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qwen3 max

Input:$0.8/M
Output:$3.2/M
- qwen3-max: Alibaba Tongyi Qianwen team's latest Qwen3-Max model, positioned as the series' performance peak. - 🧠 Powerful Multimodal and Inference: Supports ultra-long context (up to 128k tokens) and Multimodal input, excels at complex Inference, code generation, translation, and creative content. - ⚡️ Breakthrough Improvement: Significantly optimized across multiple technical indicators, faster response speed, knowledge cutoff up to 2025, suitable for enterprise-level high-precision AI applications.
Commercial Use
Playground
Overview
Features
Pricing
API
Versions

technical specifications of Qwen 3-max

FieldValue / notes
Official model name / versionqwen3-max-2026-01-23 (Qwen3-Max; “Thinking” variant available).
Parameter scale> 1 trillion parameters (trillion-parameter flagship).
ArchitectureQwen3 family design; mixture-of-experts (MoE) techniques used across the Qwen3 lineup for efficiency; specialized “thinking” / reasoning mode described.
Training data volumeReported ~36 trillion tokens (pretraining mixture reported in Qwen3 technical materials).
Native context length32,768 tokens native; validated methods (e.g., RoPE/YaRN) reported to extend behavior to much longer windows in experiments.
Typical supported modalitiesText and multimodal extensions in the Qwen3 family (image editing/vision variants exist); Qwen3-Max focuses on text + agent/tool integration for inference.
ModesThinking (step-by-step reasoning / tool use) and Non-thinking (fast instruct). Snapshot explicitly supports built-in tools.

What is Qwen3-Max

Qwen3-Max is the high-capability tier in the Qwen3 generation: an inference-focused model engineered for complex reasoning, tool/agent workflows, retrieval-augmented generation (RAG), and long-context tasks. The “Thinking” design enables step-by-step chain-of-thought (CoT) style outputs when required, while non-thinking modes provide lower-latency responses. The 2026-01-23 snapshot emphasized built-in tool calling and enterprise inference readiness.

Main features of Qwen3-Max

  • Frontier reasoning (“Thinking” mode): A reasoning/“thinking” inference mode designed to produce stepwise traces and improved multi-step reasoning accuracy.
  • Trillion-parameter scale: Flagship scale intended to lift performance across reasoning, code, and alignment-sensitive tasks.
  • Long context (32K native): Native 32,768 token window; validated techniques reported to handle longer contexts in specific settings. Good for long documents, multi-document summarization, and large agent state.
  • Agent/tool integration: Designed to more effectively call external tools, decide when to search or execute code, and orchestrate multi-step agent flows for enterprise tasks.
  • Multilingual and coding strength: Trained on a massive multilingual corpus with strong performance in programming and code generation tasks.

Benchmark performance of Qwen3-Max

qwen3 max

Qwen3-Max Compare to selected contemporaries

  • Versus GPT-5.2 (OpenAI) — Press comparisons position Qwen3-Max-Thinking as competitive on multi-step reasoning benchmarks when tool use is enabled; absolute ranking varies by benchmark and protocol. Qwen’s price/token tiers appear positioned to be competitive for heavy agent/RAG use.
  • Versus Gemini 3 Pro (Google) — Some public comparisons (HLE) show Qwen3-Max-Thinking outperforming Gemini 3 Pro on specific reasoning evaluations; again, results depend heavily on tool enabling and methodology.
  • Versus Anthropic (Claude) and other providers — Qwen3-Max-Thinking is reported to match or exceed some Anthropic/Claude variants on subsets of reasoning and multi-domain benchmarks in press coverage; independent benchmark suites show mixed outcomes across datasets.

Takeaway: Qwen3-Max-Thinking is presented publicly as a frontier reasoning model that narrows or closes the gap with leading Western closed-source models on several benchmarks — particularly in tool-enabled, long-context, and agentic settings. Validate with your own benchmarks and with the exact snapshot and inference configuration before committing to one model for production.

