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Qwen3 Max

qwenqwen/qwen3-max

Flagship Qwen3 — top-tier reasoning and coding from Alibaba.

qwen3-max is Alibaba's flagship commercial model in the Qwen3 generation. It leads the Qwen lineup on reasoning, coding, math, and complex tool use, with a 256K context window for repo-scale code, long documents, and multi-turn agent traces.

TheRouter ships this model on both the mainland (bailian-cn) and Singapore (bailian-sg) Bailian endpoints. The selector picks the cheaper region per request so you get vendor-direct latency without manual region pinning.

Deep reasoning
Best-in-family reasoning, math, and tool-use scores. Comfortable with chain-of-thought-heavy prompts.
256K context
Fits a small repo or several long PDFs in a single request — no chunking gymnastics required.
Dual-region routing
Auto-selects between bailian-cn and bailian-sg per request based on cost — no client-side region logic.
OpenAI-compatible
Standard `/v1/chat/completions` shape including tools, JSON mode, and streaming.
When to use
High-stakes reasoning, complex coding tasks, repo-aware refactors, and agent workloads where Qwen-family quality matters and budget allows for a flagship-tier model.
When not to use
High-volume customer support, simple rewrites, or latency-critical autocomplete — drop down to qwen-plus or qwen-turbo for 10–20× lower cost.
Pricing: $1.50 input / $7.50 output per MTok. TheRouter routes to the cheaper of bailian-cn / bailian-sg per request.
Context Length
262K
Max Output
33K
Input Priceper 1M tokens
$1.80/ 1M tokens
Output Priceper 1M tokens
$9.00/ 1M tokens

Modalities

text→text

Pricing Breakdown

TypeRate
Input$1.80 / 1M tokens
Output$9.00 / 1M tokens

Supported Parameters

temperaturemax_tokenstop_ptoolstool_choiceresponse_formatstop

API Usage Examples

Use the global api.therouter.ai endpoint shown below for new integrations; the legacy China accelerated endpoint is retired.

cURL
curl https://api.therouter.ai/v1/chat/completions   -H "Content-Type: application/json"   -H "Authorization: Bearer $THE_ROUTER_API_KEY"   -d '{
    "model": "qwen/qwen3-max",
    "messages": [
      {"role": "user", "content": "Summarize the key points from this input."}
    ]
  }'
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