- Peringkat
- #254
- Total token output
- 31,975
- Waktu respons (rata-rata)
- 1.31s
- Total Biaya
- $0.011
Mercury 2.5 Preview (low) vs Ling-2.6-flash
Mercury 2.5 Preview (low) unggul dalam skor rata-rata dengan 5.0 vs 4.9. Ling-2.6-flash memiliki biaya benchmark lebih rendah di $0.002 vs $0.011. Mercury 2.5 Preview (low) lebih cepat di 1.31s vs 10.71s, dengan tingkat keberhasilan 47.0% vs 30.3%.
- Peringkat
- #260
- Total token output
- 14,903
- Waktu respons (rata-rata)
- 10.71s
- Total Biaya
- $0.002
Model yang direkomendasikan
Mercury 2.5 Preview (low)
It has the best score here (5.0), while responding about 8.2x faster than Ling-2.6-flash.
Perbandingan terperinci
| Metrik | Mercury 2.5 Preview Mercury 2.5 Preview low | Ling-2.6-flash Ling-2.6-flash none |
|---|---|---|
| Skor | 5.0 | 4.9 |
| Peringkat | #254 | #260 |
| Keandalan | 10.0 | 9.6 |
| Konsistensi | 7.0 | 9.3 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 47.0% | 30.3% |
| Tes tidak stabil | 8 | 2 |
| Total Run | 66 | 66 |
| Biaya per hasil | 0.169 | 0.024 |
| Total Biaya | $0.011 | $0.002 |
| Harga input | $0.040 / 1M | $0.010 / 1M |
| Harga output | $0.150 / 1M | $0.030 / 1M |
| Total token input | 133,525 | 114,384 |
| Token output | 7,259 | 14,903 |
| Token penalaran | 24,716 | 0 |
| Waktu respons (rata-rata) | 1.31s | 10.71s |
| Waktu respons (maks) | 7.29s | 36.03s |
| Waktu respons (total) | 28.77s | 214.28s |
| Parameter | ~100B | 104B total (7.4B aktif) |
| Ketersediaan | Tertutup | Sumber terbuka |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#254 Mercury 2.5 Preview
low- Biaya
- $0.001
- Waktu
- 1.5s
- Token
- 1,169 tok
#260 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
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 |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 5.6 | 3.8 | 66.7% | 3 | 759ms | 786 | 290 | 3,019 | |
| Ling-2.6-flash | 6.8 | 8.1 | 58.3% | 1 | 11.81s | 726 | 573 | 0 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 5.5 | 10.0 | 33.3% | 0 | 972ms | 7,794 | 695 | 2,263 | |
| Ling-2.6-flash | 5.3 | 10.0 | 33.3% | 0 | 11.21s | 813 | 381 | 0 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 3.0 | 10.0 | 0.0% | 0 | 4.77s | 110,517 | 5,013 | 9,661 | |
| Ling-2.6-flash | 3.0 | 10.0 | 0.0% | 0 | 35.69s | 94,475 | 13,094 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 6.3 | 5.8 | 66.7% | 1 | 1.12s | 8,309 | 611 | 1,521 | |
| Ling-2.6-flash | 6.5 | 10.0 | 50.0% | 0 | 8.48s | 8,004 | 246 | 0 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 4.1 | 4.4 | 44.5% | 2 | 836ms | 849 | 45 | 2,247 | |
| Ling-2.6-flash | 3.0 | 10.0 | 0.0% | 0 | 5.20s | 819 | 24 | 0 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 5.0 | 10.0 | 0.0% | 0 | 1.05s | 540 | 105 | 749 | |
| Ling-2.6-flash | 4.0 | 10.0 | 0.0% | 0 | 1.45s | 540 | 109 | 0 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 6.3 | 10.0 | 50.0% | 0 | 1.60s | 745 | 99 | 1,492 | |
| Ling-2.6-flash | 9.8 | 10.0 | 100.0% | 0 | 5.52s | 732 | 81 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 8.2 | 7.2 | 88.9% | 1 | 710ms | 777 | 312 | 2,271 | |
| Ling-2.6-flash | 2.9 | 7.2 | 11.1% | 1 | 6.51s | 729 | 151 | 0 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 2.8 | 1.6 | 33.3% | 1 | 1.57s | 2,983 | 76 | 739 | |
| Ling-2.6-flash | 3.0 | 10.0 | 0.0% | 0 | 18.80s | 7,324 | 229 | 0 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 3.0 | 10.0 | 0.0% | 0 | 591ms | 225 | 13 | 754 | |
| Ling-2.6-flash | 3.0 | 10.0 | 0.0% | 0 | 1.06s | 222 | 15 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
Mercury 2.5 PreviewlowvsMiniMax M2.7mediumDeepSeek V3.2nonevsMercury 2.5 PreviewlowLing-2.6-flashnonevsNemotron 3.5 LightninglowTersedia gratisNorth Mini CodenoneTersedia gratisvsMercury 2.5 PreviewlowMercury 2.5 PreviewlowvsGPT-4o-mininoneTrinity Large ThinkinghighvsLing-2.6-flashnoneMercury 2.5 PreviewlowvsQwen3.5-9BnoneMercury 2.5 PreviewlowvsMiMo-V2.5noneMercury 2.5 PreviewlowvsQwen3 Coder NextnoneMercury 2.5 PreviewlowvsMistral Small 4mediumMercury 2.5 PreviewlowvsMistral Small 4noneMercury 2.5 PreviewlowvsNemotron 3.5 LightningmediumTersedia gratis