- Peringkat
- #289
- Total token output
- 12,777
- Waktu respons (rata-rata)
- 3.40s
- Total Biaya
- $0.004
Ling 3.0 Flash vs GPT-4o-mini
Ling 3.0 Flash unggul dalam skor rata-rata dengan 5.2 vs 5.0. Ling 3.0 Flash memiliki biaya benchmark lebih rendah di $0.004 vs $0.024. Ling 3.0 Flash lebih cepat di 3.40s vs 4.16s, dengan tingkat keberhasilan 26.1% vs 21.7%.
Model yang Dibandingkan
- Peringkat
- #304
- Total token output
- 3,627
- Waktu respons (rata-rata)
- 4.16s
- Total Biaya
- $0.024
Model yang direkomendasikan
Ling 3.0 Flash
It has the best score here (5.2), while costing about 7.0x less than GPT-4o-mini.
Perbandingan terperinci
| Metrik | Ling 3.0 Flash Ling 3.0 Flash none | GPT-4o-mini GPT-4o-mini none |
|---|---|---|
| Skor | 5.2 | 5.0 |
| Peringkat | #289 | #304 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 10.0 | 9.9 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 26.1% | 21.7% |
| Tes tidak stabil | 0 | 0 |
| Total Run | 69 | 69 |
| Biaya per hasil | 0.000 | 0.480 |
| Total Biaya | $0.004 | $0.024 |
| Harga input | $0.021 / 1M | $0.150 / 1M |
| Harga output | $0.063 / 1M | $0.600 / 1M |
| Harga baca cache | $0.005 / 1M | $0.075 / 1M |
| Harga tulis cache | T/A | T/A |
| Total token input | 123,993 | 145,180 |
| Token output | 12,777 | 3,627 |
| Token penalaran | 0 | 0 |
| Waktu respons (rata-rata) | 3.40s | 4.16s |
| Waktu respons (maks) | 17.51s | 39.99s |
| Waktu respons (total) | 74.77s | 70.70s |
| Parameter | 124B total (5.1B aktif) | ~8B |
| Ketersediaan | Sumber terbuka | Tertutup |
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.
#289 Ling 3.0 Flash
none- Biaya
- $0.000
- Waktu
- 11.6s
- Token
- 2,781 tok
#304 GPT-4o-mini
none- Biaya
- $0.001
- Waktu
- 6.6s
- Token
- 742 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 |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 3.0 | 10.0 | 0.0% | 0 | 26ms | 0 | 0 | 0 | |
| GPT-4o-mini | 5.0 | 10.0 | 0.0% | 0 | 39.99s | 92,035 | 714 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 4.8 | 10.0 | 25.0% | 0 | 3.34s | 762 | 139 | 0 | |
| GPT-4o-mini | 4.8 | 10.0 | 25.0% | 0 | 1.34s | 618 | 186 | 0 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 5.5 | 10.0 | 33.3% | 0 | 6.39s | 8,307 | 639 | 0 | |
| GPT-4o-mini | 3.2 | 9.6 | 0.0% | 0 | 1.63s | 7,314 | 367 | 0 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 3.0 | 10.0 | 0.0% | 0 | 8.58s | 95,727 | 11,102 | 0 | |
| GPT-4o-mini | 3.0 | 10.0 | 0.0% | 0 | 6.32s | 29,916 | 1,497 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 10.0 | 10.0 | 100.0% | 0 | 1.10s | 8,022 | 249 | 0 | |
| GPT-4o-mini | 10.0 | 10.0 | 100.0% | 0 | 1.27s | 7,161 | 183 | 0 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 3.0 | 10.0 | 0.0% | 0 | 840ms | 654 | 18 | 0 | |
| GPT-4o-mini | 3.0 | 10.0 | 0.0% | 0 | 743ms | 741 | 17 | 0 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 5.0 | 10.0 | 0.0% | 0 | 1.58s | 549 | 51 | 0 | |
| GPT-4o-mini | 4.0 | 10.0 | 0.0% | 0 | 909ms | 480 | 66 | 0 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 4.8 | 10.0 | 0.0% | 0 | 836ms | 750 | 71 | 0 | |
| GPT-4o-mini | 6.3 | 10.0 | 50.0% | 0 | 1.11s | 666 | 69 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 5.3 | 10.0 | 33.3% | 0 | 1.49s | 756 | 283 | 0 | |
| GPT-4o-mini | 3.5 | 10.0 | 0.0% | 0 | 1.21s | 651 | 308 | 0 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 10.0 | 10.0 | 100.0% | 0 | 2.85s | 8,235 | 216 | 0 | |
| GPT-4o-mini | 10.0 | 10.0 | 100.0% | 0 | 2.51s | 5,400 | 205 | 0 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 3.0 | 10.0 | 0.0% | 0 | 10.61s | 231 | 9 | 0 | |
| GPT-4o-mini | 3.0 | 10.0 | 0.0% | 0 | 794ms | 198 | 15 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
KAT Coder AIR V2.5lowvsGPT-4o-mininoneLing 3.0 FlashnonevsNemotron 3.5 LightninghighTersedia gratisMiniMax M2.7mediumvsGPT-4o-mininoneLing 3.0 FlashnonevsInkling SmalllowTersedia gratisLing 3.0 FlashnonevsKAT Coder AIR V2.5highMercury 2.5 PreviewlowvsGPT-4o-mininoneGPT-4o-mininonevsLaguna S 2.1highTersedia gratisLing 3.0 FlashnonevsMistral Small 4mediumGPT-4o-mininonevsLaguna S 2.1mediumTersedia gratisMercury 2.5lowvsLing 3.0 FlashnoneLing 3.0 FlashnonevsKAT Coder AIR V2.5mediumGranite 4.2 8BlowvsLing 3.0 Flashnone