DeepSeek R1 0528 Qwen3 8B vs Qwen3 30B A3B Thinking 2507
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| DeepSeek R1 0528 Qwen3 8B | Qwen3 30B A3B Thinking 2507 | |
|---|---|---|
| Parameters | 8.2B | 30.5B |
| Context | 131K | 262K |
| Architecture | Qwen3ForCausalLM | Qwen3MoeForCausalLM |
| License | MIT | Apache 2.0 |
| Downloads | 273.7K | 124.4K |
| Released | May 2025 | — |
VRAM by Quantization: DeepSeek R1 0528 Qwen3 8B vs Qwen3 30B A3B Thinking 2507
| Quantization | Bits | DeepSeek R1 0528 Qwen3 8B VRAM | Qwen3 30B A3B Thinking 2507 VRAM |
|---|---|---|---|
| Q2_K | 3.40 | 4.1 GB | 13.4 GB |
| Q3_K_M | 3.90 | 4.6 GB | 15.3 GB |
| Q3_K_S | 3.50 | 4.2 GB | 13.8 GB |
| Q4_0 | 4.00 | 4.7 GB | 15.7 GB |
| Q4_K_M | 4.80 | 5.5 GB | 18.7 GB |
| Q5_K_M | 5.70 | 6.4 GB | 22.1 GB |
| Q6_K | 6.60 | 7.4 GB | 25.6 GB |
| Q8_0 | 8.00 | 8.8 GB | 30.9 GB |
Verdict
DeepSeek R1 0528 Qwen3 8B needs less VRAM at Q4_K_M (5.5 GB vs 18.7 GB), so it fits on smaller GPUs. Qwen3 30B A3B Thinking 2507 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 30B A3B Thinking 2507?
At Q4_K_M, DeepSeek R1 0528 Qwen3 8B needs 5.5 GB and Qwen3 30B A3B Thinking 2507 needs 18.7 GB, so DeepSeek R1 0528 Qwen3 8B is the lighter option to run locally.
- Which has a longer context window, DeepSeek R1 0528 Qwen3 8B or Qwen3 30B A3B Thinking 2507?
DeepSeek R1 0528 Qwen3 8B supports 131,072 tokens and Qwen3 30B A3B Thinking 2507 supports 262,144 tokens.
- What is the difference between DeepSeek R1 0528 Qwen3 8B and Qwen3 30B A3B Thinking 2507?
DeepSeek R1 0528 Qwen3 8B is a 8.2B model from DeepSeek (Qwen family), while Qwen3 30B A3B Thinking 2507 is a 30.5B model from Alibaba (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.