- Peringkat
- #273
- Total token output
- 1,818,271
- Waktu respons (rata-rata)
- 140.39s
- Total Biaya
- $0.000
North Mini Code (medium) vs Laguna XS 2.1
North Mini Code (medium) unggul dalam skor rata-rata dengan 5.4 vs 5.3. North Mini Code (medium) memiliki biaya benchmark lebih rendah di $0.000 vs $0.019. Laguna XS 2.1 lebih cepat di 4.56s vs 140.39s, dengan tingkat keberhasilan 42.0% vs 29.0%.
Model yang Dibandingkan
- Peringkat
- #283
- Total token output
- 23,173
- Waktu respons (rata-rata)
- 4.56s
- Total Biaya
- $0.019
Model yang direkomendasikan
Laguna XS 2.1
Its score stays close to the best score here (5.3 vs 5.4), while responding about 30.8x faster than North Mini Code (medium).
Perbandingan terperinci
| Metrik | North Mini Code North Mini Code medium Tersedia gratis | Laguna XS 2.1 Laguna XS 2.1 none Tersedia gratis |
|---|---|---|
| Skor | 5.4 | 5.3 |
| Peringkat | #273 | #283 |
| Keandalan | 8.9 | 10.0 |
| Konsistensi | 8.6 | 9.1 |
| Percobaan | 61/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 42.0% | 29.0% |
| Tes tidak stabil | 4 | 3 |
| Total Run | 61 | 69 |
| Biaya per hasil | 0.000 | 0.380 |
| Total Biaya | $0.000 | $0.019 |
| Harga input | $0.000 / 1M | $0.060 / 1M |
| Harga output | $0.000 / 1M | $0.120 / 1M |
| Total token input | 166,347 | 270,072 |
| Token output | 423,884 | 23,173 |
| Token penalaran | 1,394,387 | 0 |
| Waktu respons (rata-rata) | 140.39s | 4.56s |
| Waktu respons (maks) | 786.72s | 70.79s |
| Waktu respons (total) | 3229.07s | 104.80s |
| Parameter | 30B total (3B aktif) | 33B total (3B aktif) |
| Ketersediaan | Sumber terbuka | Bobot tersedia |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#273 North Mini Code
medium- Biaya
- $0.000
- Waktu
- 51.8s
- Token
- 12,460 tok
#283 Laguna XS 2.1
none- Biaya
- $0.001
- Waktu
- 27.6s
- Token
- 4,344 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 |
|---|---|---|---|---|---|---|---|---|---|
| North Mini Code | 3.9 | 9.6 | 0.0% | 0 | 105.20s | 84,605 | 0 | 53,480 | |
| Laguna XS 2.1 | 5.0 | 10.0 | 0.0% | 0 | 70.79s | 178,465 | 9,796 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| North Mini Code | 8.4 | 10.0 | 75.0% | 0 | 64.79s | 324 | 64,441 | 68,535 | |
| Laguna XS 2.1 | 5.3 | 8.3 | 33.3% | 1 | 755ms | 774 | 1,015 | 0 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| North Mini Code | 4.5 | 4.9 | 33.3% | 2 | 320.43s | 7,119 | 219,891 | 561,569 | |
| Laguna XS 2.1 | 4.3 | 7.8 | 22.2% | 1 | 623ms | 7,995 | 562 | 0 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| North Mini Code | 2.9 | 5.8 | 16.7% | 1 | 554.89s | 63,682 | 0 | 472,040 | |
| Laguna XS 2.1 | 3.0 | 10.0 | 0.0% | 0 | 10.39s | 64,647 | 10,328 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| North Mini Code | 10.0 | 10.0 | 100.0% | 0 | 24.06s | 6,819 | 240 | 2,659 | |
| Laguna XS 2.1 | 10.0 | 10.0 | 100.0% | 0 | 768ms | 7,734 | 240 | 0 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| North Mini Code | 2.9 | 7.2 | 11.1% | 1 | 107.19s | 550 | 7,595 | 102,957 | |
| Laguna XS 2.1 | 5.3 | 10.0 | 33.3% | 0 | 303ms | 843 | 14 | 0 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| North Mini Code | 5.1 | 10.0 | 0.0% | 0 | 25.08s | 444 | 1,546 | 1,635 | |
| Laguna XS 2.1 | 5.0 | 10.0 | 0.0% | 0 | 529ms | 537 | 128 | 0 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| North Mini Code | 9.8 | 10.0 | 100.0% | 0 | 15.43s | 379 | 909 | 1,339 | |
| Laguna XS 2.1 | 3.8 | 5.8 | 33.3% | 1 | 364ms | 638 | 50 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| North Mini Code | 3.3 | 10.0 | 0.0% | 0 | 19.70s | 543 | 2,215 | 2,485 | |
| Laguna XS 2.1 | 3.0 | 10.0 | 0.0% | 0 | 1.01s | 771 | 730 | 0 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| North Mini Code | 10.0 | 10.0 | 100.0% | 0 | 3.93s | 1,776 | 41 | 563 | |
| Laguna XS 2.1 | 10.0 | 10.0 | 100.0% | 0 | 1.36s | 7,413 | 300 | 0 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| North Mini Code | 3.0 | 10.0 | 0.0% | 0 | 305.02s | 106 | 127,006 | 127,125 | |
| Laguna XS 2.1 | 3.0 | 10.0 | 0.0% | 0 | 254ms | 255 | 10 | 0 |
Perbandingan Cepat
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