- Peringkat
- #200
- Total token output
- 538,292
- Waktu respons (rata-rata)
- 48.97s
- Total Biaya
- $0.083
Laguna XS 2.1 (medium) vs GLM 5.3 (low)
Skor rata-rata hampir imbang di 6.4 vs 6.5. Laguna XS 2.1 (medium) memiliki biaya benchmark lebih rendah di $0.083 vs $0.473. GLM 5.3 (low) lebih cepat di 15.28s vs 48.97s, dengan tingkat keberhasilan 46.4% vs 63.8%.
Model yang Dibandingkan
- Peringkat
- #195
- Total token output
- 28,602
- Waktu respons (rata-rata)
- 15.28s
- Total Biaya
- $0.473
Model yang direkomendasikan
Laguna XS 2.1 (medium)
It has the best score here (6.4), while costing about 5.7x less than GLM 5.3 (low).
Perbandingan terperinci
| Metrik | Laguna XS 2.1 Laguna XS 2.1 medium Tersedia gratis | GLM 5.3 GLM 5.3 low |
|---|---|---|
| Skor | 6.4 | 6.5 |
| Peringkat | #200 | #195 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 9.0 | 8.3 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 46.4% | 63.8% |
| Tes tidak stabil | 3 | 5 |
| Total Run | 69 | 69 |
| Biaya per hasil | 0.922 | 3.936 |
| Total Biaya | $0.083 | $0.473 |
| Harga input | $0.060 / 1M | $1.400 / 1M |
| Harga output | $0.120 / 1M | $4.400 / 1M |
| Total token input | 352,516 | 247,436 |
| Token output | 33,786 | 11,005 |
| Token penalaran | 504,506 | 17,597 |
| Waktu respons (rata-rata) | 48.97s | 15.28s |
| Waktu respons (maks) | 422.72s | 83.60s |
| Waktu respons (total) | 1126.35s | 351.49s |
| Parameter | 33B total (3B aktif) | 744B total (40B aktif) |
| Ketersediaan | Bobot tersedia | Tertutup |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#200 Laguna XS 2.1
medium- Biaya
- $0.001
- Waktu
- 30.6s
- Token
- 4,678 tok
#195 GLM 5.3
low- Biaya
- $0.007
- Waktu
- 28.4s
- Token
- 1,599 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 |
|---|---|---|---|---|---|---|---|---|---|
| Laguna XS 2.1 | 6.1 | 3.1 | 66.7% | 1 | 66.42s | 233,518 | 3,036 | 12,776 | |
| GLM 5.3 | 5.2 | 3.2 | 33.3% | 1 | 51.27s | 142,447 | 2,473 | 1,321 |
| Trik anti-AI | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Laguna XS 2.1 | 4.8 | 10.0 | 25.0% | 0 | 41.96s | 774 | 353 | 73,090 | |
| GLM 5.3 | 6.9 | 7.9 | 66.7% | 1 | 4.16s | 639 | 266 | 249 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Laguna XS 2.1 | 5.5 | 10.0 | 33.3% | 0 | 70.35s | 7,995 | 23,767 | 83,258 | |
| GLM 5.3 | 6.2 | 6.9 | 55.6% | 1 | 21.02s | 7,317 | 368 | 6,764 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Laguna XS 2.1 | 6.3 | 10.0 | 50.0% | 0 | 218.07s | 91,698 | 5,496 | 229,064 | |
| GLM 5.3 | 3.8 | 5.8 | 33.3% | 1 | 53.02s | 80,209 | 6,729 | 5,209 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Laguna XS 2.1 | 10.0 | 10.0 | 100.0% | 0 | 4.50s | 7,734 | 234 | 3,129 | |
| GLM 5.3 | 10.0 | 10.0 | 100.0% | 0 | 3.42s | 7,149 | 210 | 56 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Laguna XS 2.1 | 3.5 | 4.4 | 33.3% | 2 | 67.48s | 843 | 17 | 91,430 | |
| GLM 5.3 | 5.3 | 10.0 | 33.3% | 0 | 19.23s | 759 | 35 | 3,384 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Laguna XS 2.1 | 5.0 | 10.0 | 0.0% | 0 | 4.15s | 537 | 119 | 1,375 | |
| GLM 5.3 | 4.1 | 2.7 | 33.3% | 1 | 4.70s | 498 | 163 | 0 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Laguna XS 2.1 | 9.8 | 10.0 | 100.0% | 0 | 2.57s | 753 | 82 | 1,844 | |
| GLM 5.3 | 10.0 | 10.0 | 100.0% | 0 | 3.40s | 678 | 72 | 81 |
| Pemecahan teka-teki | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Laguna XS 2.1 | 5.3 | 10.0 | 33.3% | 0 | 3.43s | 771 | 357 | 3,355 | |
| GLM 5.3 | 10.0 | 10.0 | 100.0% | 0 | 4.20s | 672 | 389 | 225 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Laguna XS 2.1 | 10.0 | 10.0 | 100.0% | 0 | 3.01s | 7,638 | 309 | 748 | |
| GLM 5.3 | 10.0 | 10.0 | 100.0% | 0 | 18.45s | 6,861 | 231 | 0 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Laguna XS 2.1 | 3.0 | 10.0 | 0.0% | 0 | 10.88s | 255 | 16 | 4,437 | |
| GLM 5.3 | 3.0 | 10.0 | 0.0% | 0 | 7.42s | 207 | 69 | 308 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
Mercury 2.5highvsGLM 5.3lowLaguna XS 2.1mediumTersedia gratisvsQwen3.5-122B-A10BnoneKAT-Coder-Pro V2.5highvsLaguna XS 2.1mediumTersedia gratisLaguna XS 2.1mediumTersedia gratisvsGLM 5.2noneGemini 3 Flash PreviewnonevsLaguna XS 2.1mediumTersedia gratisLaguna XS 2.1mediumTersedia gratisvsGLM 5.1noneMercury 2.5 PreviewhighvsGLM 5.3lowLaguna XS 2.1mediumTersedia gratisvsQwen3.5 Plus 2026-02-15noneKAT-Coder-Pro V2.5highvsGLM 5.3lowGrok 4.3mediumvsGLM 5.3lowQwen3.6 35B A3BmediumvsGLM 5.3lowMercury 2.5highvsLaguna XS 2.1mediumTersedia gratis