Typical / recommended use cases

  • Enterprise agents and tool-enabled workflows (automation with web search, DB calls, calculators) — snapshot explicitly supports built-in tools.
  • Long-document summarization, legal/medical document analysis — large context windows make Qwen3-Max suitable for long-form RAG tasks.
  • Complex reasoning and multi-step problem solving (math, code reasoning, research assistants) — the Thinking mode targets chain-of-thought style workflows.
  • Multilingual production — broad language coverage supports global deployments and non-English pipelines.
  • High-throughput inference with cost optimization — choose model family (MoE vs dense) and snapshot appropriate to latency/cost needs.

How to access Qwen3-max API via CometAPI

Step 1: Sign Up for API Key

Log in to cometapi.com. If you are not our user yet, please register first. Sign into your CometAPI console. Get the access credential API key of the interface. Click “Add Token” at the API token in the personal center, get the token key: sk-xxxxx and submit.

cometapi-key

Step 2: Send Requests to Qwen3-max API

Select the “qwen3-max-2026-01-23” endpoint to send the API request and set the request body. The request method and request body are obtained from our website API doc. Our website also provides Apifox test for your convenience. Replace with your actual CometAPI key from your account. base url is Chat Completions.

Insert your question or request into the content field—this is what the model will respond to . Process the API response to get the generated answer.

Step 3: Retrieve and Verify Results

Process the API response to get the generated answer. After processing, the API responds with the task status and output data.

Features for qwen3 max

Explore the key features of qwen3 max, designed to enhance performance and usability. Discover how these capabilities can benefit your projects and improve user experience.

Pricing for qwen3 max

Explore competitive pricing for qwen3 max, designed to fit various budgets and usage needs. Our flexible plans ensure you only pay for what you use, making it easy to scale as your requirements grow. Discover how qwen3 max can enhance your projects while keeping costs manageable.
Comet Price (USD / M Tokens)Official Price (USD / M Tokens)Discount
Input:$0.8/M
Output:$3.2/M
Input:$1/M
Output:$4/M
-20%

Sample code and API for qwen3 max

Access comprehensive sample code and API resources for qwen3 max to streamline your integration process. Our detailed documentation provides step-by-step guidance, helping you leverage the full potential of qwen3 max in your projects.
Python
JavaScript
Curl
from openai import OpenAI
import os

# Get your CometAPI key from https://api.cometapi.com/console/token, and paste it here
COMETAPI_KEY = os.environ.get("COMETAPI_KEY") or "<YOUR_COMETAPI_KEY>"
BASE_URL = "https://api.cometapi.com/v1"

client = OpenAI(base_url=BASE_URL, api_key=COMETAPI_KEY)

completion = client.chat.completions.create(
    model="qwen3-max-2026-01-23",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Hello!"},
    ],
)

print(completion.choices[0].message.content)

Versions of qwen3 max

The reason qwen3 max has multiple snapshots may include potential factors such as variations in output after updates requiring older snapshots for consistency, providing developers a transition period for adaptation and migration, and different snapshots corresponding to global or regional endpoints to optimize user experience. For detailed differences between versions, please refer to the official documentation.
Model idDescriptionAvailabilityRequest
qwen3-max-2026-01-23Compared to the snapshot dated September 23, 2025, this version of the Tongyi Qianwen 3 series Max model effectively integrates thinking and non-thinking modes, resulting in a comprehensive and significant improvement in overall model performance. In thinking mode, it simultaneously releases web search, web information extraction, and code interpreter tools, enabling the model to solve more challenging problems with greater accuracy by introducing external tools while thinking more slowly. This version is based on the snapshot dated January 23, 2026.✅Chat format
qwen3-maxCompared to the preview version, the Tongyi Qianwen 3 series Max model has undergone specific upgrades in agent programming and tool invocation. The officially released model reaches the domain's state-of-the-art (SOTA) level, adapting to more complex agent requirements.✅Chat format
qwen3-max-previewThe Tongyi Qianwen 3 series Max model Preview version effectively integrates thinking and non-thinking modes. In thinking mode, it significantly enhances capabilities in agent programming, common-sense reasoning, and mathematical/scientific/general reasoning.✅Chat format

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