Alibaba
Qwen3.8 Omni Flash
Total Context
1M
Max Output
131.1K
Released
N/A
qwen3.6-max-previewQwen3.6 Max is commonly framed as the higher-capability tier of the Qwen3.6 generation. Available third-party descriptions emphasize a large sparse-MoE design, stronger agentic coding, and tool-use oriented behavior. The description should focus on deeper software engineering, reasoning, and autonomous workflow execution rather than just “better general text generation.”
Context Window
262.1K tokens
Maximum Output
65.5K tokens
Release Date
Apr 20, 2026
Modalities
| Token Tier | Input Price | Output Price | Cache Create 5m | Cache Read 5m |
|---|---|---|---|---|
| <=128K | $1.2857/M | $7.7143/M | $1.6071/M | $0.1286/M |
| >128K | $2.1429/M | $12.8571/M | $2.6786/M | $0.2143/M |
Reasoning
Tool calling
Temperature parameter
Attachments
Knowledge Base
Endpoint Protocols
Qwen3.6-Max-Preview is a text-only preview focused on coding-agent execution, frontend development and stronger retention of long-tail knowledge.
Enhanced coding-agent efficiency helps the model carry out multi-step implementation and revision workflows.
Improved frontend programming and vibe-coding abilities support translating product requirements into working interfaces.
Upgraded retention of less common knowledge improves responses to specialized and knowledge-intensive text prompts.
Qwen3.6-Max-Preview is suited to text-based coding agents, frontend implementation and specialized knowledge analysis during preview evaluation.
Plan and execute a sequence of code edits, inspect intermediate results and revise the implementation as requirements evolve.
Convert written product specifications into frontend components, interaction logic and working page structures.
Synthesize text about specialized or less common topics into explanations, comparisons and actionable conclusions.
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)Qwen3.6 Max Preview
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 40 |
| Artificial Analysis Coding Index | Artificial Analysis software task aggregate | 44.9 |
| Knowledge & Reasoning | ||
| GPQA | Advanced science problem solving | 88.8% |
| HLE | Broad expert-level exam set | 28.9% |
| Coding & Engineering | ||
| SciCode | Scientific coding challenges | 46.9% |
| Terminal-Bench Hard | Hard terminal task execution | 43.9% |
| Instruction Following & Agent Tasks | ||
| IFBench | Prompt constraint adherence | 76.6% |
| AA-LCR | Long-context reasoning | 69.7% |
| τ²-Bench | Agent workflow tasks | 95.9% |
Metrics sourced from Artificial Analysis
Qwen 3.6 Max Preview: capabilities, use cases, limits, and TokenHub guidance.
Qwen 3.6 Max Preview is a Alibaba Qwen model for preview-stage flagship reasoning and agent evaluation.
Best for complex coding, agent workflows and research and synthesis, especially when early evaluation is the priority.
Key strength: early access to Max-tier reasoning with hybrid thinking and hybrid thinking that can switch between deliberate and direct responses.
As a preview model, behavior and availability may change. For stable production behavior matters, consider Qwen 3.7 Max.
Confirm preview availability, limits, and features in TokenHub before production.
Use one API key to access Qwen3.6 Max Preview and more AI models through TokenHub.
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