Brijesh Desai 
Alibaba’s Qwen3.7-Max outperforms some ChatGPT and Gemini versions in coding, ranking fourth globally on Code Arena with advanced autonomous capabilities, 35-hour independent runtime, and 10x chip code optimization.
Alibaba’s Qwen3.7-Max outperforms some ChatGPT and Gemini versions in coding, and the model is quickly carving out a serious reputation as one of the world’s top AI coding agents.
Alibaba’s latest AI model, Qwen3.7-Max, has surged to fourth place globally on the Code Arena leaderboard with a score of 1,541, putting it ahead of several versions of OpenAI’s ChatGPT and Google’s Gemini. The only models ranked higher are from Anthropic’s Claude family, which has long dominated coding-focused AI benchmarks.
What makes Qwen3.7-Max different
Unlike typical chatbots that primarily answer questions or generate short code snippets, Qwen3.7-Max is built for agent-based tasks. This means it’s designed to:
- Independently handle long, complex workflows
- Build front-end prototypes from scratch
- Manage large multi-file software projects
- Automate office tasks using external tools
- Run autonomously for extended periods without human intervention
Alibaba says Qwen3.7-Max can work as a coding agent for up to 35 hours straight, managing more than 1,000 tool interactions in a single session. That’s a massive leap from earlier models that would typically stall or need constant re-prompting.
Real-world coding test: AI chip optimization
To prove Qwen3.7-Max’s capabilities, Alibaba researchers tasked it with optimizing code for one of the company’s own AI chips.
The results were striking:
- The model ran continuously for around 35 hours
- It executed 432 kernel tests
- It made over 1,100 tool calls, repeatedly compiling, measuring, and rewriting code on its own
- Despite never having seen that chip architecture during training, it achieved a 10x performance improvement over the original implementation
This is a concrete demonstration that Qwen3.7-Max isn’t just good at generating code; it can iteratively optimize real-world performance in complex, specialized domains.
How it compares to ChatGPT and Gemini
Code Arena is a benchmark that measures how well AI models can independently build and handle coding tasks. Qwen3.7-Max’s 1,541 score puts it in the top tier globally, ahead of some ChatGPT and Gemini versions.
- Anthropic’s Claude series remains the only group above Qwen3.7-Max, with the Claude Opus 4.6 Max leading in several reasoning and coding tests.
- Qwen3.7-Max’s performance is close to Claude Opus 4.6 Max in several benchmarks, challenging the notion that Western models are the only ones competitive in coding.
For developers and enterprises, this means Qwen3.7-Max is now a real alternative to ChatGPT and Gemini for autonomous coding workflows, especially where long-haul agent tasks are involved.
Why this matters for developers and enterprises
Qwen3.7-Max is proprietary and available through Alibaba Cloud, signaling Alibaba’s serious commitment to leading the autonomous coding game.
For developers and engineering teams, this model offers:
- Faster prototyping of front-end applications
- Reduced manual effort on large, multi-file projects
- Automated optimization of performance-critical code
- Less human intervention needed for long, complex workflows
In a world where AI agents are becoming the norm for coding, Qwen3.7-Max is proving that Chinese AI models can compete head-to-head with OpenAI and Google on the most demanding technical tasks.
Alibaba’s Qwen3.7-Max isn’t just another AI model; it’s a full-fledged coding agent that can run for hours, handle thousands of tool calls, and actually deliver 10x performance gains on real code.
Alibaba’s Qwen3.7-Max outperforms some ChatGPT and Gemini versions in coding because it’s built for the future of development: autonomous, multi-step, high-stakes workflows. If you’re a developer or engineering leader looking for AI that can actually do coding work—not just chat about it—Qwen3.7-Max is undoubtedly one to watch.