Tasks and inputs
Qwen3.8 Flash Next is listed for Image-text-to-text, Text generation, Video-text-to-text. It accepts text, image, video and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 13, 2026
Qwen3.8 Flash Next is an experimental multimodal checkpoint using a hybrid attention architecture for efficient long-context work.
The specification score summarizes recorded features and limits. It is not a benchmark result.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
Qwen3.8 Flash Next is an experimental multimodal checkpoint using a hybrid attention architecture for efficient long-context work.
The publisher describes a 125B model with about 6B active parameters and a separate 51B n-gram table. These figures describe different parts of the architecture and should not be read as a small dense-model footprint. The release uses the Qwen Community licence and supports text, images and video. It is a preview of an experimental architecture rather than simply a quantized copy of a previous Qwen model.
The native context is 262,144 tokens. The card describes extension to one million tokens through serving configuration. Thinking and preserved-thinking settings can be configured independently. The managed Qwen3.8 Flash service is based on this checkpoint but adds its own interface, tools and operational features.
Try a long tool conversation that revisits an earlier decision, then a short visual question that requires reading a supplied image. Keep conversation history in the form expected by the chat template. Check whether the model still uses earlier constraints after several tool responses. For video input, record the sampling configuration so two runs see the same evidence. Measure memory use and time to first useful output at your expected concurrency, rather than inferring serving performance from the active parameter count. Confirm engine support for the n-gram component before committing to a deployment.
Compare the model on the work you need to complete.
Qwen3.8 Flash Next is listed for Image-text-to-text, Text generation, Video-text-to-text. It accepts text, image, video and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 262.14K context. Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.
The weights are downloadable under Qwen Community 1.0. Check runtime support and size the complete model and working context for your expected concurrency.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
Anthropic
Claude’s small model for high-volume extraction, classification and routing, with adaptive thinking and a 1M-token context window.
Mistral AI
Mistral Large 4 is an open-weight multimodal model released in public preview on the publisher’s announced release, for general reasoning, coding and agent applications.
OpenAI
GPT-6.1 Sol is OpenAI's updated Sol model for coding and professional tasks. It accepts text and images and returns text.
inclusionAI
Ling 3.1 Flash is inclusionAI’s hybrid reasoning model for coding and tool agents, available through a hosted AI Gateway route.
Anthropic
Claude Sonnet 5.5 is an Anthropic language model that accepts text and images and returns text.
MiniMax
MiniMax M3.1 Flash Preview is a multimodal reasoning model for code and agent workflows, accessed through eligible MiniMax plans and tools.