Qwen3.8 Flash / 채팅
Alibaba's cost-efficient multimodal reasoning model. Supports text, image, and video inputs with text output. Features a native 1M-token context window for long documents, codebases, and agentic workflows. Excels in coding assistance, desktop interaction, chart analysis, and long-video understanding. Compatible with OpenAI/Anthropic protocols for seamless integration
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Qwen 3.8 MaxPremier Frontier Reasoning, Coding & Agentic Intelligence
Qwen 3.8 Max is Alibaba Cloud’s most capable LLM, delivering state-of-the-art performance across mathematical logic, polyglot software architecture, 128K token retrieval, and autonomous multi-agent tool execution.
Key Architectural Highlights of Qwen 3.8 Max
Engineered from the ground up for high-complexity enterprise tasks, autonomous tool orchestration, and deep cognitive reasoning.
Autonomous Sandboxed Code Execution & Debugging
Capable of multi-step algorithm design, sandboxed code execution simulation, automated bug localization, and complex system refactoring across Python, Rust, Go, C++, and TypeScript.
128K Ultra-Long Context with Near-Zero Loss Recall
Ingest hundreds of pages of documentation, complex enterprise SDKs, or extensive logs in a single prompt. Qwen 3.8 Max delivers 99.8% precision across extreme long-context needle benchmarks without context drift.
Enterprise & Developer Use Cases
Proven cognitive capability across production engineering, financial analytics, and autonomous agent ecosystems.
Autonomous Code & Systems Engineering
Refactor complex distributed codebases, design resilient microservice architectures, and localize multi-file bugs across Rust, Go, TypeScript, C++, and Python.
Enterprise Autonomous Agents & Tool Use
Execute multi-step ReAct loops, invoke external REST APIs in parallel, validate dynamic schemas, and synthesize multi-modal database responses with zero hallucination.
128K Ultra-Long Document Intelligence
Ingest entire regulatory filings, massive API documentation suites, and year-long customer communication logs with 99.8% precision needle recall.
Quantitative Modeling & Formal Logic
Derive advanced mathematical proofs, calculate multi-variable actuarial distributions, and evaluate competitive programming algorithms with step-by-step verification.
Multi-Language Integration Code
Production-ready snippets for cURL, Python, Node.js, and TypeScript.
curl -X POST "https://api.powertokens.ai/v1/chat/completions" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3.8-max",
"messages": [
{
"role": "system",
"content": "You are a senior distributed systems architect. Provide concise, production-ready solutions."
},
{
"role": "user",
"content": "Design a distributed consensus cluster with Raft algorithm in Rust, including heartbeats and log replication state machines."
}
],
"temperature": 0.2,
"top_p": 0.8,
"max_completion_tokens": 4096,
"stream": true
}'Technical Specifications & Parameter Reference
Accurately extracted and verified against Qwen 3.8 Max OpenAI-compatible endpoint specifications.
| Provider & Model ID | Alibaba Cloud (Qwen Team) • qwen3.8-max |
| API Protocol | OpenAI-Compatible POST /v1/chat/completions |
| Context Window Size | 128,000 Tokens (Ultra-Long Document & Repo Ingestion) |
| Max Output Tokens | Up to 8,192 Tokens per response |
| Agentic Tool Calling | Parallel Function Calling, ReAct Orchestration, Sandboxed Code Exec |
| Decoding Controls | temperature (0.0-2.0), top_p (0.0-1.0), presence_penalty, frequency_penalty |
| Structured Outputs | Strict JSON Schema adherence (response_format: { type: "json_object" }) |
| Streaming Protocol | Server-Sent Events (SSE) streaming format with chunk delta emission |
| Reasoning Paradigm | Chain-of-Thought (CoT), formal algorithmic synthesis, logic trees |
| Enterprise SLA | 99.9% uptime, high-throughput dedicated clusters, enterprise data privacy |
가격 상세
이 모델의 실제 요금은 API 요청에서 전달된 특정 매개변수를 기반으로 동적으로 계산됩니다. 아래는 구체적인 조합과 해당 가격입니다:
| 모달리티 | 입력 크레딧 | 출력 크레딧 | 입력 가격 | 출력 가격 | 암시적 캐시 적중 | 명시적 캐시 적중 | 캐시 생성 |
|---|---|---|---|---|---|---|---|
| Standard | 150/ 1M Tokens | 470/ 1M Tokens | $0.150 | $0.470 | $0.016 16/ 1M Tokens | $0.016 16/ 1M Tokens | $0.200 200/ 1M Tokens |
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The Qwen3.6 native vision-language Plus series models demonstrate exceptional performance on par with the current state-of-the-art models, with a significant improvement in overall results compared to the 3.5 series. The models have been markedly enhanced in code-related capabilities such as agentic coding, front-end programming, and Vibe coding, as well as in multi-modal general object recognition, OCR, and object localization.
Qwen3.5 Flash
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The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance.
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Frequently Asked Questions
Comprehensive answers regarding Qwen 3.8 Max enterprise integration, tool execution, and context limits.
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