- Peringkat
- #274
- Total token output
- 84,218
- Waktu respons (rata-rata)
- 28.46s
- Total Biaya
- $0.353
Mistral Large 4 vs Qwen3.5-35B-A3B
Skor rata-rata hampir imbang di 5.5 vs 5.6. Qwen3.5-35B-A3B memiliki biaya benchmark lebih rendah di $0.120 vs $0.353. Qwen3.5-35B-A3B lebih cepat di 18.31s vs 28.46s, dengan tingkat keberhasilan 30.4% vs 37.7%.
Model yang Dibandingkan
- Peringkat
- #273
- Total token output
- 135,768
- Waktu respons (rata-rata)
- 18.31s
- Total Biaya
- $0.120
Model yang direkomendasikan
Qwen3.5-35B-A3B
It has the best score here (5.6), while costing about 3.0x less than Mistral Large 4.
Perbandingan terperinci
| Metrik | Mistral Large 4 Mistral Large 4 none | Qwen3.5-35B-A3B Qwen3.5-35B-A3B none |
|---|---|---|
| Skor | 5.5 | 5.6 |
| Peringkat | #274 | #273 |
| Keandalan | 9.9 | 10.0 |
| Konsistensi | 8.8 | 8.6 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 30.4% | 37.7% |
| Tes tidak stabil | 4 | 4 |
| Total Run | 69 | 69 |
| Biaya per hasil | 7.044 | 3.135 |
| Total Biaya | $0.353 | $0.120 |
| Harga input | $0.680 / 1M | $0.080 / 1M |
| Harga output | $2.090 / 1M | $0.750 / 1M |
| Harga baca cache | $0.070 / 1M | $0.040 / 1M |
| Harga tulis cache | T/A | T/A |
| Total token input | 259,048 | 218,886 |
| Token output | 84,218 | 135,768 |
| Token penalaran | 0 | 0 |
| Waktu respons (rata-rata) | 28.46s | 18.31s |
| Waktu respons (maks) | 385.10s | 209.15s |
| Waktu respons (total) | 654.47s | 421.19s |
| Parameter | 1.05T total (49B aktif) | 35B total (3B aktif) |
| Ketersediaan | Tertutup | Sumber terbuka |
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.
#274 Mistral Large 4
none- Biaya
- $0.004
- Waktu
- 26.7s
- Token
- 1,923 tok
#273 Qwen3.5-35B-A3B
none- Biaya
- $0.005
- Waktu
- 28.4s
- Token
- 4,518 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 |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 4.7 | 3.1 | 33.3% | 1 | 95.35s | 136,700 | 9,370 | 0 | |
| Qwen3.5-35B-A3B | 3.9 | 9.6 | 0.0% | 0 | 141.22s | 84,356 | 49,152 | 0 |
| Trik anti-AI | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 3.7 | 8.4 | 8.3% | 1 | 1.52s | 705 | 354 | 0 | |
| Qwen3.5-35B-A3B | 3.4 | 7.9 | 16.7% | 1 | 1.43s | 696 | 574 | 0 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 5.4 | 7.8 | 22.2% | 1 | 153.02s | 7,431 | 62,517 | 0 | |
| Qwen3.5-35B-A3B | 5.5 | 10.0 | 33.3% | 0 | 1.39s | 7,808 | 571 | 0 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 3.0 | 10.0 | 0.0% | 0 | 36.48s | 97,682 | 10,963 | 0 | |
| Qwen3.5-35B-A3B | 3.8 | 5.8 | 33.3% | 1 | 128.29s | 107,066 | 84,104 | 0 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 10.0 | 10.0 | 100.0% | 0 | 1.44s | 7,314 | 189 | 0 | |
| Qwen3.5-35B-A3B | 10.0 | 10.0 | 100.0% | 0 | 1.16s | 7,794 | 243 | 0 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 3.0 | 10.0 | 0.0% | 0 | 1.04s | 798 | 21 | 0 | |
| Qwen3.5-35B-A3B | 5.3 | 10.0 | 33.3% | 0 | 507ms | 798 | 17 | 0 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 5.1 | 10.0 | 0.0% | 0 | 2.32s | 516 | 182 | 0 | |
| Qwen3.5-35B-A3B | 6.5 | 3.4 | 66.7% | 1 | 1.19s | 522 | 114 | 0 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 6.5 | 10.0 | 50.0% | 0 | 1.13s | 708 | 60 | 0 | |
| Qwen3.5-35B-A3B | 6.3 | 10.0 | 50.0% | 0 | 809ms | 711 | 63 | 0 |
| Pemecahan teka-teki | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 6.1 | 7.1 | 55.6% | 1 | 1.85s | 717 | 327 | 0 | |
| Qwen3.5-35B-A3B | 3.7 | 7.4 | 22.2% | 1 | 1.35s | 714 | 655 | 0 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 10.0 | 10.0 | 100.0% | 0 | 3.60s | 6,267 | 222 | 0 | |
| Qwen3.5-35B-A3B | 10.0 | 10.0 | 100.0% | 0 | 2.30s | 8,211 | 264 | 0 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 3.0 | 10.0 | 0.0% | 0 | 1.31s | 210 | 13 | 0 | |
| Qwen3.5-35B-A3B | 3.0 | 10.0 | 0.0% | 0 | 493ms | 210 | 11 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
Mistral Large 4nonevsNemotron 3 SupermediumTersedia gratisNemotron 3 SupermediumTersedia gratisvsQwen3.5-35B-A3BnoneQwen3.5-35B-A3BnonevsSpace Bunny AlphalowMistral Large 4nonevsSpace Bunny AlphalowDots 3 Note PreviewmediumTersedia gratisvsQwen3.5-35B-A3BnoneNorth Mini CodemediumTersedia gratisvsMistral Large 4noneDots 3 Note PreviewmediumTersedia gratisvsMistral Large 4noneMistral Large 4nonevsHy4 previewlowNorth Mini CodemediumTersedia gratisvsQwen3.5-35B-A3BnoneGPT-5 NanomediumvsQwen3.5-35B-A3BnoneQwen3.5-35B-A3BnonevsHy4 previewlowTrinity Large ThinkinghighvsQwen3.5-35B-A3Bnone