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Text Generation Model

Qwen3.6 Flash

Alibaba's fast, cost-efficient vision-language model with a 1M token context window, excelling at agentic coding, deep reasoning, and spatial visual understanding.

Publisher Qwen
Type Text
Context Window 1,000,000 tokens
Training Data April 2026
Input $0.25/MTok
Output $1.50/MTok
Provider Alibaba Cloud
LARGE CONTEXTREASONING

Qwen3.6 Flash

**Qwen3.6 Flash** is Alibaba's native vision-language Flash model, delivering a significant performance boost over the Qwen3.5-Flash generation while remaining fast and highly cost-efficient. This release is functionally equivalent to the `qwen3.6-flash-2026-04-16` snapshot. ### Key Capabilities - **Agentic coding**: Substantially outperforms its predecessor on multiple code-agent benchmarks, with strong improvements in mathematical and code reasoning - **Native vision-language understanding**: Accepts image, text, and video inputs with markedly improved spatial intelligence — especially in object localization and object detection - **Deep thinking mode**: Optional step-by-step reasoning (`enable_thinking`) for harder problems, with up to 983K input tokens supported in thinking mode - **Massive context**: 1M token context window with up to 991K maximum input and 64K maximum output - **Rich tooling**: Supports function calling, structured output, web search, code interpreter, prefix continuation, context caching, and batch processing ### Best Use Cases Qwen3.6 Flash is ideal for high-volume production workloads that need strong reasoning and multimodal understanding at a low price point — coding agents, document and video analysis, visual QA, long-context retrieval, and tool-using assistants.

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Parameters & options

Max Temperature 2
Max Response Size 64,000 tokens
Thinking Mode Select

When enabled, the model performs deep thinking before answering, improving performance on complex reasoning, math, and coding tasks. May increase response time and token usage.

Default: false
DisabledEnabled

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