mimo-v2.6-flash / 对话
Efficient omni-modal model (309B total, 15B activated) with hybrid attention and 1M context. Outperforms previous MiMo-V2.5-Pro across benchmarks; DeepSWE v1.1 score improved to 65.68 via scaled RL training. Optimized for agentic workflows, coding, and visual tasks
Playground 对话
与 AI 模型开启对话，您可以询问任何问题。
AI 生成结果的准确性可能有所不同。
价格详情
此模型的实际计费根据您在 API 请求中传入的具体参数动态计算。以下是具体的组合及其对应的价格：
| 模态 | 输入积分 | 输出积分 | 输入价格 | 输出价格 | 隐式缓存命中 | 显式缓存命中 | 创建缓存 |
|---|---|---|---|---|---|---|---|
| Standard | 140/ 1M Tokens | 280/ 1M Tokens | $0.140 | $0.280 | $0.003 3/ 1M Tokens | $0.003 3/ 1M Tokens | -- |
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