- Peringkat
- #151
- Total token output
- 585,416
- Waktu respons (rata-rata)
- 54.57s
- Total Biaya
- $0.200
MiMo-V2.6-Flash (low) vs GLM 5.3 FlashX (medium)
Skor rata-rata hampir imbang di 7.1 vs 7.1. GLM 5.3 FlashX (medium) memiliki biaya benchmark lebih rendah di $0.114 vs $0.200. GLM 5.3 FlashX (medium) lebih cepat di 7.37s vs 54.57s, dengan tingkat keberhasilan 66.7% vs 69.6%.
Model yang Dibandingkan
- Peringkat
- #150
- Total token output
- 30,048
- Waktu respons (rata-rata)
- 7.37s
- Total Biaya
- $0.114
Model yang direkomendasikan
GLM 5.3 FlashX (medium)
It has the best score here (7.1), while costing about 1.8x less than MiMo-V2.6-Flash (low).
Perbandingan terperinci
| Metrik | MiMo-V2.6-Flash MiMo-V2.6-Flash low | GLM 5.3 FlashX GLM 5.3 FlashX medium |
|---|---|---|
| Skor | 7.1 | 7.1 |
| Peringkat | #151 | #150 |
| Keandalan | 10.0 | 10.0 |
| Konsistensi | 7.9 | 7.1 |
| Percobaan | 69/69 | 69/69 |
| Tes benar | ||
| Tingkat lulus per percobaan | 66.7% | 69.6% |
| Tes tidak stabil | 6 | 8 |
| Total Run | 69 | 69 |
| Biaya per hasil | 1.666 | 0.946 |
| Total Biaya | $0.200 | $0.114 |
| Harga input | $0.140 / 1M | $0.370 / 1M |
| Harga output | $0.280 / 1M | $1.250 / 1M |
| Total token input | 256,428 | 205,100 |
| Token output | 9,786 | 8,639 |
| Token penalaran | 575,630 | 21,409 |
| Waktu respons (rata-rata) | 54.57s | 7.37s |
| Waktu respons (maks) | 345.18s | 74.39s |
| Waktu respons (total) | 1255.15s | 169.54s |
| Parameter | 309B total (15B aktif) | 320B total (18B aktif) |
| Ketersediaan | Sumber terbuka | Tertutup |
Showcase generasi model
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#151 MiMo-V2.6-Flash
low- Biaya
- $0.009
- Waktu
- 167.2s
- Token
- 29,794 tok
#150 GLM 5.3 FlashX
medium- Biaya
- $0.002
- Waktu
- 8.1s
- Token
- 1,480 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
| Tugas agen | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| MiMo-V2.6-Flash | 4.7 | 1.6 | 66.7% | 1 | 107.91s | 131,827 | 860 | 28,186 | |
| GLM 5.3 FlashX | 10.0 | 10.0 | 100.0% | 0 | 74.39s | 120,771 | 922 | 9,693 |
| Trik anti-AI | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| MiMo-V2.6-Flash | 8.2 | 7.9 | 83.3% | 1 | 1.51s | 621 | 334 | 1,445 | |
| GLM 5.3 FlashX | 7.3 | 5.8 | 83.3% | 2 | 1.71s | 639 | 343 | 368 |
| Pemrograman | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| MiMo-V2.6-Flash | 8.4 | 7.4 | 88.9% | 1 | 10.97s | 7,422 | 405 | 21,894 | |
| GLM 5.3 FlashX | 6.0 | 4.6 | 66.7% | 2 | 6.37s | 7,317 | 384 | 5,562 |
| Gabungan | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| MiMo-V2.6-Flash | 6.6 | 9.1 | 50.0% | 0 | 20.80s | 99,560 | 6,666 | 19,275 | |
| GLM 5.3 FlashX | 2.8 | 1.6 | 33.3% | 2 | 15.97s | 59,549 | 5,920 | 2,786 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| MiMo-V2.6-Flash | 10.0 | 10.0 | 100.0% | 0 | 1.51s | 7,746 | 257 | 861 | |
| GLM 5.3 FlashX | 10.0 | 10.0 | 100.0% | 0 | 1.74s | 7,149 | 210 | 134 |
| Spesifik domain | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| MiMo-V2.6-Flash | 3.0 | 10.0 | 0.0% | 0 | 276.95s | 744 | 349 | 393,864 | |
| GLM 5.3 FlashX | 3.6 | 7.2 | 22.2% | 1 | 3.52s | 759 | 38 | 2,005 |
| Kecerdasan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| MiMo-V2.6-Flash | 4.8 | 3.2 | 33.3% | 1 | 1.60s | 492 | 113 | 375 | |
| GLM 5.3 FlashX | 3.4 | 2.2 | 33.3% | 1 | 1.79s | 498 | 135 | 0 |
| Kepatuhan instruksi | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| MiMo-V2.6-Flash | 8.0 | 6.6 | 83.3% | 1 | 955ms | 672 | 76 | 507 | |
| GLM 5.3 FlashX | 10.0 | 10.0 | 100.0% | 0 | 1.51s | 678 | 72 | 70 |
| Pemecahan teka-teki | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| MiMo-V2.6-Flash | 8.2 | 7.2 | 88.9% | 1 | 24.19s | 660 | 440 | 29,603 | |
| GLM 5.3 FlashX | 10.0 | 10.0 | 100.0% | 0 | 1.84s | 672 | 306 | 371 |
| Pemanggilan alat | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| MiMo-V2.6-Flash | 10.0 | 10.0 | 100.0% | 0 | 2.29s | 6,474 | 240 | 207 | |
| GLM 5.3 FlashX | 10.0 | 10.0 | 100.0% | 0 | 10.30s | 6,861 | 231 | 20 |
| Pengetahuan umum | Skor | Konsistensi | Tingkat lulus per percobaan | Tes tidak stabil | Tes benar | Waktu respons (rata-rata) | Token input | Token output | Token penalaran |
|---|---|---|---|---|---|---|---|---|---|
| MiMo-V2.6-Flash | 3.0 | 10.0 | 0.0% | 0 | 154.43s | 210 | 46 | 79,413 | |
| GLM 5.3 FlashX | 3.0 | 10.0 | 0.0% | 0 | 2.60s | 207 | 78 | 400 |
Perbandingan Cepat
Ganti Pasangan Perbandingan
GPT-5.2 ChatnonevsMiMo-V2.6-FlashlowGPT-5.2 ChatnonevsGLM 5.3 FlashXmediumGemini 3.1 Flash Lite PreviewmediumvsMiMo-V2.6-FlashlowKimi K2.7 CodemediumvsMiMo-V2.6-FlashlowClaude Opus 5nonevsGLM 5.3 FlashXmediumClaude Opus 5nonevsMiMo-V2.6-FlashlowEmber-1lowvsGLM 5.3 FlashXmediumQwen3.6 27BmediumvsMiMo-V2.6-FlashlowStep 3.7 FlashlowvsGLM 5.3 FlashXmediumMiMo-V2.6-FlashlowvsGLM 5mediumQwen3.5-122B-A10BmediumvsMiMo-V2.6-FlashlowLongCat 2.0mediumvsMiMo-V2.6-Flashlow