- Peringkat
- #271
- Total token output
- 14,903
- Waktu respons (rata-rata)
- 10.71s
- Total Biaya
- $0.002
Ling-2.6-flash vs GPT-5.4 Nano
Ling-2.6-flash unggul dalam skor rata-rata dengan 4.9 vs 4.8. Ling-2.6-flash memiliki biaya benchmark lebih rendah di $0.002 vs $0.041. GPT-5.4 Nano lebih cepat di 2.56s vs 10.71s, dengan tingkat keberhasilan 30.3% vs 27.3%.
- Peringkat
- #276
- Total token output
- 13,794
- Waktu respons (rata-rata)
- 2.56s
- Total Biaya
- $0.041
Model yang direkomendasikan
GPT-5.4 Nano
Its score stays close to the best score here (4.8 vs 4.9), while responding about 4.2x faster than Ling-2.6-flash.
Perbandingan terperinci
| Metrik | Ling-2.6-flash Ling-2.6-flash none | GPT-5.4 Nano GPT-5.4 Nano none |
|---|---|---|
| Skor | 4.9 | 4.8 |
| Peringkat | #271 | #276 |
| Keandalan | 9.6 | 10.0 |
| Konsistensi | 9.3 | 8.6 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 30.3% | 27.3% |
| Tes tidak stabil | 2 | 4 |
| Total Run | 66 | 66 |
| Biaya per hasil | 0.024 | 1.011 |
| Total Biaya | $0.002 | $0.041 |
| Harga input | $0.010 / 1M | $0.200 / 1M |
| Harga output | $0.030 / 1M | $1.250 / 1M |
| Total token input | 114,384 | 115,933 |
| Token output | 14,903 | 13,794 |
| Token penalaran | 0 | 0 |
| Waktu respons (rata-rata) | 10.71s | 2.56s |
| Waktu respons (maks) | 36.03s | 25.50s |
| Waktu respons (total) | 214.28s | 56.37s |
| Parameter | 104B total (7.4B aktif) | ~120B total (~5B aktif) |
| Ketersediaan | Sumber terbuka | Tertutup |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#271 Ling-2.6-flash
none
Ling-2.6-flash is no longer available as a free model. It has transitioned to a paid model. Continue using it here: https://openrouter.ai/inclusionai/ling-2.6-flash
- Biaya
- $0.000
- Waktu
- 0.0s
- Token
- 0 tok
#276 GPT-5.4 Nano
none- Biaya
- $0.008
- Waktu
- 46.1s
- Token
- 5,735 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-2.6-flash | 6.8 | 8.1 | 58.3% | 1 | 11.81s | 726 | 573 | 0 | |
| GPT-5.4 Nano | 3.5 | 8.0 | 16.7% | 1 | 1.18s | 606 | 800 | 0 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Ling-2.6-flash | 5.3 | 10.0 | 33.3% | 0 | 11.21s | 813 | 381 | 0 | |
| GPT-5.4 Nano | 4.6 | 7.9 | 22.2% | 1 | 2.22s | 7,305 | 613 | 0 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Ling-2.6-flash | 3.0 | 10.0 | 0.0% | 0 | 35.69s | 94,475 | 13,094 | 0 | |
| GPT-5.4 Nano | 3.0 | 10.0 | 0.0% | 0 | 14.67s | 92,731 | 11,290 | 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-2.6-flash | 6.5 | 10.0 | 50.0% | 0 | 8.48s | 8,004 | 246 | 0 | |
| GPT-5.4 Nano | 6.5 | 10.0 | 50.0% | 0 | 1.11s | 7,140 | 219 | 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-2.6-flash | 3.0 | 10.0 | 0.0% | 0 | 5.20s | 819 | 24 | 0 | |
| GPT-5.4 Nano | 2.9 | 7.2 | 11.1% | 1 | 880ms | 732 | 52 | 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-2.6-flash | 4.0 | 10.0 | 0.0% | 0 | 1.45s | 540 | 109 | 0 | |
| GPT-5.4 Nano | 3.8 | 2.5 | 33.3% | 1 | 1.31s | 477 | 180 | 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-2.6-flash | 9.8 | 10.0 | 100.0% | 0 | 5.52s | 732 | 81 | 0 | |
| GPT-5.4 Nano | 6.3 | 10.0 | 50.0% | 0 | 784ms | 660 | 89 | 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-2.6-flash | 2.9 | 7.2 | 11.1% | 1 | 6.51s | 729 | 151 | 0 | |
| GPT-5.4 Nano | 5.4 | 10.0 | 33.3% | 0 | 1.25s | 642 | 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-2.6-flash | 3.0 | 10.0 | 0.0% | 0 | 18.80s | 7,324 | 229 | 0 | |
| GPT-5.4 Nano | 10.0 | 10.0 | 100.0% | 0 | 3.40s | 5,445 | 222 | 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-2.6-flash | 3.0 | 10.0 | 0.0% | 0 | 1.06s | 222 | 15 | 0 | |
| GPT-5.4 Nano | 3.0 | 10.0 | 0.0% | 0 | 773ms | 195 | 21 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
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