Model detail
qwen3-max
Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail knowledge coverage compared to the January 2025 version. It delivers higher accuracy in math, coding, logic, and science tasks, follows complex instructions in Chinese and English more reliably, reduces hallucinations, and produces higher-quality responses for open-ended Q&A, writing, and conversation. The model supports over 100 languages with stronger translation and commonsense reasoning, and is optimized for retrieval-augmented generation (RAG) and tool calling, though it does not include a dedicated “thinking” mode.
Model specs
- Model ID
-
qwen3-max
- Context length
- 262.144K
- Max output
- 65.536K
- I/O modalities
- Released
- 2025-09
02
API endpoints
One MixRoute gateway, OpenAI-compatible
-
OpenAI-compatible
/v1/chat/completionsPOST
03
Tiered pricing
Unit: /1M Tokens
| Tier | Input /1M Tokens | Output /1M Tokens | Cache read /1M Tokens | Cache write /1M Tokens |
|---|---|---|---|---|
| short Length ≤ 32K | $1.2000 | $6.0000 | $0.2400 | $1.5000 |
| mid (!(p <= 32000)) && (p <= 128000) | $2.4000 | $12.0000 | $0.4800 | $3.0000 |
| long (!(p <= 32000)) && (!(p <= 128000)) | $3.0000 | $15.0000 | $0.6000 | $3.7500 |
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Selection summary
Quickly judge whether it fits your workload
What is this model good for?
Updated release built on the Qwen3 series, offering major improvements in reasoning
Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail knowledge coverage compared to the January 2025 version.
What should you check before using it?
262,144 context, 65,536 output tokens
Alibaba model that supports reasoning, tool calling and structured output. Knowledge cutoff: 2025-06-30. Released 2025-09-24.
Why use it through MixRoute?
Swap the base URL, keep the qwen3-max client
MixRoute serves qwen3-max on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID qwen3-max and re-run your integration tests.
07
Capabilities & compatibility
Unconfirmed capabilities stay "Unknown," no guesses
Tool calling
qwen3-max supports function and tool calls.
tools definition; the response returns tool_calls to execute and feed results back.
Structured output
qwen3-max can produce JSON-formatted output on demand.
response_format: { type: "json_schema" } forces valid JSON output.
Streaming
qwen3-max supports streamed responses.
stream: true streams tokens incrementally, so chat UIs render as they arrive.
Prompt caching
qwen3-max supports prompt caching under supported routing conditions.
OpenAI SDK
Call qwen3-max through MixRoute's OpenAI-compatible endpoint.
base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.
09
FAQ
Before switching production traffic to qwen3-max, run a pilot on a representative slice of your traffic and check output quality, latency at peak concurrency, and cost per request. Verify the error and retry behaviour, and confirm the request limits you depend on match your plan.
One endpoint, a testable decision
Test this model and alternate routes with the same request format
Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.