Qwen 3.7-max beats Opus 4.7 and GPT-5.5 We tested three frontier models on a real agentic task: write a Tetris bot that plays the game and trains itself. Each model could read its own code, run benchmarks, and rewrite itself across 10 iterations. Then we compared the final bots head to head. Qwen 3.7-Max: training cost $1.32, bot improvement +56% Claude Opus 4.7: training cost $12.15, bot improvement +28% GPT-5.5: training cost $2.85, bot improvement +7% Qwen won on every dimension - biggest jump, 9× cheaper than Claude, 2× cheaper than GPT. Long agentic loops is where Qwen Max actually delivers.

Claude Opus 4.7 is over-trained on the Anthropic website. Every HTML page it designs has that unmistakable Anthropic flavor. GPT-5.5 is still weirdly weak at frontend. It designs frontend like it learned CSS from a backend engineer. OpenAI urgently needs an MTS with taste.

Claude Opus 4.7 and GLM-5.1 are now live on Taco Autopilot. You're not locked into one model. Connect whichever AI you trust most: @TacoTradeX · @claudeai · @OpenAI · @Alibaba_Qwen · @deepseek_ai · @GeminiApp · @Kimi_Moonshot · @MiniMax_AI . Different models think differently but Taco puts them all into one continuous execution loop. Try different models for your AI trader at: