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Model details

Qwen3.6 Plus

Released as part of the Qwen3.6 generation, Qwen3.6 Plus is positioned by its creators as a major capability upgrade over the earlier Qwen3.5-Plus, built directly on community feedback from that deployment. The model is framed as a stable, reliable foundation for downstream applications rather than a research preview, with its developers emphasizing consistency for production use. Multimodal perception is a central focus, with the official announcement highlighting sharper multimodal reasoning that lets the model interpret visual and other non-text inputs more accurately alongside text. This multimodal grounding is paired with a markedly expanded default that quick-info value window, enabling the model to handle very long documents, code repositories, and mixed-media prompts without losing thread.

The standout practical strength of Qwen3.6 Plus is its agentic coding ability, which its makers describe as setting a new state-of-the-art standard for the family. Improvements span the full range of software tasks, from frontend web development to complex repository-level problem solving, making the model well suited to "vibe coding" experiences where developers iterate conversationally with an assistant that can plan, edit, and verify multi-file changes. Combined with tool calling and reasoning support, this coding focus makes Qwen3.6 Plus a strong fit for teams building agent-driven IDEs, automation pipelines, and code-aware assistants that need long-context awareness, multimodal inputs, and reliable instruction following in a single hosted model.

OpenCode Goqwen3.6-plusqwen3.6deprecated

Quick Info

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Provider
OpenCode Go
Model key
qwen3.6-plus
Release date
Apr 2, 2026
Last updated
Apr 2, 2026
Knowledge cutoff
2025-04
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.50
Output token cost
$3.00

Limits

Output tokens
65,536 tokens
Context window
1,000,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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