Ling 3.2 Flash (free) 免费吗？

是的。此页面显示的 Ling 3.2 Flash (free) 定价为零，因此您无需为提示或补全 token 付费。免费端点受速率限制约束，请参阅速率限制文档。

Ling 3.2 Flash (free) 的上下文长度是多少？

Ling 3.2 Flash (free) 的上下文窗口为 1,048,576 个 token。它最多支持 262,144 个补全 token。

Ling 3.2 Flash (free) 是否支持工具调用和结构化输出？

是的。Ling 3.2 Flash (free) 接受 tools 和 tool_choice，以进行函数调用。它还支持通过 response_format 中的 JSON schema 实现结构化输出。

Ling 3.2 Flash (free) 支持哪些输入和输出？

Ling 3.2 Flash (free) 接受文本和图像作为输入，并返回文本。

哪些提供商提供 Ling 3.2 Flash (free) 服务？

在 OpenRouter 上，Ling 3.2 Flash (free) 由 1 家提供商提供服务：Ant Digital。

inclusionAI 还有哪些文本模型？

Ling 3.1 Flash, Ling 3.0 Flash VL, Ling 3.0 Tiny 及另外 1 个是 inclusionAI 的其他文本模型。

Ling 3.2 Flash (free) 是何时发布的？

Ling 3.2 Flash (free) 于 2026年11月13日发布。

inclusionAI: Ling 3.2 Flash (free)

Q: Ling 3.2 Flash (free) 免费吗？

是的。此页面显示的 Ling 3.2 Flash (free) 定价为零，因此您无需为 提示或补全 token 付费。免费端点受速率限制约束，请参阅速率限制文档。

Q: Ling 3.2 Flash (free) 是否支持工具调用和结构化输出？

是的。Ling 3.2 Flash (free) 接受 tools 和 tool_choice，以进行函数调用。 它还支持通过 response_format 中的 JSON schema 实现结构化输出。

Q: Ling 3.2 Flash (free) 支持哪些输入和输出？

Ling 3.2 Flash (free) 接受 文本和图像 作为输入，并返回 文本。

Q: inclusionAI 还有哪些 文本 模型？

Ling 3.1 Flash, Ling 3.0 Flash VL, Ling 3.0 Tiny 及另外 1 个 是 inclusionAI 的其他 文本 模型。

Q: Ling 3.2 Flash (free) 是何时发布的？

Ling 3.2 Flash (free) 于 2026年11月13日 发布。

inclusionai/ling-3.2-flash:free

模型权重

比较

Ling 3.2 Flash is a hybrid reasoning model from inclusionAI that accepts text and image input, with a 1M-token context window and up to 200 images per request. Thinking can be switched off per request.

模态

价格

免费

上下文

1.0M

发布时间

2026年11月13日

提供商

This model is hosted by one provider. OpenRouter forwards every request without routing.

延迟 / 吞吐量


	免费	免费	1.43s	33 tok/s	100.00%

输入免费输出免费
33 tok/s100.00% 正常运行时间

正常运行时间

正常运行时间是指过去 3 天中至少有一家提供商响应请求的时间百分比。可用性是指成功提供推理服务的时间百分比。OpenRouter 会持续监控，并在某家提供商返回错误时使用次优提供商。

过去 24 小时的可用性

OpenRouter Availability

99.51%

当上游提供商发生错误时，如果您的请求筛选条件允许，我们可以通过路由到另一家健康的提供商来恢复服务。您可以通过以下接口以编程方式访问各提供商的正常运行时间数据：端点 API。了解更多有关我们的负载均衡和提供商路由选项。

应用

向此模型发送最多流量的公开应用。这能很好地反映实际生产工作负载的情况，也能提示此模型最适合哪些用例。

Kilo Code

Kilo Code is an open-source AI coding agent that works across VS Code, JetBrains, and CLI to help developers ship code faster with agentic workflows.

96.9Mtoken

OpenClaw

OpenClaw is an open-source AI agent that connects to your messaging apps and takes real actions on your behalf, from running commands and browsing the web to managing files and sending emails.

28.4Mtoken

Hermes Agent

Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.

21.5Mtoken

Claude Code

Claude Code is Anthropic's agentic coding tool that reads your entire codebase, plans and executes changes across files, runs tests, and iterates on failures, all from natural language prompts.

13.4Mtoken

DeepSeek Harness

新增

9.51Mtoken

前 5 大应用

170M

OpenRouter 的其他部分

163M

目前无法通过 EU 区域内路由使用。区域内路由文档

更多模型，来自 inclusionai

Ling 3.2 Flash (free)

文本1.0M 上下文Free

Ling 3.1 Flash

Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.

