- Peringkat
- #270
- Total token output
- 33,719
- Waktu respons (rata-rata)
- 1.35s
- Total Biaya
- $0.011
Mercury 2.5 (low) vs Ling-2.6-1T
Ling-2.6-1T unggul dalam skor rata-rata dengan 5.3 vs 5.1. Mercury 2.5 (low) memiliki biaya benchmark lebih rendah di $0.011 vs $0.016. Mercury 2.5 (low) lebih cepat di 1.35s vs 8.59s, dengan tingkat keberhasilan 39.4% vs 18.2%.
Model yang Dibandingkan
- Peringkat
- #259
- Total token output
- 11,555
- Waktu respons (rata-rata)
- 8.59s
- Total Biaya
- $0.016
Model yang direkomendasikan
Mercury 2.5 (low)
Its score stays close to the best score here (5.1 vs 5.3), while responding about 6.4x faster than Ling-2.6-1T.
Perbandingan terperinci
| Metrik | Mercury 2.5 Mercury 2.5 low | Ling-2.6-1T Ling-2.6-1T none |
|---|---|---|
| Skor | 5.1 | 5.3 |
| Peringkat | #270 | #259 |
| Keandalan | 9.8 | 10.0 |
| Konsistensi | 8.1 | 10.0 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 39.4% | 18.2% |
| Tes tidak stabil | 5 | 0 |
| Total Run | 66 | 66 |
| Biaya per hasil | 0.177 | 0.278 |
| Total Biaya | $0.011 | $0.016 |
| Harga input | $0.040 / 1M | $0.075 / 1M |
| Harga output | $0.150 / 1M | $0.625 / 1M |
| Total token input | 138,020 | 106,423 |
| Token output | 6,083 | 11,555 |
| Token penalaran | 27,636 | 0 |
| Waktu respons (rata-rata) | 1.35s | 8.59s |
| Waktu respons (maks) | 7.48s | 25.72s |
| Waktu respons (total) | 29.74s | 163.20s |
| Parameter | ~100B | 1T total (63B aktif) |
| Ketersediaan | Tertutup | Sumber terbuka |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#270 Mercury 2.5
low- Biaya
- $0.001
- Waktu
- 2.4s
- Token
- 1,236 tok
#259 Ling-2.6-1T
none
Ling-2.6-1T is no longer available as a free model. It has transitioned to a paid model. Continue using it here: https://openrouter.ai/inclusionai/ling-2.6-1t
- Biaya
- $0.000
- Waktu
- 0.1s
- 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 | 6.9 | 7.9 | 66.7% | 1 | 799ms | 772 | 209 | 2,969 | |
| Ling-2.6-1T | 3.4 | 10.0 | 0.0% | 0 | 6.55s | 726 | 777 | 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 | 5.5 | 10.0 | 33.3% | 0 | 972ms | 7,909 | 521 | 2,269 | |
| Ling-2.6-1T | 3.8 | 10.0 | 0.0% | 0 | 10.57s | 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 | 3.0 | 10.0 | 0.0% | 0 | 5.16s | 107,683 | 3,750 | 11,351 | |
| Ling-2.6-1T | 6.5 | 10.0 | 50.0% | 0 | 23.79s | 80,539 | 9,304 | 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 | 6.5 | 10.0 | 50.0% | 0 | 1.06s | 8,322 | 739 | 1,499 | |
| Ling-2.6-1T | 10.0 | 10.0 | 100.0% | 0 | 1.37s | 8,313 | 285 | 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 | 3.6 | 7.2 | 22.2% | 1 | 846ms | 851 | 57 | 2,265 | |
| Ling-2.6-1T | 3.0 | 10.0 | 0.0% | 0 | 1.08s | 819 | 27 | 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 | 4.4 | 9.9 | 0.0% | 0 | 819ms | 525 | 99 | 748 | |
| Ling-2.6-1T | 5.0 | 10.0 | 0.0% | 0 | 20.34s | 540 | 140 | 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 | 2.9 | 6.0 | 16.7% | 1 | 972ms | 518 | 48 | 1,026 | |
| Ling-2.6-1T | 6.4 | 10.0 | 50.0% | 0 | 5.36s | 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 | 5.9 | 4.5 | 66.7% | 2 | 792ms | 768 | 249 | 2,214 | |
| Ling-2.6-1T | 3.1 | 10.0 | 0.0% | 0 | 5.36s | 729 | 131 | 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 | 9.8 | 10.0 | 100.0% | 0 | 2.72s | 10,440 | 388 | 2,537 | |
| Ling-2.6-1T | 3.0 | 10.0 | 0.0% | 0 | 25.72s | 13,212 | 429 | 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 | 3.0 | 10.0 | 0.0% | 0 | 782ms | 232 | 23 | 758 | |
| Ling-2.6-1T | 3.0 | 10.0 | 0.0% | 0 | 0ms | 0 | 0 | 0 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
Mercury 2.5lowvsQwen3 Coder NextnoneMercury 2.5lowvsMistral Small 4mediumMercury 2.5lowvsMistral Small 4noneMercury 2.5lowvsNemotron 3.5 LightningmediumTersedia gratisMercury 2.5lowvsMiMo-V2.5noneMercury 2.5lowvsQwen3.5-9BnoneNorth Mini CodenoneTersedia gratisvsMercury 2.5lowLing-2.6-1TnonevsLaguna S 2.1highTersedia gratisGranite 4.2 8BmediumvsMercury 2.5lowMercury 2.5lowvsInklingnoneDots 3 Note PreviewnoneTersedia gratisvsMercury 2.5lowMercury 2.5lowvsMiniMax M2.7medium