Llama 3.1 8B vs Mistral 7B
Size, context window, license, approximate VRAM and the minimum local hardware each model needs — computed from our catalog and compatibility engine, not benchmarks.
| Llama 3.1 8B | Mistral 7B | |
|---|---|---|
| Parameters | 8B | 7B |
| Context window | 128K tokens | 32K tokens |
| License | Llama Community License | Apache-2.0 |
| ~VRAM @ 4-bit (Q4_K_M) | ~6 GB | ~5 GB |
| ~VRAM @ 8-bit (Q8_0) | ~9 GB | ~8 GB |
| Minimum device | NVIDIA GeForce RTX 3060 12GB | NVIDIA GeForce RTX 3060 12GB |
| Recommended device | Supermicro 8x H100 SuperServer | Supermicro 8x H100 SuperServer |
| Deployment | Local / on-prem | Local / on-prem |
| Capabilities | Tools, Multilingual, Long context | Tools |
Highlighted cells mark the lighter / longer / more permissive side per row, for local deployment. Informational rows have no winner.
Bottom line
Mistral 7B (~7B) is lighter than Llama 3.1 8B (~8B), so it runs on more modest hardware, while Llama 3.1 8B trades a larger footprint for more capacity. At 4-bit, Mistral 7B needs about 5GB versus ~6GB, a meaningful gap when choosing a GPU. Llama 3.1 8B advertises the longer context window (128K vs 32K), which helps with long documents. Mistral 7B's Apache-2.0 license is the more permissive of the two for commercial use. Both can start on a NVIDIA GeForce RTX 3060 12GB-class machine. Figures are approximate working-set estimates, not benchmarks — verify the exact release before committing hardware.
Pick Llama 3.1 8B if you have the memory to spare and want the larger model, or you need the longer 128K context window.
Pick Mistral 7B if you want the lighter footprint and cheaper hardware, or you want the more permissive Apache-2.0 license.
Runs comfortably at 4-bit on any 8GB+ GPU, a Mac mini, or a small mini PC. The classic entry point for local AI.
Lightweight enough for 8GB GPUs; a quick, permissively-licensed assistant.
Run the winner on hardware you control
Pick the model that fits your footprint, then turn the right machine into a private AI Business OS — no per-seat data leaving your premises.