Model detail
qwen3.6-plus
Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers major gains in agentic coding, front-end development, and overall reasoning, with a significantly improved “vibe coding” experience. The model excels at complex tasks such as 3D scenes, games, and repository-level problem solving, achieving a 78.8 score on SWE-bench Verified. It represents a substantial leap in both pure-text and multimodal capabilities, performing at the level of leading state-of-the-art models.
Model specs
- Model ID
-
qwen3.6-plus
- Context length
- 1M
- Max output
- 65.536K
- I/O modalities
- Released
- 2026-04
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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 | $0.5000 | $3.0000 | $0.0500 | $0.6250 |
| long Length > 256K | $2.0000 | $6.0000 | $0.2000 | $2.5000 |
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Selection summary
Quickly judge whether it fits your workload
What is this model good for?
Qwen 3.6 Plus builds on a hybrid architecture
Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference.
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 2026-04-01.
Why use it through MixRoute?
qwen3.6-plus cache reads cut repeated-prompt cost
Cached prefixes are billed at $0.0500 per 1M tokens for inputs up to 256,000 tokens (standard input $0.5000); above that, $0.2000 and $2.0000 respectively, so repeated system prompts cost less. MixRoute serves qwen3.6-plus on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID qwen3.6-plus and re-run your integration tests.
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Capabilities & compatibility
Unconfirmed capabilities stay "Unknown," no guesses
Tool calling
qwen3.6-plus supports function and tool calls.
tools definition; the response returns tool_calls to execute and feed results back.
Structured output
qwen3.6-plus can produce JSON-formatted output on demand.
response_format: { type: "json_schema" } forces valid JSON output.
Streaming
qwen3.6-plus supports streamed responses.
stream: true streams tokens incrementally, so chat UIs render as they arrive.
Prompt caching
qwen3.6-plus supports prompt caching under supported routing conditions.
Vision input
qwen3.6-plus can process image inputs alongside text.
image_url content part alongside text messages.
OpenAI SDK
Call qwen3.6-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
qwen3.6-plus is a reasoning model. Reasoning effort can be tuned per request. Lower effort settings cut reasoning tokens and cost for routine work; reserve higher settings for problems that need deeper search. Measure quality at two or three settings before fixing one in production.
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.