- Peringkat
- #257
- Total token output
- 299,456
- Waktu respons (rata-rata)
- 13.08s
- Total Biaya
- $0.021
Ling 3.0 Flash (high) vs GLM 5
Ling 3.0 Flash (high) unggul dalam skor rata-rata dengan 5.8 vs 5.6. Ling 3.0 Flash (high) memiliki biaya benchmark lebih rendah di $0.021 vs $0.140. GLM 5 lebih cepat di 8.74s vs 13.08s, dengan tingkat keberhasilan 60.9% vs 40.6%.
Model yang Dibandingkan
- Peringkat
- #268
- Total token output
- 5,577
- Waktu respons (rata-rata)
- 8.74s
- Total Biaya
- $0.140
Model yang direkomendasikan
Ling 3.0 Flash (high)
It has the best score here (5.8), while costing about 6.9x less than GLM 5.
Perbandingan terperinci
| Metrik | Ling 3.0 Flash Ling 3.0 Flash high | GLM 5 GLM 5 none |
|---|---|---|
| Skor | 5.8 | 5.6 |
| Peringkat | #257 | #268 |
| Keandalan | 9.8 | 10.0 |
| Konsistensi | 8.6 | 9.3 |
| Percobaan | 69/69 | 66/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 60.9% | 40.6% |
| Tes tidak stabil | 4 | 1 |
| Total Run | 69 | 66 |
| Biaya per hasil | 0.000 | 1.363 |
| Total Biaya | $0.021 | $0.140 |
| Harga input | $0.021 / 1M | $0.600 / 1M |
| Harga output | $0.063 / 1M | $1.920 / 1M |
| Harga baca cache | $0.005 / 1M | $0.120 / 1M |
| Harga tulis cache | T/A | T/A |
| Total token input | 132,044 | 190,675 |
| Token output | 92,135 | 5,577 |
| Token penalaran | 207,321 | 0 |
| Waktu respons (rata-rata) | 13.08s | 8.74s |
| Waktu respons (maks) | 75.27s | 74.80s |
| Waktu respons (total) | 287.79s | 131.17s |
| Parameter | 124B total (5.1B aktif) | 744B total (40B aktif) |
| Ketersediaan | Sumber terbuka | 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.
#257 Ling 3.0 Flash
high- Biaya
- $0.000
- Waktu
- 30.7s
- Token
- 10,576 tok
#268 GLM 5
none- Biaya
- $0.007
- Waktu
- 32.1s
- Token
- 2,023 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 |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 3.0 | 10.0 | 0.0% | 0 | 42ms | 0 | 0 | 0 | |
| GLM 5 | 5.0 | 10.0 | 0.0% | 0 | 74.80s | 153,540 | 3,588 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 10.0 | 10.0 | 100.0% | 0 | 4.26s | 750 | 1,127 | 3,129 | |
| GLM 5 | 4.8 | 10.0 | 25.0% | 0 | 2.37s | 510 | 275 | 0 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 6.7 | 5.0 | 66.7% | 2 | 14.85s | 8,298 | 15,602 | 32,152 | |
| GLM 5 | 4.0 | 7.8 | 11.1% | 1 | 5.12s | 7,256 | 428 | 0 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 2.9 | 6.0 | 16.7% | 1 | 50.41s | 103,841 | 28,377 | 80,872 | |
| GLM 5 | 1.5 | 5.0 | 0.0% | 0 | 4.98s | 12,812 | 406 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 7.3 | 5.8 | 83.3% | 1 | 7.15s | 8,016 | 3,455 | 9,048 | |
| GLM 5 | 10.0 | 10.0 | 100.0% | 0 | 5.78s | 7,107 | 203 | 0 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 3.0 | 10.0 | 0.0% | 0 | 30.29s | 648 | 37,633 | 61,104 | |
| GLM 5 | 3.0 | 10.0 | 0.0% | 0 | 2.24s | 643 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 5.0 | 10.0 | 0.0% | 0 | 2.98s | 546 | 63 | 344 | |
| GLM 5 | 10.0 | 10.0 | 100.0% | 0 | 3.27s | 477 | 103 | 0 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 10.0 | 10.0 | 100.0% | 0 | 1.85s | 744 | 402 | 2,031 | |
| GLM 5 | 10.0 | 10.0 | 100.0% | 0 | 1.48s | 636 | 61 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 10.0 | 10.0 | 100.0% | 0 | 4.33s | 747 | 753 | 4,623 | |
| GLM 5 | 7.7 | 10.0 | 66.7% | 0 | 1.91s | 609 | 261 | 0 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 10.0 | 10.0 | 100.0% | 0 | 6.47s | 8,226 | 322 | 527 | |
| GLM 5 | 10.0 | 10.0 | 100.0% | 0 | 11.07s | 6,899 | 220 | 0 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 3.0 | 10.0 | 0.0% | 0 | 24.35s | 228 | 4,401 | 13,491 | |
| GLM 5 | 3.0 | 10.0 | 0.0% | 0 | 3.62s | 186 | 13 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
DeepSeek V4.1 FlashnonevsLing 3.0 FlashhighLing 3.0 FlashhighvsGPT-5.6 TerranoneLing 3.0 FlashhighvsGPT-5 NanomediumLing 3.0 FlashhighvsGPT-5.4 MininoneNemotron 3 SupermediumTersedia gratisvsGLM 5noneSeed 2.1 TurbononevsLing 3.0 FlashhighDots 3 Note PreviewmediumTersedia gratisvsLing 3.0 FlashhighSpace Bunny AlphalowvsGLM 5noneLing 3.0 FlashhighvsQwen3.7 FlashnoneGemma 4 31BnoneTersedia gratisvsLing 3.0 FlashhighLing 3.0 FlashhighvsNemotron 3 UltranoneTersedia gratisLing 3.0 FlashhighvsSpace Bunny Alphalow