Ling 3.2 Flash (free) é gratuito?

Sim. O preço mostrado nesta página para Ling 3.2 Flash (free) é zero, portanto você não paga por tokens de prompt ou de conclusão. Os endpoints gratuitos estão sujeitos a limites de taxa — consulte a documentação sobre limites de taxa.

Qual é o tamanho do contexto de Ling 3.2 Flash (free)?

Ling 3.2 Flash (free) tem uma janela de contexto de 1.048.576 tokens. Ele aceita até 262.144 tokens de conclusão.

Ling 3.2 Flash (free) oferece suporte a chamadas de ferramentas e saídas estruturadas?

Sim. Ling 3.2 Flash (free) aceita tools e tool_choice para chamadas de função. Também oferece suporte a saídas estruturadas por meio de um esquema JSON em response_format.

Quais entradas e saídas Ling 3.2 Flash (free) suporta?

Ling 3.2 Flash (free) aceita texto e imagens como entrada e retorna texto.

Quais provedores disponibilizam Ling 3.2 Flash (free)?

Ling 3.2 Flash (free) é servido por 1 provedor no OpenRouter: Ant Digital.

Que outros modelos de texto inclusionAI tem?

Ling 3.1 Flash, Ling 3.0 Flash VL, Ling 3.0 Tiny e mais 1 são outros modelos de texto de inclusionAI.

Quando Ling 3.2 Flash (free) foi lançado?

Ling 3.2 Flash (free) foi lançado em 13 de novembro de 2026.

inclusionAI: Ling 3.2 Flash (free)

inclusionai/ling-3.2-flash:free

Pesos do modelo

Comparar

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.

Modalidades

Preço

Gratuito

Contexto

1,0M

Lançado

13 de nov. de 2026

Provedores

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

Latência / taxa de transferência


	Gratuito	Gratuito	1,44s	33 tok/s	100,00%

Entrada GratuitoSaída Gratuito
33 tok/s100,00% de disponibilidade

Disponibilidade

A disponibilidade é a porcentagem dos últimos 3 dias em que pelo menos um provedor estava respondendo às solicitações. A disponibilidade é a porcentagem de tempo em que a inferência foi realizada com sucesso. O OpenRouter monitora continuamente e usa o próximo melhor provedor quando um deles retorna um erro.

Disponibilidade nas últimas 24 horas

OpenRouter Availability

99,47%

Quando ocorre um erro em um provedor upstream, podemos nos recuperar roteando para outro provedor saudável, se os filtros da sua solicitação permitirem. Você pode acessar os dados de disponibilidade por provedor de forma programática pela API de endpoints. Saiba mais sobre nossas opções de balanceamento de carga e roteamento de provedores.

Aplicativos

Aplicativos públicos que enviam mais tráfego para este modelo. Um bom indicador de como são as cargas de trabalho reais em produção — e uma pista sobre os casos de uso para os quais este modelo é mais adequado.

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Atualmente indisponível por meio do roteamento intrarregional da UE. Documentação de roteamento na região

Mais modelos de inclusionai

Ling 3.2 Flash (free)

TextoContexto de 1,0MFree

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.

TextoContexto de 1MUS$ 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.

Imagem

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.

Imagem

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.

TextoContexto de 131KUS$ 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.

TextoContexto de 262K

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.

TextoContexto de 262K

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.

TextoContexto de 262KUS$ 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.

TextoContexto de 262KUS$ 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.

TextoContexto de 262K

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.

TextoContexto de 262K

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.

TextoContexto de 262K

inclusionAI: Ling 3.2 Flash (free)

Provedores

Desempenho

Disponibilidade

Disponibilidade nas últimas 24 horas

Aplicativos

Atividade

API

Perguntas frequentes

Explorar mais modelos

Mais modelos de inclusionai

Mais modelos de inclusionai

inclusionAI: Ling 3.2 Flash (free)

Provedores

Desempenho

Disponibilidade

Disponibilidade nas últimas 24 horas

Aplicativos

Atividade

API

Perguntas frequentes

O que é Ling 3.2 Flash (free)?

Ling 3.2 Flash (free) é gratuito?

Qual é o tamanho do contexto de Ling 3.2 Flash (free)?

Ling 3.2 Flash (free) oferece suporte a chamadas de ferramentas e saídas estruturadas?

Quais entradas e saídas Ling 3.2 Flash (free) suporta?

Quais provedores disponibilizam Ling 3.2 Flash (free)?

Que outros modelos de texto inclusionAI tem?

Quando Ling 3.2 Flash (free) foi lançado?

Explorar mais modelos

Mais modelos de inclusionai

Mais modelos de inclusionai