#6 Qwen3.6-35B-A3B
Best speed-per-dollar for laptops/24 GB GPUs; #2 LLMCheck local index.
- Version
- Qwen3.6-35B-A3B
- Maker
- Alibaba Qwen
- Release date
- 2026-04-15 (Hugging Face repo creation date unless noted)
- Architecture
- MoE (8 routed + 1 shared)
- Total params
- 35B
- Active params
- 3B
- Context length
- 262,144 native, extensible to ~1.01M
- License
- Apache-2.0
- Commercial notes
- Fully commercial
- Variants
- Qwen3.6-35B-A3B
- Memory
- BF16/native: no published figure yet
FP8: no published figure yet
Q8: no published figure yet
Q4: no published figure yet
LLMCheck min RAM 24 GB - Hardware
- Single Spark (128GB): Yes
Dual Spark (256GB): Yes
Quad Spark (~512GB): Yes
24GB GPU: Yes
128GB Mac / Strix: Yes - Tokens/sec
- apple_m5_max: 126 tok/s community (LLMCheck)
- mac_mini_m6_32gb: 64 tok/s community, LM Studio (LLMCheck)
- Document Q&A strengths
- Very fast on modest hardware
- 262K context
- r/LocalLLaMA top pick for 24-32 GB
- Embedding / reranker pairing
- no published figure yet
- Runtimes
- Ollama: listed (qwen3.6)
llama.cpp: Yes (community GGUF) unverified
vLLM: Yes (model card)
LM Studio: Yes (used in M6 benchmark) - Hugging Face
- https://huggingface.co/Qwen/Qwen3.6-35B-A3B
DGX Spark configs it fits
- Single Spark (128GB): Yes
- Dual Spark (256GB): Yes
- Quad Spark (~512GB): Yes
Spark fit is estimated from published memory sizes, not tested on Spark hardware.
Sources
- https://huggingface.co/Qwen/Qwen3.6-35B-A3B
- https://llmcheck.net/blog/state-of-open-source-local-llms-october-2026/
- https://prismix.dev/news/a0c0ec2a914c
Last updated Oct 24, 2026. Fields tagged unverified lack a primary source. "No published figure yet" means we found no source, and we don't guess. Spark fit is estimated from published memory sizes, not tested on Spark hardware. Ollama listings may be cloud-only tags; check this for Kimi K3 and DeepSeek V4.1 before pulling.
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