Mixtral 8x7B (MoE) vs Qwen2.5 72B
Size, context window, license, approximate VRAM and the minimum local hardware each model needs — computed from our catalog and compatibility engine, not benchmarks.
| Mixtral 8x7B (MoE) | Qwen2.5 72B | |
|---|---|---|
| Parameters | 47B total / ~13B active (MoE) | 72B |
| Context window | 32K tokens | 128K tokens |
| License | Apache-2.0 | Qwen License |
| ~VRAM @ 4-bit (Q4_K_M) | ~28 GB | ~44 GB |
| ~VRAM @ 8-bit (Q8_0) | ~50 GB | ~78 GB |
| Minimum device | NVIDIA RTX A6000 | Apple Mac mini (M4 Pro) |
| Recommended device | Supermicro 8x H100 SuperServer | Supermicro 8x H100 SuperServer |
| Deployment | Hybrid | Hybrid |
| Capabilities | Tools, Multilingual | Tools, Code, Reasoning, Multilingual, Long context |
Highlighted cells mark the lighter / longer / more permissive side per row, for local deployment. Informational rows have no winner.
Bottom line
Mixtral 8x7B (MoE) (~47B) is lighter than Qwen2.5 72B (~72B), so it runs on more modest hardware, while Qwen2.5 72B trades a larger footprint for more capacity. At 4-bit, Mixtral 8x7B (MoE) needs about 28GB versus ~44GB, a meaningful gap when choosing a GPU. Qwen2.5 72B advertises the longer context window (128K vs 32K), which helps with long documents. Mixtral 8x7B (MoE)'s Apache-2.0 license is the more permissive of the two for commercial use. Minimum viable hardware differs: Mixtral 8x7B (MoE) starts on a NVIDIA RTX A6000, Qwen2.5 72B on a Apple Mac mini (M4 Pro). Figures are approximate working-set estimates, not benchmarks — verify the exact release before committing hardware.
Pick Mixtral 8x7B (MoE) if you want the lighter footprint and cheaper hardware, or you want the more permissive Apache-2.0 license.
Pick Qwen2.5 72B if you have the memory to spare and want the larger model, or you need the longer 128K context window.
~28GB+ at 4-bit; suits 48GB pro cards or unified-memory machines. Sparse activation gives good speed for the quality.
Flagship tier — similar footprint to Llama 70B; 48GB+ single card, a big Mac, or multi-GPU.
Run the winner on hardware you control
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