模型对比
Qwen 3.7 Max 和 Step 3.7 Flash 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：通义千问
阿里巴巴云推出的一款强大代码代理模型。
5 篇相关报道
产品
也叫：step3.7flash
Anthropic 公司推出的较便宜的大型语言模型。
8 篇相关报道
5
Qwen 3.7 Max 相关
0
共同提及
8
Step 3.7 Flash 相关
基于 traeai 收录材料自动更新
Qwen 3.7 Max 与 Step 3.7 Flash 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。
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。
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
StepFun released Step 3.7 Flash — a high-efficiency agentic coding model supporting multimodal understanding, tool use, and long-running workflows; its standout feature is full free access in Hermes Agent, removing typical API/credit barriers for real-world testing.
入选理由：Step 3.7 Flash 是 StepFun 新一代 agentic coding 模型，含196B总参数 + 1.8B 视觉模块 + ~11B 激活参数，支持256K上下文窗口。
Step 3.7 Flash by Yujue Star is a new-generation Flash model for production-grade AI Agents, featuring native multimodal understanding, high throughput with low latency, and enhanced web search. It achieves 97% of Claude Opus 4.6's coding performance at only 1/9 the cost per task, ideal for high-frequency, complex real-world workflows.
入选理由：Step 3.7 Flash 采用稀疏 MoE 架构，激活参数仅 11B，最高生成速度达 400 Tokens/s，支持 40 个 Agent 并行运行。
Step 3.7 Flash is a 196B MoE model designed from the ground up for inference efficiency, using MFA and AFD techniques to reduce KV-cache usage to ~22% of DeepSeek, supporting agent, coding, and multimodal workflows, open-sourced under Apache 2.0 and available on Fireworks.
入选理由：Step 3.7 Flash 是 196B MoE 模型，从设计之初就聚焦推理效率，而非事后优化。
NVIDIA introduces Step 3.7 Flash for large-scale MoE models.
入选理由：Step 3.7 Flash 支持 198B 参数 MoE 模型，其中 11B 参数为活跃状态。
Claude Fable 5 相比 Step 3.7 Flash API 价格高出约 50 倍，Fast Mode 下价格差距扩大至 300 倍。
入选理由：Claude Fable 5 输入价格是 Step 3.7 Flash 的 50 倍。
文章仅提供了一个链接，介绍如何在 NVIDIA GPU 上运行 Step 3.7 Flash，缺乏深度和技术细节。
入选理由：文章链接指向 NVIDIA 开发者博客，介绍 Step 3.7 Flash 的运行方法。
Step 3.7 Flash significantly reduces KV-cache cost via MFA + AFD technology, enabling efficient inference with one-click deployment.
入选理由：Step 3.7 Flash采用MFA + AFD技术，将KV-cache成本降至原模型的分数。
Step 3.7 Flash model achieves 400 tokens/sec processing speed, reducing Agent task cost to a fraction of Claude's.
入选理由：处理速度达400 tokens/秒
