- Peringkat
- #259
- Total token output
- 19,330
- Waktu respons (rata-rata)
- 45.97s
- Total Biaya
- $0.009
Granite 4.2 8B (medium) vs Mercury 2.5 (low)
Granite 4.2 8B (medium) unggul dalam skor rata-rata dengan 5.2 vs 5.1. Granite 4.2 8B (medium) memiliki biaya benchmark lebih rendah di $0.009 vs $0.011. Mercury 2.5 (low) lebih cepat di 1.35s vs 45.97s, dengan tingkat keberhasilan 34.9% vs 39.4%.
Model yang Dibandingkan
- Peringkat
- #265
- Total token output
- 33,719
- Waktu respons (rata-rata)
- 1.35s
- Total Biaya
- $0.011
Model yang direkomendasikan
Mercury 2.5 (low)
Its score stays close to the best score here (5.1 vs 5.2), while responding about 34.0x faster than Granite 4.2 8B (medium).
Perbandingan terperinci
| Metrik | Granite 4.2 8B Granite 4.2 8B medium | Mercury 2.5 Mercury 2.5 low |
|---|---|---|
| Skor | 5.2 | 5.1 |
| Peringkat | #259 | #265 |
| Keandalan | 8.7 | 9.8 |
| Konsistensi | 9.6 | 8.1 |
| Percobaan | 66/66 | 66/66 |
| Tes benar | ||
| Tingkat lulus per percobaan | 34.9% | 39.4% |
| Tes tidak stabil | 1 | 5 |
| Total Run | 66 | 66 |
| Biaya per hasil | 0.117 | 0.177 |
| Total Biaya | $0.009 | $0.011 |
| Harga input | $0.100 / 1M | $0.040 / 1M |
| Harga output | $0.150 / 1M | $0.150 / 1M |
| Total token input | 52,909 | 138,020 |
| Token output | 7,058 | 6,083 |
| Token penalaran | 12,272 | 27,636 |
| Waktu respons (rata-rata) | 45.97s | 1.35s |
| Waktu respons (maks) | 557.96s | 7.48s |
| Waktu respons (total) | 1011.42s | 29.74s |
| Parameter | 8B | ~100B |
| Ketersediaan | Sumber terbuka | Tertutup |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#259 IBM: Granite 4.2 8B
medium
Provider returned error
- Biaya
- $0.000
- Waktu
- 0.2s
- Token
- 0 tok
#265 Mercury 2.5
low- Biaya
- $0.001
- Waktu
- 2.4s
- Token
- 1,236 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 |
|---|---|---|---|---|---|---|---|---|---|
| Granite 4.2 8B | 8.4 | 10.0 | 75.0% | 0 | 10.34s | 777 | 1,452 | 889 | |
| Mercury 2.5 | 6.9 | 7.9 | 66.7% | 1 | 799ms | 772 | 209 | 2,969 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Granite 4.2 8B | 5.5 | 10.0 | 33.3% | 0 | 12.09s | 8,439 | 2,445 | 3,900 | |
| Mercury 2.5 | 5.5 | 10.0 | 33.3% | 0 | 972ms | 7,909 | 521 | 2,269 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Granite 4.2 8B | 3.0 | 10.0 | 0.0% | 0 | 291.12s | 24,807 | 1,902 | 6,258 | |
| Mercury 2.5 | 3.0 | 10.0 | 0.0% | 0 | 5.16s | 107,683 | 3,750 | 11,351 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Granite 4.2 8B | 6.5 | 10.0 | 50.0% | 0 | 1.43s | 7,683 | 270 | 75 | |
| Mercury 2.5 | 6.5 | 10.0 | 50.0% | 0 | 1.06s | 8,322 | 739 | 1,499 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Granite 4.2 8B | 5.3 | 10.0 | 33.3% | 0 | 13.96s | 876 | 154 | 290 | |
| Mercury 2.5 | 3.6 | 7.2 | 22.2% | 1 | 846ms | 851 | 57 | 2,265 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Granite 4.2 8B | 4.0 | 10.0 | 0.0% | 0 | 605ms | 561 | 102 | 24 | |
| Mercury 2.5 | 4.4 | 9.9 | 0.0% | 0 | 819ms | 525 | 99 | 748 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Granite 4.2 8B | 3.8 | 6.0 | 33.3% | 1 | 36.86s | 636 | 127 | 425 | |
| Mercury 2.5 | 2.9 | 6.0 | 16.7% | 1 | 972ms | 518 | 48 | 1,026 |
| Pemecahan teka-teki | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Granite 4.2 8B | 3.1 | 10.0 | 0.0% | 0 | 75.99s | 469 | 206 | 56 | |
| Mercury 2.5 | 5.9 | 4.5 | 66.7% | 2 | 792ms | 768 | 249 | 2,214 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Granite 4.2 8B | 10.0 | 10.0 | 100.0% | 0 | 2.28s | 8,412 | 359 | 214 | |
| Mercury 2.5 | 9.8 | 10.0 | 100.0% | 0 | 2.72s | 10,440 | 388 | 2,537 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| Granite 4.2 8B | 3.0 | 10.0 | 0.0% | 0 | 2.24s | 249 | 41 | 141 | |
| Mercury 2.5 | 3.0 | 10.0 | 0.0% | 0 | 782ms | 232 | 23 | 758 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
Mercury 2.5lowvsQwen3 Coder NextnoneGranite 4.2 8BmediumvsInklingnoneMercury 2.5lowvsMistral Small 4mediumMercury 2.5lowvsMistral Small 4noneDots 3 Note PreviewnoneTersedia gratisvsGranite 4.2 8BmediumMercury 2.5lowvsNemotron 3.5 LightningmediumTersedia gratisMercury 2.5lowvsMiMo-V2.5noneMercury 2.5lowvsQwen3.5-9BnoneGranite 4.2 8BmediumvsMistral Small 4noneNorth Mini CodenoneTersedia gratisvsMercury 2.5lowGranite 4.2 8BmediumvsQwen3 Coder NextnoneMercury 2.5lowvsInklingnone