Model ID
Qwen/Qwen3.6-35B-A3B
Capabilities
Qwen3.6 35B A3B
Qwen3.6 35B A3B is a multimodal Mixture-of-Experts large language model designed for efficient long-context reasoning and scalable deployment. As the successor to Qwen3.5 35B A3B and the first open-weight Qwen3.6 variant, it contains 35B total parameters with ~3B active, activating 8 routed and 1 shared expert from 256 per token. It features a 40-layer hybrid architecture combining Gated DeltaNet and full attention layers. The model supports a 262K token context window, extendable to 1M, and integrates a 27-layer vision encoder for unified multimodal processing.
About this model
Qwen3.6 35B A3B is a multimodal Mixture-of-Experts large language model designed for efficient long-context reasoning and scalable deployment. As the successor to Qwen3.5 35B A3B and the first open-weight Qwen3.6 variant, it contains 35B total parameters with ~3B active, activating 8 routed and 1 shared expert from 256 per token. It features a 40-layer hybrid architecture combining Gated DeltaNet and full attention layers. The model supports a 262K token context window, extendable to 1M, and integrates a 27-layer vision encoder for unified multimodal processing.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (Qwen/Qwen3.6-35B-A3B). Released under Apache 2.0. Further reading: Blog
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Hardware
MI325X
2,048 GB
B200
1,440 GB
Engine
vLLM
SGLang
Llama.cpp
Deployment code
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Performance under load
Tokens/s (total)
Benchmarks measured by Vultr on MI325X · vLLM. Throughput and latency vary with concurrency, input length and engine configuration, so treat these as a comparison baseline, not a service guarantee.
AMD Instinct MI325X
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