DeepSeek V4 vs MiMo V2
兩個模型整體表現接近
Arena ELO
平手
價格較低
DeepSeek V4
速度較快
MiMo V2
詳細比較
| 類別 | DeepSeek V4 | MiMo V2 |
|---|---|---|
| Provider | DeepSeek | Xiaomi |
| Context Window | 128K | 256K 勝出 |
| Input Price ($/1M) | $0.435 勝出 | N/A |
| Output Price ($/1M) | $0.87 勝出 | N/A |
| Arena ELO | N/A | N/A |
| Coding | N/A | unknown |
| Reasoning | N/A | unknown |
| Speed (tokens/sec) | N/A | ~70 t/s 勝出 |
| Open Source | Yes | Yes |
常見問題
Which is better for coding, DeepSeek V4 or MiMo V2?
DeepSeek V4 scores N/A on coding benchmarks, while MiMo V2 scores unknown.
Which has a larger context window?
DeepSeek V4 supports 128K context, while MiMo V2 supports 256K.
Is DeepSeek V4 or MiMo V2 open source?
DeepSeek V4 is open source. MiMo V2 is open source.
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更多比較
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