DeepSeek R1 Distill Qwen 7B vs Qwen3.6 27B MTPLX Optimized Speed
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| DeepSeek R1 Distill Qwen 7B | Qwen3.6 27B MTPLX Optimized Speed | |
|---|---|---|
| Parameters | 7.6B | 4.7B |
| Context | 131K | 262K |
| Architecture | Qwen2ForCausalLM | Qwen3_5ForConditionalGeneration |
| License | MIT | Apache 2.0 |
| Downloads | 515.5K | 44.5K |
| Released | Feb 2025 | Jun 2026 |
VRAM by Quantization: DeepSeek R1 Distill Qwen 7B vs Qwen3.6 27B MTPLX Optimized Speed
| Quantization | Bits | DeepSeek R1 Distill Qwen 7B VRAM | Qwen3.6 27B MTPLX Optimized Speed VRAM |
|---|---|---|---|
| Q2_K | 3.40 | 3.6 GB | 2.7 GB |
| Q3_K_M | 3.90 | 4.1 GB | 3.0 GB |
| Q3_K_S | 3.50 | 3.8 GB | 2.8 GB |
| Q4_0 | 4.00 | 4.2 GB | — |
| Q4_K_M | 4.80 | 5.0 GB | 3.5 GB |
| Q5_K_M | 5.70 | 5.8 GB | 4.1 GB |
| Q6_K | 6.60 | 6.7 GB | 4.6 GB |
| Q8_0 | 8.00 | 8.0 GB | 5.4 GB |
Verdict
Qwen3.6 27B MTPLX Optimized Speed needs less VRAM at Q4_K_M (3.5 GB vs 5.0 GB), so it fits on smaller GPUs. Qwen3.6 27B MTPLX Optimized Speed supports a longer context window (262K tokens). DeepSeek R1 Distill Qwen 7B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, DeepSeek R1 Distill Qwen 7B or Qwen3.6 27B MTPLX Optimized Speed?
At Q4_K_M, DeepSeek R1 Distill Qwen 7B needs 5.0 GB and Qwen3.6 27B MTPLX Optimized Speed needs 3.5 GB, so Qwen3.6 27B MTPLX Optimized Speed is the lighter option to run locally.
- Which has a longer context window, DeepSeek R1 Distill Qwen 7B or Qwen3.6 27B MTPLX Optimized Speed?
DeepSeek R1 Distill Qwen 7B supports 131,072 tokens and Qwen3.6 27B MTPLX Optimized Speed supports 262,144 tokens.
- What is the difference between DeepSeek R1 Distill Qwen 7B and Qwen3.6 27B MTPLX Optimized Speed?
DeepSeek R1 Distill Qwen 7B is a 7.6B model from DeepSeek (Qwen family), while Qwen3.6 27B MTPLX Optimized Speed is a 4.7B model from Youssofal (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.