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Model details

Qwen3.6 35B-A3B

Qwen 3.6 35B-A3B is a Mixture-of-Experts model from the Qwen family that targets agentic workflows and complex reasoning tasks. According to the Salad AI Gateway overview, it is positioned as the flagship MoE option in the gateway's closed-beta lineup, recommended specifically for agentic scenarios and multi-step reasoning where tool use and structured outputs are central. The naming suggests roughly 35 billion total parameters with about 3 billion active per token, a configuration that typically balances capability against compute cost, and the public FP8 quantization discussion on the NVIDIA developer forums indicates community attention to efficient inference variants suitable for local and edge GPU deployment.

In practical use, the model fits builders who need strong reasoning plus reliable tool calling and structured output, and its open-weights nature means teams can also run or fine-tune it locally. Salad AI Gateway routes requests through an OpenAI-compatible endpoint powered by SaladCloud's distributed GPU network, which keeps setup minimal for developers using popular coding and agent tools, while the gateway still exposes the model's reasoning and tool-calling capabilities at the API level. Community testers on the NVIDIA forums have been actively tuning configurations, signaling an active ecosystem around this release and suggesting the model is being explored for stable agent pipelines where reasoning quality matters more than raw throughput.

SaladCloud AI Gatewayqwen3.6-35b-a3bqwen

Quick Info

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Provider
SaladCloud AI Gateway
Model key
qwen3.6-35b-a3b
Release date
Apr 17, 2026
Last updated
Apr 17, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.09
Output token cost
$0.60

Limits

Input tokens
262,144 tokens
Output tokens
262,144 tokens
Context window
262,144 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Qwen3.6 35B-A3B

SaladCloud AI Gateway

CoverageRelease Notes

Amazon Web Services announced that the Qwen3.6-35B-A3B-NVFP4 quantized variant is now available on Amazon SageMaker JumpStart, alongside the Wan2.1-T2V-1.3B-Diffusers model. The NVFP4 designation refers to a 4-bit NVIDIA-optimized quantization build of Alibaba's open-weight Qwen3.6-35B-A3B MoE model, the same model fam The listing pairs the quantized Qwen variant with the Wan2.1-T2V-1.3B text-to-video Diffusers model, indicating AWS is curating a set of open-weight model artifacts for JumpStart customers. As an NVFP4 build, the weights are intended for efficient GPU inference on NVIDIA hardware, reducing VRAM requirements compared wi

SaladCloud AI Gateway

Coverage

On April 2, 2026, Alibaba's Qwen team open-sourced Qwen3.6-35B-A3B, the first open-weight variant of the Qwen3.6 generation, released under Apache 2.0 on Hugging Face alongside the proprietary Qwen3.6-Plus API model. The 35-billion-parameter Mixture-of-Experts model activates just 3B parameters per token and is positio Under the hood, Qwen3.6-35B-A3B is a sparse MoE with 256 experts, of which 8 routed plus 1 shared activate per token, yielding 3B active parameters. The 40-layer stack uses a repeating block of three Gated DeltaNet (linear attention) layers followed by one Gated Attention layer, each paired with an MoE feed-forward blo

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