- Peringkat
- #352
- Total token output
- 950,683
- Waktu respons (rata-rata)
- 75.68s
- Total Biaya
- $0.000
Ling 3.0 Tiny (high) vs Kev 4B
Ling 3.0 Tiny (high) unggul dalam skor rata-rata dengan 3.8 vs 3.0. Ling 3.0 Tiny (high) memiliki biaya benchmark lebih rendah di $0.000 vs $0.002. Kev 4B lebih cepat di 5.63s vs 75.68s, dengan tingkat keberhasilan 24.2% vs 16.7%.
Model yang Dibandingkan
- Peringkat
- #366
- Total token output
- 28,061
- Waktu respons (rata-rata)
- 5.63s
- Total Biaya
- $0.002
Model yang direkomendasikan
Ling 3.0 Tiny (high)
It has the strongest score in this comparison (3.8) and the best overall balance of cost and response time across all 2 models.
Perbandingan terperinci
| Metrik | Ling 3.0 Tiny Ling 3.0 Tiny high | Kev 4B Kev 4B none |
|---|---|---|
| Skor | 3.8 | 3.0 |
| Peringkat | #352 | #366 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 8.8 | 5.1 |
| Percobaan | 66/66 | 36/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 24.2% | 16.7% |
| Tes tidak stabil | 3 | 1 |
| Total Run | 66 | 36 |
| Biaya per hasil | 0.000 | 0.060 |
| Total Biaya | $0.000 | $0.002 |
| Harga input | $0.000 / 1M | $0.042 / 1M |
| Harga output | $0.000 / 1M | $0.000 / 1M |
| Total token input | 115,314 | 42,804 |
| Token output | 133,965 | 28,061 |
| Token penalaran | 816,718 | 0 |
| Waktu respons (rata-rata) | 75.68s | 5.63s |
| Waktu respons (maks) | 345.15s | 17.79s |
| Waktu respons (total) | 1589.20s | 67.61s |
| Parameter | 7.9B total (1.3B aktif) | 4B |
| Ketersediaan | Sumber terbuka | Sumber terbuka |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#352 Ling 3.0 Tiny
high
No output was saved. The original provider response or failure reason is unavailable.
- Biaya
- $0.000
- Waktu
- 169.5s
- Token
- 5,252 tok
#366 Jared Palmer: Kev 4B
none
Belum ada hasil showcase yang dihasilkan untuk model ini.
- Biaya
- T/A
- Waktu
- -
- 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
| 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 Tiny | 6.4 | 7.9 | 58.3% | 1 | 24.93s | 750 | 5,102 | 94,893 | |
| Kev 4B | 2.3 | 7.5 | 0.0% | 0 | 3.65s | 5,364 | 7,514 | 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 Tiny | 2.9 | 10.0 | 0.0% | 0 | 177.65s | 7,767 | 59,320 | 177,922 | |
| Kev 4B | 4.5 | 6.7 | 33.3% | 0 | 771ms | 21,603 | 12,207 | 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 Tiny | 3.0 | 10.0 | 0.0% | 0 | 179.85s | 87,658 | 19,652 | 152,168 | |
| Kev 4B | 0.0 | 0.0 | 0.0% | 0 | 0ms | 0 | 0 | 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 Tiny | 2.8 | 10.0 | 0.0% | 0 | 4.16s | 8,016 | 1,561 | 5,372 | |
| Kev 4B | 6.5 | 10.0 | 50.0% | 0 | 9.09s | 11,010 | 3,573 | 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 Tiny | 2.9 | 7.2 | 11.1% | 1 | 70.12s | 648 | 22,445 | 155,528 | |
| Kev 4B | 5.3 | 10.0 | 33.3% | 0 | 6.34s | 2,178 | 1,905 | 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 Tiny | 5.4 | 2.5 | 66.7% | 1 | 60.50s | 546 | 4,900 | 61,589 | |
| Kev 4B | 0.0 | 0.0 | 0.0% | 0 | 0ms | 0 | 0 | 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 Tiny | 6.8 | 9.4 | 50.0% | 0 | 3.10s | 744 | 618 | 1,444 | |
| Kev 4B | 1.5 | 5.0 | 0.0% | 0 | 17.27s | 2,316 | 2,688 | 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 Tiny | 3.0 | 10.0 | 0.0% | 0 | 54.15s | 731 | 10,323 | 78,452 | |
| Kev 4B | 2.0 | 10.0 | 22.2% | 1 | 646ms | 333 | 174 | 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 Tiny | 10.0 | 10.0 | 100.0% | 0 | 5.76s | 8,226 | 379 | 711 | |
| Kev 4B | 0.0 | 0.0 | 0.0% | 0 | 0ms | 0 | 0 | 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 Tiny | 3.0 | 10.0 | 0.0% | 0 | 213.35s | 228 | 9,665 | 88,639 | |
| Kev 4B | 0.0 | 0.0 | 0.0% | 0 | 0ms | 0 | 0 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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