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qwen3.8-flash

Qwen3.8 Flash / チャット

Commercial
ID: qwen3.8-flash

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

入力$0.15/ 1M Tokens(150 クレジット)
出力$0.47/ 1M Tokens(470 クレジット)
0.7
0.95

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Chat 会話

Playground Chat

AIモデルとの会話を開始します。何でも質問できます。

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Frontier Flagship Intelligence • 128K Context • SOTA Reasoning

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.

Alibaba Cloud Frontier Architecture
Enterprise SLA & Sandboxed Execution
Qwen 3.8 Max Flagship Performance
Capability Highlights

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.

Polyglot ArchitectureMulti-File DebuggingSandboxed Evaluation
Qwen 3.8 Max Code Interpreter
Qwen 3.8 Max Long Context Retrieval

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.

128K Needle In HaystackFull Codebase IngestionZero Context Drift

Enterprise & Developer Use Cases

Proven cognitive capability across production engineering, financial analytics, and autonomous agent ecosystems.

Software Development

Autonomous Code & Systems Engineering

Refactor complex distributed codebases, design resilient microservice architectures, and localize multi-file bugs across Rust, Go, TypeScript, C++, and Python.

Polyglot Architecture
Agentic Automation

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.

Agent Orchestration
Context Retrieval

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.

128K Needle Recall
Scientific Computation

Quantitative Modeling & Formal Logic

Derive advanced mathematical proofs, calculate multi-variable actuarial distributions, and evaluate competitive programming algorithms with step-by-step verification.

Mathematical Logic

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 IDAlibaba Cloud (Qwen Team) • qwen3.8-max
API ProtocolOpenAI-Compatible POST /v1/chat/completions
Context Window Size128,000 Tokens (Ultra-Long Document & Repo Ingestion)
Max Output TokensUp to 8,192 Tokens per response
Agentic Tool CallingParallel Function Calling, ReAct Orchestration, Sandboxed Code Exec
Decoding Controlstemperature (0.0-2.0), top_p (0.0-1.0), presence_penalty, frequency_penalty
Structured OutputsStrict JSON Schema adherence (response_format: { type: "json_object" })
Streaming ProtocolServer-Sent Events (SSE) streaming format with chunk delta emission
Reasoning ParadigmChain-of-Thought (CoT), formal algorithmic synthesis, logic trees
Enterprise SLA99.9% uptime, high-throughput dedicated clusters, enterprise data privacy

料金詳細

このモデルの実際の課金は、API リクエストで渡される特定のパラメータに基づいて動的に計算されます。以下は具体的な組み合わせとそれに対応する料金です:

Standard
入力価格
$0.150(150 / 1M Tokens)
出力価格
$0.470(470 / 1M Tokens)
暗黙的キャッシュヒット
$0.016(16/ 1M Tokens)
明示的キャッシュヒット
$0.016(16/ 1M Tokens)
キャッシュ作成
$0.200(200/ 1M Tokens)
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Frequently Asked Questions

Comprehensive answers regarding Qwen 3.8 Max enterprise integration, tool execution, and context limits.

Qwen 3.8 Max is Alibaba’s premier frontier foundation language model. Trained on extensive synthetic and real-world reasoning corpora, it ranks at the global frontier on reasoning benchmarks (MMLU-Pro, MATH, HumanEval, and AgentBench), outperforming previous generations in complex code interpretation and multi-step tool use.

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