DeepSeek R1 0528 Qwen3 8B vs Distil Qwen3 0.6B Text2sql
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| DeepSeek R1 0528 Qwen3 8B | Distil Qwen3 0.6B Text2sql | |
|---|---|---|
| Parameters | 8.2B | 596M |
| Context | 131K | 41K |
| Architecture | Qwen3ForCausalLM | Qwen3ForCausalLM |
| License | MIT | Apache 2.0 |
| Downloads | 273.7K | 173 |
| Released | May 2025 | Jan 2026 |
VRAM by Quantization: DeepSeek R1 0528 Qwen3 8B vs Distil Qwen3 0.6B Text2sql
| Quantization | Bits | DeepSeek R1 0528 Qwen3 8B VRAM | Distil Qwen3 0.6B Text2sql VRAM |
|---|---|---|---|
| Q2_K | 3.40 | 4.1 GB | 0.7 GB |
| Q3_K_M | 3.90 | 4.6 GB | 0.7 GB |
| Q3_K_S | 3.50 | 4.2 GB | 0.7 GB |
| Q4_0 | 4.00 | 4.7 GB | 0.7 GB |
| Q4_K_M | 4.80 | 5.5 GB | 0.8 GB |
| Q5_K_M | 5.70 | 6.4 GB | 0.8 GB |
| Q6_K | 6.60 | 7.4 GB | 0.9 GB |
| Q8_0 | 8.00 | 8.8 GB | 1.0 GB |
Verdict
Distil Qwen3 0.6B Text2sql needs less VRAM at Q4_K_M (0.8 GB vs 5.5 GB), so it fits on smaller GPUs. DeepSeek R1 0528 Qwen3 8B supports a longer context window (131K 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 Distil Qwen3 0.6B Text2sql?
At Q4_K_M, DeepSeek R1 0528 Qwen3 8B needs 5.5 GB and Distil Qwen3 0.6B Text2sql needs 0.8 GB, so Distil Qwen3 0.6B Text2sql is the lighter option to run locally.
- Which has a longer context window, DeepSeek R1 0528 Qwen3 8B or Distil Qwen3 0.6B Text2sql?
DeepSeek R1 0528 Qwen3 8B supports 131,072 tokens and Distil Qwen3 0.6B Text2sql supports 40,960 tokens.
- What is the difference between DeepSeek R1 0528 Qwen3 8B and Distil Qwen3 0.6B Text2sql?
DeepSeek R1 0528 Qwen3 8B is a 8.2B model from DeepSeek (Qwen family), while Distil Qwen3 0.6B Text2sql is a 596M model from distil-labs (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.