Tasks and inputs
Qwen/Qwen3.5-35B-A3B is listed for Image-text-to-text. It accepts image, text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 7, 2026
Hugging Face repository for Image-text-to-text.
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
Qwen/Qwen3.5-35B-A3B is a Hugging Face repository returned by the public Image-text-to-text task feed. Its recorded download count is 2,582,188 and it has 1,480 likes when the repository snapshot was collected. Popularity is useful for discovery, but it is not a performance ranking or a guarantee of suitability.
This record is categorized for Image-text-to-text. A task category describes the intended machine-learning problem; it does not prove that every version, checkpoint, quantization, or deployment method produces the same quality. Teams should read the model card and test representative inputs before choosing it.
The public repository lists transformers as its library metadata. Its recorded tags include transformers, safetensors, qwen3_5_moe, image-text-to-text, conversational, base_model:Qwen/Qwen3.5-35B-A3B-Base, base_model:finetune:Qwen/Qwen3.5-35B-A3B-Base, license:apache-2.0. These source details are retained so readers can trace this directory entry back to the repository instead of relying on copied descriptions.
Use inputs that resemble deployment traffic, including difficult and out-of-domain cases. Compare output correctness, the response format, latency and memory requirements with a simple baseline under the same conditions.
Explore Qwen models and the image-text-to-text collection. Use the comparison tool to inspect a second candidate.
Compare the model on the work you need to complete.
Qwen/Qwen3.5-35B-A3B is listed for Image-text-to-text. It accepts image, text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 260.1K context and 65.54K maximum output. The listed route charges $0.225 input and $1.80 output per million tokens. 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 the publisher’s model licence. 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.
Anthropic
Claude Sonnet 5.5 is an Anthropic language model that accepts text and images and returns text.
Meituan
LongCat-2.5-Preview from Meituan: Meituan's multimodal reasoning model for coding and agent tasks, with image understanding and a 1M-token context window.
Alibaba
Qwen 3.8 Max Prime from Alibaba: High-throughput edition of Qwen3.8 Max for coding, professional work, multimodal understanding, and long-running agent workflows.