Qwen3 235B A22B vs Qwen3 Next 80B A3B Thinking

Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.

Qwen3 235B A22B

Alibaba · 235.1B

Chat
Qwen3 Next 80B A3B Thinking

Alibaba · 81.3B

Chat

Specifications

Qwen3 235B A22BQwen3 Next 80B A3B Thinking
Parameters235.1B81.3B
Context41K262K
ArchitectureQwen3MoeForCausalLMQwen3NextForCausalLM
LicenseApache 2.0Apache 2.0
Downloads517.3K31.0K
Released

VRAM by Quantization: Qwen3 235B A22B vs Qwen3 Next 80B A3B Thinking

QuantizationBitsQwen3 235B A22B VRAMQwen3 Next 80B A3B Thinking VRAM
Q2_K3.40100.4 GB35.0 GB
Q3_K_M3.90115.1 GB40.0 GB
Q3_K_S3.50103.3 GB36.0 GB
Q4_04.0041.1 GB
Q4_K_M4.80141.6 GB49.2 GB
Q5_K_M5.70168 GB58.3 GB
Q6_K6.60194.4 GB67.5 GB
Q8_08.00235.6 GB81.7 GB

Verdict

Qwen3 Next 80B A3B Thinking needs less VRAM at Q4_K_M (49.2 GB vs 141.6 GB), so it fits on smaller GPUs. Qwen3 Next 80B A3B Thinking supports a longer context window (262K tokens). Qwen3 235B A22B is the more widely downloaded of the two.

Frequently Asked Questions

Which needs less VRAM, Qwen3 235B A22B or Qwen3 Next 80B A3B Thinking?

At Q4_K_M, Qwen3 235B A22B needs 141.6 GB and Qwen3 Next 80B A3B Thinking needs 49.2 GB, so Qwen3 Next 80B A3B Thinking is the lighter option to run locally.

Which has a longer context window, Qwen3 235B A22B or Qwen3 Next 80B A3B Thinking?

Qwen3 235B A22B supports 40,960 tokens and Qwen3 Next 80B A3B Thinking supports 262,144 tokens.

What is the difference between Qwen3 235B A22B and Qwen3 Next 80B A3B Thinking?

Qwen3 235B A22B is a 235.1B model from Alibaba (Qwen family), while Qwen3 Next 80B A3B Thinking is a 81.3B model from Alibaba (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.