Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled vs CodeQwen1.5 7B
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled | CodeQwen1.5 7B | |
|---|---|---|
| Parameters | 27.8B | 7.3B |
| Context | 262K | 66K |
| Architecture | Qwen3_5ForConditionalGeneration | Qwen2ForCausalLM |
| License | Apache 2.0 | Other |
| Downloads | 61.6K | 1.6K |
| Released | Mar 2026 | — |
VRAM by Quantization: Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled vs CodeQwen1.5 7B
| Quantization | Bits | Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled VRAM | CodeQwen1.5 7B VRAM |
|---|---|---|---|
| Q2_K | 3.40 | 12.6 GB | 3.5 GB |
| Q3_K_M | 3.90 | 14.3 GB | 4.0 GB |
| Q3_K_S | 3.50 | 12.9 GB | 3.6 GB |
| Q4_0 | 4.00 | 14.6 GB | 4.1 GB |
| Q4_K_M | 4.80 | 17.4 GB | 4.8 GB |
| Q5_K_M | 5.70 | 20.5 GB | 5.6 GB |
| Q6_K | 6.60 | 23.7 GB | 6.4 GB |
| Q8_0 | 8.00 | 28.5 GB | 7.7 GB |
Verdict
CodeQwen1.5 7B needs less VRAM at Q4_K_M (4.8 GB vs 17.4 GB), so it fits on smaller GPUs. Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled supports a longer context window (262K tokens). Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled or CodeQwen1.5 7B?
At Q4_K_M, Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled needs 17.4 GB and CodeQwen1.5 7B needs 4.8 GB, so CodeQwen1.5 7B is the lighter option to run locally.
- Which has a longer context window, Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled or CodeQwen1.5 7B?
Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled supports 262,144 tokens and CodeQwen1.5 7B supports 65,536 tokens.
- What is the difference between Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled and CodeQwen1.5 7B?
Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled is a 27.8B model from Jackrong (Qwen family), while CodeQwen1.5 7B is a 7.3B model from Alibaba (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.