Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER vs DeepSeek R1 0528 Qwen3 8B
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
DavidAU · 42.4B
ChatCodeReasoning
Specifications
| Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER | DeepSeek R1 0528 Qwen3 8B | |
|---|---|---|
| Parameters | 42.4B | 8.2B |
| Context | 262K | 131K |
| Architecture | Qwen3MoeForCausalLM | Qwen3ForCausalLM |
| License | Apache 2.0 | MIT |
| Downloads | 1.9K | 273.7K |
| Released | Aug 2025 | May 2025 |
VRAM by Quantization: Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER vs DeepSeek R1 0528 Qwen3 8B
| Quantization | Bits | Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER VRAM | DeepSeek R1 0528 Qwen3 8B VRAM |
|---|---|---|---|
| Q2_K | 3.40 | — | 4.1 GB |
| Q3_K_M | 3.90 | — | 4.6 GB |
| Q3_K_S | 3.50 | — | 4.2 GB |
| Q4_0 | 4.00 | — | 4.7 GB |
| Q4_K_M | 4.80 | — | 5.5 GB |
| Q5_K_M | 5.70 | — | 6.4 GB |
| Q6_K | 6.60 | — | 7.4 GB |
| Q8_0 | 8.00 | — | 8.8 GB |
Verdict
Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER supports a longer context window (262K tokens). DeepSeek R1 0528 Qwen3 8B is the more widely downloaded of the two.
Frequently Asked Questions
- Which has a longer context window, Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER or DeepSeek R1 0528 Qwen3 8B?
Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER supports 262,144 tokens and DeepSeek R1 0528 Qwen3 8B supports 131,072 tokens.
- What is the difference between Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER and DeepSeek R1 0528 Qwen3 8B?
Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER is a 42.4B model from DavidAU (Qwen family), while DeepSeek R1 0528 Qwen3 8B is a 8.2B model from DeepSeek (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.