- Peringkat
- #197
- Total token output
- 299,456
- Waktu respons (rata-rata)
- 13.70s
- Total Biaya
- $0.021
Ling-3.0-flash (high) vs GLM 5.3 FlashX (low)
Ling-3.0-flash (high) unggul dalam skor rata-rata dengan 6.4 vs 6.3. Ling-3.0-flash (high) memiliki biaya benchmark lebih rendah di $0.021 vs $0.090. GLM 5.3 FlashX (low) lebih cepat di 6.58s vs 13.70s, dengan tingkat keberhasilan 63.6% vs 65.2%.
Model yang Dibandingkan
- Peringkat
- #201
- Total token output
- 37,036
- Waktu respons (rata-rata)
- 6.58s
- Total Biaya
- $0.090
Model yang direkomendasikan
Ling-3.0-flash (high)
It has the best score here (6.4), while costing about 4.5x less than GLM 5.3 FlashX (low).
Perbandingan terperinci
| Metrik | Ling-3.0-flash Ling-3.0-flash high | GLM 5.3 FlashX GLM 5.3 FlashX low |
|---|---|---|
| Skor | 6.4 | 6.3 |
| Peringkat | #197 | #201 |
| Keandalan | 9.8 | 10.0 |
| Konsistensi | 8.6 | 7.0 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 63.6% | 65.2% |
| Tes tidak stabil | 4 | 8 |
| Total Run | 66 | 66 |
| Biaya per hasil | 0.000 | 0.816 |
| Total Biaya | $0.021 | $0.090 |
| Harga input | $0.021 / 1M | $0.370 / 1M |
| Harga output | $0.063 / 1M | $1.250 / 1M |
| Total token input | 132,044 | 117,325 |
| Token output | 92,135 | 10,494 |
| Token penalaran | 207,321 | 26,542 |
| Waktu respons (rata-rata) | 13.70s | 6.58s |
| Waktu respons (maks) | 75.27s | 73.01s |
| Waktu respons (total) | 287.75s | 144.85s |
| Parameter | 124B total (5.1B aktif) | 320B total (18B aktif) |
| Ketersediaan | Sumber terbuka | Tertutup |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#197 Ling-3.0-flash
high- Biaya
- $0.000
- Waktu
- 30.7s
- Token
- 10,576 tok
#201 GLM 5.3 FlashX
low- Biaya
- $0.002
- Waktu
- 8.4s
- Token
- 1,526 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 |
|---|---|---|---|---|---|---|---|---|---|
| Ling-3.0-flash | 10.0 | 10.0 | 100.0% | 0 | 4.26s | 750 | 1,127 | 3,129 | |
| GLM 5.3 FlashX | 8.2 | 7.9 | 83.3% | 1 | 1.56s | 639 | 278 | 353 |
| 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 5.3 FlashX | 5.5 | 7.4 | 44.4% | 1 | 5.45s | 7,317 | 382 | 4,760 |
| 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 5.3 FlashX | 2.8 | 1.6 | 33.3% | 2 | 42.40s | 92,545 | 8,581 | 18,553 |
| 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 5.3 FlashX | 10.0 | 10.0 | 100.0% | 0 | 1.59s | 7,149 | 210 | 81 |
| 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 FlashX | 3.5 | 4.4 | 33.3% | 2 | 3.87s | 759 | 36 | 2,040 |
| 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 5.3 FlashX | 4.7 | 1.6 | 66.7% | 1 | 2.07s | 498 | 137 | 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 5.3 FlashX | 10.0 | 10.0 | 100.0% | 0 | 1.34s | 678 | 72 | 84 |
| 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 5.3 FlashX | 7.7 | 7.3 | 77.8% | 1 | 1.89s | 672 | 460 | 336 |
| 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 5.3 FlashX | 10.0 | 10.0 | 100.0% | 0 | 9.52s | 6,861 | 231 | 20 |
| 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 FlashX | 3.0 | 10.0 | 0.0% | 0 | 2.69s | 207 | 107 | 315 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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