Model detail
qwen3.5-plus
A native vision-language Qwen model using hybrid linear attention and sparse mixture-of-experts architecture for text, image, and video understanding.
Model specs
- Model ID
-
qwen3.5-plus
- Context length
- 1M
- Max output
- 65.536K
- I/O modalities
- Released
- 2026-02
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API endpoints
One MixRoute gateway, OpenAI-compatible
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OpenAI-compatible
/v1/chat/completionsPOST
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Tiered pricing
Unit: /1M Tokens
| Tier | Input /1M Tokens | Output /1M Tokens | Cache read /1M Tokens | Cache write /1M Tokens |
|---|---|---|---|---|
| short Length ≤ 256K | $0.4000 | $2.4000 | $0.0400 | $0.5000 |
| long Length > 256K | $0.5000 | $3.0000 | $0.0500 | $0.6250 |
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Selection summary
Quickly judge whether it fits your workload
What is this model good for?
A native vision-language Qwen model using hybrid linear attention
A native vision-language Qwen model using hybrid linear attention and sparse mixture-of-experts architecture for text, image, and video understanding.
What should you check before using it?
1,000,000 context, 65,536 output tokens
Alibaba model that supports reasoning, tool calling and structured output. Knowledge cutoff: 2025-04. Released 2026-02-15.
Why use it through MixRoute?
qwen3.5-plus keeps its 1,000,000-token context on one route
The full 1,000,000-token context stays reachable on the same route. MixRoute serves qwen3.5-plus on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID qwen3.5-plus and re-run your integration tests.
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Capabilities & compatibility
Unconfirmed capabilities stay "Unknown," no guesses
Tool calling
qwen3.5-plus supports function and tool calls.
tools definition; the response returns tool_calls to execute and feed results back.
Structured output
qwen3.5-plus can produce JSON-formatted output on demand.
response_format: { type: "json_schema" } forces valid JSON output.
Streaming
qwen3.5-plus supports streamed responses.
stream: true streams tokens incrementally, so chat UIs render as they arrive.
Prompt caching
qwen3.5-plus supports prompt caching under supported routing conditions.
Vision input
qwen3.5-plus can process image inputs alongside text.
image_url content part alongside text messages.
OpenAI SDK
Call qwen3.5-plus through MixRoute's OpenAI-compatible endpoint.
base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.
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Token cost estimator
Live estimate from this page's pricing, not an actual bill
Share of the same prefix read repeatedly, up to 100%
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FAQ
qwen3.5-plus was released on 2026-02-15. Its catalog status is stable. Check the model page for deprecation notices before you build a long-lived integration on it.
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.