#155 Qwen3.5-9B
none
Invalid SVG
- Cost
- $0.000
- Time
- 300.0s
- Tokens
- 0 tok
AI BENCHY Compare
Qwen: Qwen3.5-9B vs Z.ai: GLM 4.7 Flash
Ringkasan
Perbandingan benchmark Qwen3.5-9B vs GLM 4.7 Flash: Qwen3.5-9B unggul dalam skor rata-rata dengan 4.6 vs 4.4. Qwen3.5-9B memiliki biaya benchmark lebih rendah di $0.006 vs $0.054. Qwen3.5-9B lebih cepat di 1.89s vs 35.10s, dengan tingkat keberhasilan 20.6% vs 33.3%.
Model yang direkomendasikan: Qwen3.5-9B - It has the best score here (4.6), while costing about 9.9x less than GLM 4.7 Flash.
Benchmark dihasilkan dari suite pengujian AI BENCHY pada: 2026-06-10
| Metrik | Qwen3.5-9B Qwen3.5-9B none | GLM 4.7 Flash GLM 4.7 Flash medium |
|---|---|---|
| Skor | 4.6 | 4.4 |
| Peringkat | #155 | #159 |
| Keandalan | 10.0 | 6.7 |
| Konsistensi | 9.7 | 6.8 |
| Tes benar | ||
| Tingkat lulus per percobaan | 20.6% | 33.3% |
| Tes tidak stabil | 1 | 8 |
| Total Run | 63 | 63 |
| Biaya per hasil | 0.123 | 1.337 |
| Total Biaya | $0.006 | $0.054 |
| Harga input | $0.100 / 1M | $0.060 / 1M |
| Harga output | $0.150 / 1M | $0.400 / 1M |
| Total token input | 48,041 | 37,206 |
| Token output | 3,952 | 43,754 |
| Token penalaran | 0 | 89,079 |
| Waktu respons (rata-rata) | 1.89s | 35.10s |
| Waktu respons (maks) | 6.03s | 174.55s |
| Waktu respons (total) | 39.68s | 456.24s |
Generation showcase
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#159 GLM 4.7 Flash
medium
Invalid SVG
- Cost
- $0.000
- Time
- 186.2s
- Tokens
- 12,112 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 |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.5-9B | 3.1 | 9.9 | 0.0% | 0 | 1.71s | 696 | 582 | 0 | |
| GLM 4.7 Flash | 4.7 | 5.9 | 41.7% | 2 | 14.95s | 555 | 1,122 | 6,110 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.5-9B | 3.9 | 7.8 | 11.1% | 1 | 5.60s | 7,913 | 1,042 | 0 | |
| GLM 4.7 Flash | 3.2 | 7.4 | 11.1% | 1 | 55.33s | 3,106 | 4,981 | 22,387 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.5-9B | 3.0 | 10.0 | 0.0% | 0 | 5.91s | 20,397 | 1,255 | 0 | |
| GLM 4.7 Flash | 2.8 | 2.1 | 33.3% | 1 | 65.57s | 17,185 | 2,585 | 20,648 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.5-9B | 10.0 | 10.0 | 100.0% | 0 | 847ms | 7,788 | 249 | 0 | |
| GLM 4.7 Flash | 6.3 | 10.0 | 50.0% | 0 | 1.51s | 7,107 | 584 | 2,755 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.5-9B | 3.0 | 10.0 | 0.0% | 0 | 464ms | 789 | 24 | 0 | |
| GLM 4.7 Flash | 3.5 | 4.4 | 33.3% | 2 | 174.55s | 643 | 33,000 | 25,394 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.5-9B | 4.4 | 9.9 | 0.0% | 0 | 552ms | 522 | 99 | 0 | |
| GLM 4.7 Flash | 3.6 | 9.7 | 0.0% | 0 | 18.14s | 318 | 18 | 2,138 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.5-9B | 6.5 | 10.0 | 50.0% | 0 | 514ms | 711 | 75 | 0 | |
| GLM 4.7 Flash | 6.2 | 5.8 | 66.7% | 1 | 2.97s | 636 | 388 | 2,181 |
| Pemecahan teka-teki | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.5-9B | 3.2 | 10.0 | 0.0% | 0 | 621ms | 714 | 347 | 0 | |
| GLM 4.7 Flash | 2.9 | 7.2 | 11.1% | 1 | 12.93s | 521 | 781 | 5,255 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.5-9B | 10.0 | 10.0 | 100.0% | 0 | 1.27s | 8,301 | 273 | 0 | |
| GLM 4.7 Flash | 10.0 | 10.0 | 100.0% | 0 | 15.95s | 6,949 | 224 | 1,014 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.5-9B | 3.0 | 10.0 | 0.0% | 0 | 2.32s | 210 | 6 | 0 | |
| GLM 4.7 Flash | 3.0 | 10.0 | 0.0% | 0 | 11.13s | 186 | 71 | 1,197 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
Ling-2.6-1TnonevsGLM 4.7 FlashmediumMercury 2nonevsGLM 4.7 FlashmediumQwen3.6 35B A3BnonevsGLM 4.7 FlashmediumMiMo-V2-FlashnonevsGLM 4.7 FlashmediumTrinity Large PreviewnonevsGLM 4.7 FlashmediumGPT-5.4 NanononevsGLM 4.7 FlashmediumGranite 4.1 8BnonevsGLM 4.7 FlashmediumGPT-4o-mininonevsGLM 4.7 FlashmediumGPT-5.4 MininonevsGLM 4.7 FlashmediumMiMo-V2.5nonevsGLM 4.7 FlashmediumMistral Small 4nonevsGLM 4.7 FlashmediumNemotron 3 SupernoneTersedia gratisvsGLM 4.7 Flashmedium