- Peringkat
- #299
- Total token output
- 19,069
- Waktu respons (rata-rata)
- 9.07s
- Total Biaya
- $0.034
Qwen3 Coder Next (medium) vs GLM 4.7 Flash
GLM 4.7 Flash unggul dalam skor rata-rata dengan 4.8 vs 4.6. GLM 4.7 Flash memiliki biaya benchmark lebih rendah di $0.016 vs $0.034. GLM 4.7 Flash lebih cepat di 8.81s vs 9.07s, dengan tingkat keberhasilan 25.8% vs 30.3%.
Model yang Dibandingkan
- Peringkat
- #291
- Total token output
- 22,992
- Waktu respons (rata-rata)
- 8.81s
- Total Biaya
- $0.016
Model yang direkomendasikan
GLM 4.7 Flash
It has the best score here (4.8), while costing about 2.2x less than Qwen3 Coder Next (medium).
Perbandingan terperinci
| Metrik | Qwen3 Coder Next Qwen3 Coder Next medium | GLM 4.7 Flash GLM 4.7 Flash none |
|---|---|---|
| Skor | 4.6 | 4.8 |
| Peringkat | #299 | #291 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 8.6 | 8.9 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 25.8% | 30.3% |
| Tes tidak stabil | 4 | 3 |
| Total Run | 66 | 66 |
| Biaya per hasil | 1.058 | 0.307 |
| Total Biaya | $0.034 | $0.016 |
| Harga input | $0.120 / 1M | $0.061 / 1M |
| Harga output | $0.800 / 1M | $0.400 / 1M |
| Total token input | 148,203 | 101,513 |
| Token output | 19,069 | 22,992 |
| Token penalaran | 0 | 0 |
| Waktu respons (rata-rata) | 9.07s | 8.81s |
| Waktu respons (maks) | 81.80s | 97.15s |
| Waktu respons (total) | 154.19s | 140.88s |
| Parameter | 80B total (3B aktif) | 30B total (3B aktif) |
| Ketersediaan | Sumber terbuka | Sumber terbuka |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#299 Qwen3 Coder Next
medium
Reached the allocated time limit (300 seconds) without receiving showcase output.
- Biaya
- $0.000
- Waktu
- 300.0s
- Token
- 0 tok
#291 GLM 4.7 Flash
none
Reached the allocated time limit (300 seconds) without receiving showcase output.
- Biaya
- $0.000
- Waktu
- 300.0s
- 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 |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3 Coder Next | 3.5 | 8.1 | 16.7% | 1 | 8.64s | 645 | 1,252 | 0 | |
| GLM 4.7 Flash | 5.2 | 7.9 | 41.7% | 1 | 5.51s | 555 | 438 | 0 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3 Coder Next | 3.7 | 7.2 | 22.2% | 1 | 924ms | 7,185 | 336 | 0 | |
| GLM 4.7 Flash | 4.3 | 10.0 | 0.0% | 0 | 2.54s | 7,256 | 650 | 0 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3 Coder Next | 3.0 | 10.0 | 0.0% | 0 | 14.65s | 121,413 | 16,067 | 0 | |
| GLM 4.7 Flash | 3.0 | 10.0 | 0.0% | 0 | 50.18s | 77,084 | 21,175 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3 Coder Next | 6.5 | 10.0 | 50.0% | 0 | 81.80s | 7,758 | 246 | 0 | |
| GLM 4.7 Flash | 7.3 | 5.8 | 83.3% | 1 | 4.82s | 7,107 | 196 | 0 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3 Coder Next | 3.6 | 7.2 | 22.2% | 1 | 570ms | 762 | 25 | 0 | |
| GLM 4.7 Flash | 5.3 | 10.0 | 33.3% | 0 | 2.22s | 696 | 19 | 0 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3 Coder Next | 6.3 | 3.4 | 66.7% | 1 | 1.39s | 498 | 142 | 0 | |
| GLM 4.7 Flash | 4.0 | 10.0 | 0.0% | 0 | 1.59s | 477 | 134 | 0 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3 Coder Next | 6.3 | 10.0 | 50.0% | 0 | 7.49s | 684 | 63 | 0 | |
| GLM 4.7 Flash | 6.5 | 10.0 | 50.0% | 0 | 888ms | 636 | 62 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3 Coder Next | 3.0 | 10.0 | 0.0% | 0 | 1.25s | 678 | 671 | 0 | |
| GLM 4.7 Flash | 6.4 | 10.0 | 33.3% | 0 | 1.20s | 609 | 97 | 0 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3 Coder Next | 10.0 | 10.0 | 100.0% | 0 | 2.64s | 8,364 | 255 | 0 | |
| GLM 4.7 Flash | 2.8 | 1.6 | 33.3% | 1 | 7.05s | 6,907 | 212 | 0 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3 Coder Next | 3.0 | 10.0 | 0.0% | 0 | 399ms | 216 | 12 | 0 | |
| GLM 4.7 Flash | 3.0 | 10.0 | 0.0% | 0 | 692ms | 186 | 9 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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