Qwen 3.7 Max: The Model Beating Claude Opus (Nobody's Talking About)

By In The World of AI

Categories: AI

Summary

Alibaba's Qwen 3.7 Max is quietly beating Claude Opus on coding benchmarks (69.7 vs 65.4 on Terminal Bench) and achieved a 10x speedup on autonomous GPU kernel optimization—signaling a major shift where Chinese labs are becoming frontier competitors, not just cheap alternatives.

Key Takeaways

  1. Qwen 3.7 Max dominates agentic coding tasks: 69.7 on Terminal Bench 2.0, 60.6 on Software Engineering Bench Pro, and 76.4 on MCP Atlas—outperforming Opus 4.6 Max across all three benchmarks.
  2. Pricing advantage is significant: Qwen costs $2.50/M input tokens and $7.50/M output vs GPT 4.5's $5/$30—roughly half the input cost and one-quarter the output cost, though verbose generation (97M tokens avg) can offset savings.
  3. Autonomous 35-hour GPU kernel optimization run achieved 10x geometric mean speedup with 1,580 tool calls and zero human intervention—compared to Deepseek's 3.3x, Kimmy's 5x, and GLM's 7.3x on the same task.
  4. Native Anthropic API protocol compatibility means developers can swap endpoints immediately—allowing drop-in replacement of Claude endpoints with Qwen for agentic workflows tonight without code changes.
  5. Market narrative is shifting: frontier conversation moving from 'American labs vs Chinese open-weight vs Deepseek cheap option' to Qwen as a credible third frontier player by end of 2024, threatening Deepseek's positioning.

Related topics

Transcript Excerpt

Alibaba dropped Quen 3.7 Max and almost nobody's talking about it. Gemini 3.5 Pro looks like it's about to ship with the new thinking mode that could shake up the leaderboard and more Chinese labs are dropping their API prices this week. So, let's get into it. Let's get into something I think a lot of us are quietly sleeping on. Alibaba dropped Coin 3.7 Max a few days ago and from what I can tell almost nobody outside the AI Twitter space is really talking about this model. And I get it, we've been busy with GPT 5.5, Opus 4.7, the new Gemini 3.5 flash model. So the frontier right now is focused on American labs, but the benchmarks are quite remarkable. And the deeper I dug into the technical post, the more I started thinking Quen might be quietly turning into the lab that actually matters …

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