模型对比
Grok Imagine Video 1.5 和 MiniMax M3 都是 AI 领域的模型。以下是基于 traeai 收录的真实报道数据的全面对比。
模型
也叫：Grok Imagine Video
领先的图像到视频生成模型，支持单次通传与音频同步。
4 篇相关报道
模型
也叫：M3
多模态大模型，支持长程上下文与多模态任务。
9 篇相关报道
4
Grok Imagine Video 1.5 相关
0
共同提及
9
MiniMax M3 相关
Vercel integrates xAI's Grok Imagine Video 1.5 into AI Gateway, enabling unified model access and improved video generation quality and efficiency.
入选理由：Grok Imagine Video 1.5 已接入 Vercel AI Gateway，开发者可通过单一端点调用。
Grok Imagine Video 1.5 is a video generation model with significant improvements in aesthetic precision and physics adherence, enabling high-quality dynamic scene generation through structured prompts that support environmental and auditory details.
入选理由：Grok Imagine Video 1.5 在视觉美学和物理规律遵循方面有显著提升。
Grok Imagine Video 1.5 is now available on Vercel AI Gateway, enabling image-to-video generation in a single pass with synced audio, significantly reducing latency and deployment costs.
入选理由：在 Vercel AI Gateway 上线 Grok Imagine Video 1.5，支持单次通传生成。
Replicate partners with XAI to release the ultimate prompting guide for Grok Imagine Video 1.5, covering best practices and tips for video generation.
入选理由：Replicate 与 XAI 合作，将 XAI 模型接入平台。
MiniMax M3 has debuted in Code Arena, ranking #7 in the frontend track with a score of 1,531, tying with GLM-5.1. It advances the Pareto frontier in its price class at $0.60/ $2.40 per Mtoken.
入选理由：Code Arena 前端排名第7，得分1531，与GLM-5.1并列。
Together AI optimized the deployment of MiniMax M3, achieving 81–125% throughput improvements through architectural and engineering innovations.
入选理由：MiniMax M3 supports 1M-token context and native multimodality, making it suitable for complex real-world tasks.
MiniMax-M3 has launched on OpenRouter — a frontier-class open-weight model supporting 1M-token context, agentic performance, and native multimodality (image & video), marking a major leap in long-context, autonomous-agent, and multi-modal AI capabilities.
入选理由：MiniMax-M3 支持1M-token上下文窗口，显著超越主流模型如GPT-4o的32K限制。
Real-world testing shows that MiniMax M3 outperforms M2.7 in multimodal long-range tasks, with a 30% increase in inference speed and a 15% increase in accuracy.
入选理由：MiniMax M3在多模态长文本生成任务中准确率较M2.7提升15%。
The open-weight model MiniMax M3 has reached performance comparable to GPT-5.5 and Opus 4.7, outperforming Gemini 3.1 Pro in coding tasks, and costs 10x less to use, with weights to be released on Hugging Face next week.
入选理由：MiniMax M3在SWE Bench Pro上与GPT-5.5性能相当
MiniMax M3 is the first open-weight model supporting text, vision, document, and code tasks, excelling in benchmarks like SWE-Bench Pro with 1M context length.
入选理由：MiniMax M3 在 SWE-Bench Pro 达到 59.0%，Terminal Bench 2.1 达 66.0%，是当前开源模型中编程能力最强之一。
MiniMax M3 ranks #14 in Document Arena, a leaderboard for document analysis and long-context reasoning, shifting the Pareto frontier at its price point.
入选理由：MiniMax M3 在 Document Arena 排名第 14，评估维度为文档分析与长文本推理能力。
MiniMax M3 achieved a 26% performance improvement on BU Bench, reaching the level of Claude 4.6-sonnet and Gemini 3.5 Flash, but test details are not disclosed.
入选理由：MiniMax M3在BU Bench上实现26%的性能提升，具体测试方法未详述。
