DeepSeek R1 0528 Qwen3 8B vs Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled

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

DeepSeek R1 0528 Qwen3 8B

DeepSeek · 8.2B

ChatReasoning

Specifications

DeepSeek R1 0528 Qwen3 8BQwen3.5 2B Claude 4.6 Opus Reasoning Distilled
Parameters8.2B2.3B
Context131K262K
ArchitectureQwen3ForCausalLMQwen3_5ForConditionalGeneration
LicenseMITApache 2.0
Downloads273.7K2.8K
ReleasedMay 2025Mar 2026

VRAM by Quantization: DeepSeek R1 0528 Qwen3 8B vs Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled

QuantizationBitsDeepSeek R1 0528 Qwen3 8B VRAMQwen3.5 2B Claude 4.6 Opus Reasoning Distilled VRAM
Q2_K3.404.1 GB1.4 GB
Q3_K_M3.904.6 GB1.5 GB
Q3_K_S3.504.2 GB1.4 GB
Q4_04.004.7 GB
Q4_K_M4.805.5 GB1.8 GB
Q5_K_M5.706.4 GB2.0 GB
Q6_K6.607.4 GB2.3 GB
Q8_08.008.8 GB2.7 GB

Verdict

Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled needs less VRAM at Q4_K_M (1.8 GB vs 5.5 GB), so it fits on smaller GPUs. Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled supports a longer context window (262K tokens). DeepSeek R1 0528 Qwen3 8B is the more widely downloaded of the two.

Frequently Asked Questions

Which needs less VRAM, DeepSeek R1 0528 Qwen3 8B or Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled?

At Q4_K_M, DeepSeek R1 0528 Qwen3 8B needs 5.5 GB and Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled needs 1.8 GB, so Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled is the lighter option to run locally.

Which has a longer context window, DeepSeek R1 0528 Qwen3 8B or Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled?

DeepSeek R1 0528 Qwen3 8B supports 131,072 tokens and Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled supports 262,144 tokens.

What is the difference between DeepSeek R1 0528 Qwen3 8B and Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled?

DeepSeek R1 0528 Qwen3 8B is a 8.2B model from DeepSeek (Qwen family), while Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled is a 2.3B model from Jackrong (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.