Comparison
Llama 3.2 3B vs Phi-3 Mini 4K Instruct
Side-by-side specs, benchmarks and hosted-inference pricing.
Pocket-sized Llama 3 variant for edge deployment. Surprising chat quality after instruction tuning makes it competitive with much larger models from a previous generation. At Q4 it fits in ~2 GB of VRAM and runs on consumer GPUs and recent Apple Silicon. A strong default for on-device chat, summarisation, and structured extraction tasks where the workload doesn't need frontier reasoning quality.
Microsoft's flagship small-model demonstration: GPT-3.5-class on academic benchmarks at <4B parameters. The 4K context-window variant is the lightest; a 128K variant ships separately. MIT licensed, well-suited to on-device assistants and structured-extraction workloads where compactness matters more than absolute quality.
Specs
| Parameters | 3B | 3.8B |
| Context length | 128K | 4K |
| Modality | text | text |
| Released | 2024-09-25 | 2024-04-23 |
| License | Llama 3 Community License | MIT |
| Commercial use | Yes | Yes |
| VRAM fp16 | 6 GB | 7.6 GB |
| VRAM Q4 | 1.8 GB | 2.3 GB |
Benchmarks
| HumanEval | 51.5 | 59.1 |
| MATH | 48.0 | 28.0 |
| MMLU | 63.4 | 68.8 |