mimo-v2.6-pro / 对话
Xiaomi's flagship open-source omni-modal model (1T params) with 1M context. Scores 46 on Artificial Analysis Intelligence Index—top open-weight model, surpassing Kimi K3 and Qwen3.8 Max. Excels in agentic coding (DeepSWE v1.1: 72.57), 3D spatial reasoning, and CUA.
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 | 435/ 1M Tokens | 870/ 1M Tokens | $0.435 | $0.870 | $0.004 4/ 1M Tokens | $0.004 4/ 1M Tokens | -- |
Models from the Same Channel
Explore complementary models and alternative versions from the same provider channel.
Recommended Related Models
Explore complementary video and multimodal models with your unified API key.
GLM-5.3
glm-5.3
Zhipu AI's flagship text model optimized for complex software engineering and long-horizon Agent tasks. Features a 1M-token context window with mandatory reasoning (3 levels: low/high/max). Coding capability improved 50% over GLM-5.2 on Z.ai Code Bench; scores SOTA on Terminal Bench 3.0. Excels in cybersecurity tasks (cyber vulnerability discovery)
GLM-5.3 Flash
glm-5.3-flash
Z.ai's native multimodal model (320B-A18B) with text, image, video, and file input. Features hybrid sparse + linear attention, reducing attention compute 3x and KV cache 4.4x vs. GLM-5.3. Scores 57 on Artificial Analysis Intelligence Index—matching Claude Opus 4.8—with 1M context and 128K max output. Excels in agentic coding, vision-based Computer Use, and CAD reproduction
Qwen3.8 Flash
qwen3.8-flash
Alibaba's cost-efficient multimodal reasoning model. Supports text, image, and video inputs with text output. Features a native 1M-token context window for long documents, codebases, and agentic workflows. Excels in coding assistance, desktop interaction, chart analysis, and long-video understanding. Compatible with OpenAI/Anthropic protocols for seamless integration
GLM-5.2
glm-5.2
Flagship text model purpose-built for long-horizon agentic workflows. Features a 1M context window supporting project-level engineering in a single session. Excels at autonomous coding: can complete development, testing, and multi-platform deployment from a single prompt. Top open-weight model per Artificial Analysis; #1 globally on Code Arena. MIT-licensed and Day-0 optimized for domestic AI chips