- Peringkat
- #304
- Total token output
- 3,627
- Waktu respons (rata-rata)
- 4.16s
- Total Biaya
- $0.024
GPT-4o-mini vs Laguna XS 2.1
Laguna XS 2.1 unggul dalam skor rata-rata dengan 5.3 vs 5.0. Laguna XS 2.1 memiliki biaya benchmark lebih rendah di $0.020 vs $0.024. GPT-4o-mini lebih cepat di 4.16s vs 4.56s, dengan tingkat keberhasilan 21.7% vs 29.0%.
Model yang Dibandingkan
- Peringkat
- #286
- Total token output
- 23,173
- Waktu respons (rata-rata)
- 4.56s
- Total Biaya
- $0.020
Model yang direkomendasikan
Laguna XS 2.1
It has the strongest score in this comparison (5.3) and the best overall balance of cost and response time across all 2 models.
Perbandingan terperinci
| Metrik | GPT-4o-mini GPT-4o-mini none | Laguna XS 2.1 Laguna XS 2.1 none Tersedia gratis |
|---|---|---|
| Skor | 5.0 | 5.3 |
| Peringkat | #304 | #286 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 9.9 | 9.1 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 21.7% | 29.0% |
| Tes tidak stabil | 0 | 3 |
| Total Run | 69 | 69 |
| Biaya per hasil | 0.480 | 0.380 |
| Total Biaya | $0.024 | $0.020 |
| Harga input | $0.150 / 1M | $0.060 / 1M |
| Harga output | $0.600 / 1M | $0.120 / 1M |
| Harga baca cache | $0.075 / 1M | $0.030 / 1M |
| Harga tulis cache | T/A | T/A |
| Total token input | 145,180 | 270,072 |
| Token output | 3,627 | 23,173 |
| Token penalaran | 0 | 0 |
| Waktu respons (rata-rata) | 4.16s | 4.56s |
| Waktu respons (maks) | 39.99s | 70.79s |
| Waktu respons (total) | 70.70s | 104.80s |
| Parameter | ~8B | 33B total (3B aktif) |
| Ketersediaan | Tertutup | Bobot tersedia |
Harga cache berlaku untuk token input. Pembacaan memakai kembali prompt tersimpan; penulisan menyimpannya dan dapat menambah biaya. Token output menggunakan harga output.
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#304 GPT-4o-mini
none- Biaya
- $0.001
- Waktu
- 6.6s
- Token
- 742 tok
#286 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 |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 5.0 | 10.0 | 0.0% | 0 | 39.99s | 92,035 | 714 | 0 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 4.8 | 10.0 | 25.0% | 0 | 1.34s | 618 | 186 | 0 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 3.2 | 9.6 | 0.0% | 0 | 1.63s | 7,314 | 367 | 0 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 3.0 | 10.0 | 0.0% | 0 | 6.32s | 29,916 | 1,497 | 0 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 10.0 | 10.0 | 100.0% | 0 | 1.27s | 7,161 | 183 | 0 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 3.0 | 10.0 | 0.0% | 0 | 743ms | 741 | 17 | 0 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 4.0 | 10.0 | 0.0% | 0 | 909ms | 480 | 66 | 0 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 6.3 | 10.0 | 50.0% | 0 | 1.11s | 666 | 69 | 0 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 3.5 | 10.0 | 0.0% | 0 | 1.21s | 651 | 308 | 0 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 10.0 | 10.0 | 100.0% | 0 | 2.51s | 5,400 | 205 | 0 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| GPT-4o-mini | 3.0 | 10.0 | 0.0% | 0 | 794ms | 198 | 15 | 0 | |
| Laguna XS 2.1 | 3.0 | 10.0 | 0.0% | 0 | 254ms | 255 | 10 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
KAT Coder AIR V2.5lowvsGPT-4o-mininoneMiniMax M2.7mediumvsGPT-4o-mininoneGranite 4.2 8BlowvsLaguna XS 2.1noneTersedia gratisLaguna XS 2.1noneTersedia gratisvsInkling SmalllowTersedia gratisMercury 2.5 PreviewlowvsGPT-4o-mininoneGPT-4o-mininonevsLaguna S 2.1highTersedia gratisGPT-4o-mininonevsLaguna S 2.1mediumTersedia gratisNemotron 3.5 LightninghighTersedia gratisvsLaguna XS 2.1noneTersedia gratisLaguna XS 2.1noneTersedia gratisvsStep 3.5 FlashmediumKAT Coder AIR V2.5highvsLaguna XS 2.1noneTersedia gratisLaguna XS 2.1noneTersedia gratisvsHy4 previewlowNorth Mini CodemediumTersedia gratisvsLaguna XS 2.1noneTersedia gratis