- Peringkat
- #300
- Total token output
- 3,627
- Waktu respons (rata-rata)
- 4.16s
- Total Biaya
- $0.024
GPT-4o-mini vs Laguna S 2.1 (high)
GPT-4o-mini unggul dalam skor rata-rata dengan 5.0 vs 4.9. GPT-4o-mini memiliki biaya benchmark lebih rendah di $0.024 vs $0.147. GPT-4o-mini lebih cepat di 4.16s vs 113.63s, dengan tingkat keberhasilan 21.7% vs 27.5%.
Model yang Dibandingkan
- Peringkat
- #305
- Total token output
- 630,543
- Waktu respons (rata-rata)
- 113.63s
- Total Biaya
- $0.147
Model yang direkomendasikan
GPT-4o-mini
It has the best score here (5.0), while costing about 6.1x less than Laguna S 2.1 (high).
Perbandingan terperinci
| Metrik | GPT-4o-mini GPT-4o-mini none | Laguna S 2.1 Laguna S 2.1 high Tersedia gratis |
|---|---|---|
| Skor | 5.0 | 4.9 |
| Peringkat | #300 | #305 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 9.9 | 7.8 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 21.7% | 27.5% |
| Tes tidak stabil | 0 | 6 |
| Total Run | 69 | 69 |
| Biaya per hasil | 0.480 | 3.664 |
| Total Biaya | $0.024 | $0.147 |
| Harga input | $0.150 / 1M | $0.090 / 1M |
| Harga output | $0.600 / 1M | $0.180 / 1M |
| Total token input | 145,180 | 344,806 |
| Token output | 3,627 | 177,330 |
| Token penalaran | 0 | 453,213 |
| Waktu respons (rata-rata) | 4.16s | 113.63s |
| Waktu respons (maks) | 39.99s | 1190.11s |
| Waktu respons (total) | 70.70s | 2613.48s |
| Parameter | ~8B | 118B total (8B aktif) |
| Ketersediaan | Tertutup | Bobot tersedia |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#300 GPT-4o-mini
none- Biaya
- $0.001
- Waktu
- 6.6s
- Token
- 742 tok
#305 Laguna S 2.1
high- Biaya
- $0.001
- Waktu
- 6.8s
- Token
- 1,389 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 |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 5.0 | 10.0 | 0.0% | 0 | 39.99s | 92,035 | 714 | 0 | |
| Laguna S 2.1 | 2.8 | 1.6 | 33.3% | 1 | 158.25s | 135,869 | 1,742 | 43,937 |
| Trik anti-AI | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 4.8 | 10.0 | 25.0% | 0 | 1.34s | 618 | 186 | 0 | |
| Laguna S 2.1 | 3.4 | 5.8 | 25.0% | 2 | 52.20s | 672 | 504 | 46,579 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 3.2 | 9.6 | 0.0% | 0 | 1.63s | 7,314 | 367 | 0 | |
| Laguna S 2.1 | 5.3 | 7.2 | 44.4% | 1 | 271.42s | 6,496 | 59,355 | 151,009 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 3.0 | 10.0 | 0.0% | 0 | 6.32s | 29,916 | 1,497 | 0 | |
| Laguna S 2.1 | 2.9 | 6.0 | 16.7% | 1 | 702.26s | 184,420 | 114,577 | 203,826 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 10.0 | 10.0 | 100.0% | 0 | 1.27s | 7,161 | 183 | 0 | |
| Laguna S 2.1 | 10.0 | 10.0 | 100.0% | 0 | 1.96s | 7,689 | 243 | 1,705 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 3.0 | 10.0 | 0.0% | 0 | 743ms | 741 | 17 | 0 | |
| Laguna S 2.1 | 3.0 | 10.0 | 0.0% | 0 | 2.51s | 771 | 24 | 2,035 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 4.0 | 10.0 | 0.0% | 0 | 909ms | 480 | 66 | 0 | |
| Laguna S 2.1 | 4.6 | 9.8 | 0.0% | 0 | 855ms | 513 | 135 | 0 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 6.3 | 10.0 | 50.0% | 0 | 1.11s | 666 | 69 | 0 | |
| Laguna S 2.1 | 4.6 | 10.0 | 0.0% | 0 | 453ms | 702 | 60 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 3.5 | 10.0 | 0.0% | 0 | 1.21s | 651 | 308 | 0 | |
| Laguna S 2.1 | 2.9 | 7.2 | 11.1% | 1 | 1.62s | 699 | 370 | 1,130 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 10.0 | 10.0 | 100.0% | 0 | 2.51s | 5,400 | 205 | 0 | |
| Laguna S 2.1 | 10.0 | 10.0 | 100.0% | 0 | 2.69s | 6,747 | 306 | 334 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 3.0 | 10.0 | 0.0% | 0 | 794ms | 198 | 15 | 0 | |
| Laguna S 2.1 | 3.0 | 10.0 | 0.0% | 0 | 6.94s | 228 | 14 | 2,658 |
Perbandingan Cepat
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