文本1M 上下文US$0.045 / US$0.135

Ming Image 0.1 Design Layer

Ming Image 0.1 Design Layer is an image-to-image model from inclusionAI that decomposes a flattened design image into separate RGBA layers, such as a background layer and foreground elements, and returns one image per layer. It requires exactly one reference image and a prompt describing the layer plan. Output format can be requested as PNG or WebP. Output dimensions follow the input image, so explicit sizes and aspect ratios are rejected instead of silently reshaped.

图像

Ming Image 0.1 Design

Ming Image 0.1 Design is a text-to-image model from inclusionAI aimed at graphic-design output, with an emphasis on legible text rendering inside the generated image. It generates from a prompt only and does not accept reference images. Output format can be requested as PNG, JPEG, or WebP. Image dimensions are chosen by the model rather than by the request, so explicit sizes and aspect ratios are rejected instead of silently reshaped.

图像

Ling 3.0 Flash VL

Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual agent capabilities. Hybrid instant/reasoning model with tool calling.

文本131K 上下文US$0.06 / US$0.18

Ling 3.0 Flash Sante

Ling 3.0 Flash Sante is a health and medicine-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for medical knowledge reasoning, clinical safety, evidence-based retrieval, and long-horizon medical tasks, while retaining general capabilities in reasoning, coding, and agentic tasks.

文本262K 上下文

Ling 3.0 Flash Fin

Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment workflows that require complex multi-step tasks and long-horizon planning and execution, while retaining general capabilities in reasoning, coding, and mathematics.

文本262K 上下文

Ling 3.0 Tiny

Ling 3.0 Tiny is a mixture-of-experts model from InclusionAI, with 1.3B active parameters out of 7.9B total. It is designed for responsive agents, instruction following, and multi-turn conversations, with switchable thinking and instant modes.

文本262K 上下文US$0.015 / US$0.045

Ling 3.0 Flash

Ling-3.0-flash is a 124B-parameter Mixture-of-Experts (MoE) model, with approximately 5.1B parameters activated per token.

The model is designed with token efficiency and production-scale agentic inference as key priorities, enabling developers to complete more useful work within constrained token, latency, and serving-cost budgets.

文本262K 上下文US$0.021 / US$0.063

Ring-2.6-1T

Ring-2.6-1T is a 1T-parameter-scale thinking model with 63B active parameters, built for real-world agent workflows that require both strong capability and operational efficiency. It is optimized for coding agents, tool use, and long-horizon task execution, delivering leading results on benchmarks including PinchBench, ClawEval, TAU2-Bench, and GAIA2-search.

With adaptive reasoning effort across high and xhigh modes, Ring-2.6-1T dynamically allocates reasoning budget based on task complexity. This enables stronger performance with lower token overhead, especially in tool-heavy and multi-turn agent workflows.

Ring-2.6-1T is designed for advanced coding agents, complex reasoning pipelines, and large-scale autonomous systems where execution quality, latency, and cost efficiency all matter.

文本262K 上下文

Ling-2.6-1T

Ling-2.6-1T is an instant (instruct) model from inclusionAI and the company’s trillion-parameter flagship, designed for real-world agents that require fast execution and high efficiency at scale. It uses a “fast thinking” approach to reduce costs to roughly a quarter of comparable models while maintaining top-tier performance.

The model achieves state-of-the-art results on benchmarks such as AIME26 and SWE-bench Verified, and is well suited for advanced coding, complex reasoning, and large-scale agent workflows where both capability and efficiency are critical.

文本262K 上下文

Ling-2.6-flash

Ling-2.6-flash is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, designed for real-world agents that require fast responses, strong execution, and high token efficiency. It delivers performance comparable to state-of-the-art models at a similar scale while significantly reducing token usage across coding, document processing, and lightweight agent workflows.

文本262K 上下文

inclusionAI: Ling 3.2 Flash (free)

提供商

性能

正常运行时间

过去 24 小时的可用性

应用

活动

API

常见问题

探索更多模型

更多模型，来自 inclusionai

更多模型，来自 inclusionai

inclusionAI: Ling 3.2 Flash (free)

提供商

性能

正常运行时间

过去 24 小时的可用性

应用

活动

API

常见问题

什么是 Ling 3.2 Flash (free)？

Ling 3.2 Flash (free) 免费吗？

Ling 3.2 Flash (free) 的上下文长度是多少？

Ling 3.2 Flash (free) 是否支持工具调用和结构化输出？

Ling 3.2 Flash (free) 支持哪些输入和输出？

哪些提供商提供 Ling 3.2 Flash (free) 服务？

inclusionAI 还有哪些 文本 模型？

Ling 3.2 Flash (free) 是何时发布的？

探索更多模型

更多模型，来自 inclusionai

更多模型，来自 inclusionai