Use Qwen3.8 Max in Tabbit
Use in Tabbit Qwen3.8 Max
Featured prompts
Qwen3.8-Max: Reasoning Effort, Context Retention, and Agent Integration Prompting Guide
The official recommendation is to use reasoningeffort to control reasoning depth: low for speed and cost, medium for balance, and xhigh for complex tasks; xhigh is the default level, and preservethinking is enabled by default. The official API example also sho。
Qwen3.8-Max Production Routing: EvoLink Prompting, Thinking Streams, and Tool Calling Guide
Source type: Third-party API/prompt and production workflow guide Publication: EvoLink.AI Blog Author: Jacey Publication…。
Qwen Studio + MCP: Prompting Qwen3.8-Max to Access Local Files and Permission Boundaries
Source type: Prompt and tool workflow guide Publication: Reddit, r/QwenAI Original post author: u/Time-Supermarket7182…。
Qwen3.8-Max Multi-turn Conversations: A Context-Recovery Prompt Derived from “Forgetting Follow-ups” Reports
Source type: Prompt issue review and repair template Publication: Reddit, r/QwenAI Original post author: u/canavaro88 P…。
Qwen3.8-Max Roleplay: Direction Following, Reasoning Time, and Preset Feedback
Source type: Prompt and preset experience feedback Publication: Reddit, r/SillyTavernAI Original post author: u/RaXeD P…。
Reviews and field notes
Qwen3.8-Max: Official Release Notes and Complete Performance Results
Source type: Official release/benchmark results Publication: Official Qwen Blog Author: Qwen Team Publication date: 2026…。
Qwen3.8-Max: Artificial Analysis's Independent Index for Quality, Cost, Speed, and Verbosity
One-sentence takeaway Artificial Analysis's current page gives Qwen3.8 Max an Intelligence Index score of 58 (No. 10 among 180 comparable models), while also recording its low speed of about 45 token/s, roughly 150M total output tokens across the index evaluat。
Qwen3.8-Max: NYU Shanghai RITS Review of Agentic Index Evolution, Turns, and Hallucination Cost
One-sentence takeaway RITS's organization of the Artificial Analysis snapshot shows that Qwen3.8-Max is close to the top models on agentic capability, but gets there mainly by taking longer Agent trajectories: about 64 turns per GDPval-AA task at roughly $1.14。
Qwen3.8-Max Preview: Trilogy AI's StackPerf Codebase Architecture Blind Test
One-sentence takeaway On the same 269-file, 60-minute StackPerf codebase architecture task using OpenCode 1.17.13, Qwen3.8-Max Preview scored 80 and Kimi K3 scored 83; Qwen was stronger on system boundaries, evidence citations, and replay metadata, while Kimi 。
Qwen3.8 Max: BenchLM's Source-Verifiable Benchmark Ledger
One-sentence takeaway BenchLM normalizes Qwen3.8 Max's 52 source-displayable benchmarks to 79.91/100, ranking it sixth among 218 models, but its category ledger also shows strong performance in Reasoning, Agentic, Multimodal, and instruction following while Au。
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Use Qwen3.8 Max in Tabbit
Explore Qwen3.8 Max reasoning controls, agent integration guidance, public benchmarks, and community coding reports in one place.