- Peringkat
- #305
- Total token output
- 630,543
- Waktu respons (rata-rata)
- 113.63s
- Total Biaya
- $0.147
Laguna S 2.1 (high) vs GLM 4.7 Flash
Laguna S 2.1 (high) unggul dalam skor rata-rata dengan 4.9 vs 4.8. GLM 4.7 Flash memiliki biaya benchmark lebih rendah di $0.027 vs $0.147. GLM 4.7 Flash lebih cepat di 13.04s vs 113.63s, dengan tingkat keberhasilan 27.5% vs 29.0%.
Model yang Dibandingkan
- Peringkat
- #313
- Total token output
- 27,395
- Waktu respons (rata-rata)
- 13.04s
- Total Biaya
- $0.027
Model yang direkomendasikan
GLM 4.7 Flash
Its score stays close to the best score here (4.8 vs 4.9), while costing about 5.5x less than Laguna S 2.1 (high).
Perbandingan terperinci
| Metrik | Laguna S 2.1 Laguna S 2.1 high Tersedia gratis | GLM 4.7 Flash GLM 4.7 Flash none |
|---|---|---|
| Skor | 4.9 | 4.8 |
| Peringkat | #305 | #313 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 7.8 | 8.9 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 27.5% | 29.0% |
| Tes tidak stabil | 6 | 3 |
| Total Run | 69 | 69 |
| Biaya per hasil | 3.664 | 0.528 |
| Total Biaya | $0.147 | $0.027 |
| Harga input | $0.090 / 1M | $0.061 / 1M |
| Harga output | $0.180 / 1M | $0.400 / 1M |
| Total token input | 344,806 | 255,363 |
| Token output | 177,330 | 27,395 |
| Token penalaran | 453,213 | 0 |
| Waktu respons (rata-rata) | 113.63s | 13.04s |
| Waktu respons (maks) | 1190.11s | 97.15s |
| Waktu respons (total) | 2613.48s | 221.61s |
| Parameter | 118B total (8B aktif) | 30B total (3B aktif) |
| Ketersediaan | Bobot tersedia | Sumber terbuka |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#305 Laguna S 2.1
high- Biaya
- $0.001
- Waktu
- 6.8s
- Token
- 1,389 tok
#313 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
| Tugas agen | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Laguna S 2.1 | 2.8 | 1.6 | 33.3% | 1 | 158.25s | 135,869 | 1,742 | 43,937 | |
| GLM 4.7 Flash | 5.0 | 10.0 | 0.0% | 0 | 80.73s | 153,850 | 4,403 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Laguna S 2.1 | 3.4 | 5.8 | 25.0% | 2 | 52.20s | 672 | 504 | 46,579 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Laguna S 2.1 | 5.3 | 7.2 | 44.4% | 1 | 271.42s | 6,496 | 59,355 | 151,009 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Laguna S 2.1 | 2.9 | 6.0 | 16.7% | 1 | 702.26s | 184,420 | 114,577 | 203,826 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Laguna S 2.1 | 10.0 | 10.0 | 100.0% | 0 | 1.96s | 7,689 | 243 | 1,705 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Laguna S 2.1 | 3.0 | 10.0 | 0.0% | 0 | 2.51s | 771 | 24 | 2,035 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Laguna S 2.1 | 4.6 | 9.8 | 0.0% | 0 | 855ms | 513 | 135 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Laguna S 2.1 | 4.6 | 10.0 | 0.0% | 0 | 453ms | 702 | 60 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Laguna S 2.1 | 2.9 | 7.2 | 11.1% | 1 | 1.62s | 699 | 370 | 1,130 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Laguna S 2.1 | 10.0 | 10.0 | 100.0% | 0 | 2.69s | 6,747 | 306 | 334 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Laguna S 2.1 | 3.0 | 10.0 | 0.0% | 0 | 6.94s | 228 | 14 | 2,658 | |
| GLM 4.7 Flash | 3.0 | 10.0 | 0.0% | 0 | 692ms | 186 | 9 | 0 |
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