|---|---|
| Skor | 9.0 | 9.1 |
| Peringkat | #38 | #34 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 9.4 | 8.6 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 85.5% | 84.1% |
| Tes tidak stabil | 2 | 4 |
| Total Run | 69 | 69 |
| Biaya per hasil | 3.955 | 7.753 |
| Total Biaya | $0.752 | $1.318 |
| Harga input | $1.500 / 1M | $1.750 / 1M |
| Harga output | $9.000 / 1M | $14.000 / 1M |
| Harga baca cache | $0.150 / 1M | $0.175 / 1M |
| Harga tulis cache | $0.084 / 1M | T/A |
| Total token input | 244,533 | 222,794 |
| Token output | 3,450 | 7,357 |
| Token penalaran | 39,280 | 58,930 |
| Waktu respons (rata-rata) | 7.85s | 18.87s |
| Waktu respons (maks) | 53.74s | 100.93s |
| Waktu respons (total) | 180.45s | 433.94s |
| Parameter | ~500B total (~20B aktif) | ~1.2T total (~80B 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.
#38 Gemini 3.5 Flash
low- Biaya
- $0.068
- Waktu
- 39.1s
- Token
- 7,588 tok
#34 GPT-5.3-Codex
medium- Biaya
- $0.049
- Waktu
- 54.9s
- Token
- 3,580 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
| Tugas agen | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Gemini 3.5 Flash | 10.0 | 10.0 | 100.0% | 0 | 53.74s | 156,707 | 1,211 | 6,324 | |
| GPT-5.3-Codex | 10.0 | 10.0 | 100.0% | 0 | 61.91s | 141,607 | 1,099 | 4,814 |
| Trik anti-AI | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Gemini 3.5 Flash | 10.0 | 10.0 | 100.0% | 0 | 2.52s | 494 | 209 | 2,536 | |
| GPT-5.3-Codex | 8.7 | 7.9 | 91.7% | 1 | 4.16s | 606 | 240 | 1,722 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Gemini 3.5 Flash | 7.8 | 10.0 | 66.7% | 0 | 6.71s | 8,118 | 458 | 13,420 | |
| GPT-5.3-Codex | 10.0 | 10.0 | 100.0% | 0 | 19.50s | 7,302 | 535 | 10,890 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Gemini 3.5 Flash | 8.2 | 6.9 | 66.7% | 1 | 29.99s | 63,752 | 557 | 3,713 | |
| GPT-5.3-Codex | 10.0 | 10.0 | 100.0% | 0 | 26.04s | 57,988 | 4,258 | 5,816 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Gemini 3.5 Flash | 10.0 | 10.0 | 100.0% | 0 | 1.81s | 7,548 | 279 | 1,164 | |
| GPT-5.3-Codex | 10.0 | 10.0 | 100.0% | 0 | 3.07s | 7,140 | 234 | 728 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Gemini 3.5 Flash | 5.3 | 7.2 | 44.4% | 1 | 4.89s | 642 | 12 | 6,312 | |
| GPT-5.3-Codex | 5.9 | 7.2 | 55.6% | 1 | 63.93s | 732 | 71 | 30,150 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Gemini 3.5 Flash | 10.0 | 10.0 | 100.0% | 0 | 2.27s | 486 | 119 | 916 | |
| GPT-5.3-Codex | 4.6 | 10.0 | 0.0% | 0 | 4.87s | 477 | 187 | 331 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Gemini 3.5 Flash | 9.9 | 10.0 | 100.0% | 0 | 1.86s | 615 | 71 | 1,652 | |
| GPT-5.3-Codex | 10.0 | 10.0 | 100.0% | 0 | 3.04s | 660 | 93 | 693 |
| Pemecahan teka-teki | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Gemini 3.5 Flash | 10.0 | 10.0 | 100.0% | 0 | 2.35s | 558 | 288 | 2,150 | |
| GPT-5.3-Codex | 9.0 | 7.9 | 88.9% | 1 | 5.05s | 642 | 356 | 1,593 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Gemini 3.5 Flash | 10.0 | 10.0 | 100.0% | 0 | 3.27s | 5,457 | 234 | 403 | |
| GPT-5.3-Codex | 10.0 | 10.0 | 100.0% | 0 | 6.37s | 5,445 | 254 | 492 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Gemini 3.5 Flash | 10.0 | 10.0 | 100.0% | 0 | 1.88s | 156 | 12 | 690 | |
| GPT-5.3-Codex | 2.8 | 1.6 | 33.3% | 1 | 14.43s | 195 | 30 | 1,701 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
GPT-5.3-CodexmediumvsQwen3.8 Max (0902)highMuse Spark 1.3highvsGPT-5.3-CodexmediumGemini 3.5 FlashlowvsQwen3.8 Max (0902)mediumGPT-5.3-CodexmediumvsParetononeSeed 2.1 TurbohighvsGPT-5.3-CodexmediumGemini 3.5 FlashlowvsMuse Spark 1.3mediumClaude Sonnet 5.5maxvsGPT-5.3-CodexmediumSeed 2.1 TurbohighvsGemini 3.5 FlashlowGemini 3.5 FlashlowvsParetononeGemini 3.5 FlashlowvsGLM 5.3 FlashmaxGemini 3.5 FlashlowvsMuse Spark 1.3highGemini 3.5 FlashlowvsQwen3.8 Max (0902)high