Use Qwen3.7 Max in Tabbit
Use in Tabbit Qwen3.7 Max
Featured prompts
Qwen3.7-Max: Long-Horizon Agents, Frontend Prototypes, and Office Prompts
One-sentence takeaway The official release page provides copyable prompts for frontend interactions and office documents, and recommends retaining prior thinking in long-horizon Agents so that tool feedback drives iteration instead of requesting only one final。
Qwen3.7-Max: Alibaba Cloud Model Studio Versions, Pricing, and Cache Configuration
One-sentence takeaway The official pricing page maps the qwen3.7-max alias to a dated snapshot and explicitly lists the 1M input limit, standard rates, promotions, and cache/batch rules, making it a configuration source that must be pinned for budgeting and re。
Qwen3.7-Max: OpenCode Cache Configuration and Agent Guardrails
One-sentence takeaway When integrating Qwen3.7-Max via OpenRouter in OpenCode CLI or similar agent frameworks, you must explicitly pass context-caching request headers through the @ai-sdk/alibaba adapter layer and avoid unbound indirect tool rules in AGENTS.md。
Qwen3.7-Max: Multi-Model Collaborative Routing Configuration for Code Reading and Review
One-sentence takeaway In OpenCode, Claude Code, or self-hosted Agent setups, applying model routing rules to direct "code reading, logic explanation, and mathematical review" to Qwen3.7-Max, route "extreme hard reasoning" to Kimi K3, and offload "high-frequenc。
Qwen3.7-Max: Three.js Electronic Rubik's Cube and 3D Physics Interaction Prototype Prompt
One-sentence takeaway The official team verified Qwen3.7-Max's capability to implement complete Three.js 3D electronic Rubik's Cube rendering, mouse drag layer-rotation animations, and state machine solving within a single HTML architecture via end-to-end prom。
Qwen3.7-Max: Long-Horizon Agent Prompts and Acceptance Closed Loop for GPU Kernel Optimization
One-sentence takeaway In long-horizon autonomous systems engineering, injecting Qwen3.7-Max with a four-stage closed-loop prompt comprising "baseline comparison, compilation profiling, test-driven iteration, and state staging," combined with a rigorous anti-re。
Reviews and field notes
Qwen3.7-Max: Official Complete Benchmarks and 35-Hour Autonomous Optimization Experiment
One-sentence takeaway The official results show Qwen3.7-Max performing strongly on coding, MCP/Skills, reasoning, multilingual tasks, and long-horizon tool use, but the scores come from different harnesses; the most convincing reproduction path is to fix the t。
Qwen3.7-Max: BenchLM Public Evidence Coverage and Speed Ledger
One-sentence takeaway BenchLM rates Qwen3.7 Max at 71.6/100, with a public rank of 16/218 and an evidence-verified rank of 13/104; it ranks 1 in multilingual performance but only 103 in Agentic, while its API price and model ID have not been independently veri。
Qwen3.7-Max vs. Qwen3.7-Plus: Cost and Quality on Three Real Tasks
One-sentence takeaway Using the same prompt, medians from five runs, and a senior reviewer, Ofox compared Max and Plus: Max had small quality/speed advantages on pure text and long-horizon migration, while Plus cost about five times less across the three tasks。
Qwen3.7-Max: Artificial Analysis Intelligence Index, Cost, and Speed Benchmark
One-sentence takeaway Artificial Analysis independent benchmark results show Qwen3.7-Max scoring 47 on the Intelligence Index (top 23%) , ranking 9 with an output speed of 206.4 tok/s, and achieving a per-task cost of $0.54—significantly lower than Opus 5 and 。
Qwen3.7-Max ITBench-AA Enterprise IT Operations and SRE Root-Cause Analysis Benchmark
One-sentence takeaway In ITBench-AA — the real-world enterprise-grade SRE operations benchmark jointly launched by IBM Research and Artificial Analysis — Qwen3.7-Max debuted at 3 globally upon release, demonstrating outstanding cross-system root-cause localiza。
Qwen
Use Qwen3.7 Max in Tabbit
Explore sourced prompt guides, evaluations, and community reports for Qwen3.7 Max—then use the model directly in Tabbit.