模型对比
Minimax-M3 和 Qwen 3.7 Max 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：Minimax-M、M3
与 GLM-5.2 对比的开源模型。
14 篇相关报道
产品
也叫：通义千问
通义实验室推出的 AI 产品，设计能力令人惊艳。
6 篇相关报道
14
Minimax-M3 相关
0
共同提及
6
Qwen 3.7 Max 相关
基于 traeai 收录材料自动更新
Minimax-M3 与 Qwen 3.7 Max 的差异，最好从真实材料覆盖、共同语境和高频标签一起判断。traeai 会根据已收录内容持续更新这组对比。
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。
Nvidia 提供了大量免费的模型 API，包括 Minimax M3、Step 3.7 Flash 和 NeMo TraN 3 Ultra，适用于创意编码和多模态任务。
入选理由：Nvidia 提供了 77 个免费模型 API，适合开发使用。
Poe 平台上线 Kimi K2.7 Code 和 MiniMax M3 两款开源模型，分别在代码生成和多模态处理方面有显著提升。
入选理由：Kimi K2.7 Code 模型支持更智能的多步骤工具调用，推理效率提升 30%。
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。
Qwen 3.7 Max is a powerful code proxy model suitable for various programming scenarios, boasting outstanding performance and adaptability.
入选理由：Qwen 3.7 Max 在基准测试中表现最佳，能够持续运行超过 35 小时。
Alibaba's newly released Qwen-3.7-Max outperforms GPT-5.5 and Opus 4.7 significantly in cost-efficiency and supports easy integration with Hermes Agent or OpenCode.
入选理由：Qwen-3.7-Max输出价格比Opus 4.7便宜3.3倍，比GPT-5.5便宜4倍。
Alibaba's Qwen 3.7 Max model is now integrated into Vercel AI Gateway, providing developers with a unified endpoint for AI model access. The model is designed for agent scenarios and supports multimodal reasoning capabilities.
入选理由：Qwen 3.7 Max模型已集成到Vercel AI Gateway平台
Qwen-3.7-max outperforms GPT-5.5 and Opus 4.7 in an agent-based task while costing significantly less.
入选理由：Qwen-3.7-max 在自进化 Tetris 机器人任务中击败 GPT-5.5 和 Opus 4.7。
文章对 Claude 和 Qwen 3.7 Max 的设计能力进行对比，指出 Claude 表现更优，但提示词重复使用易导致审美疲劳。
入选理由：Claude 在设计方面表现优于 Qwen 3.7 Max 和 GPT。
Alibaba Qwen official account retweeted a message about Qwen 3.7-max outperforming Opus 4.7 and GPT-5.5 in a Tetris robot test, but lacks specific technical details and verification information.
入选理由：Qwen 3.7-max在Tetris自训练机器人测试中击败Opus 4.7和GPT-5.5
