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Llama 4 8B vs Phi-4
Two of the strongest small open models compared. Llama 4 8B has the ecosystem; Phi-4 has the parameter efficiency.
| Llama 4 8B | Phi-4 | |
|---|---|---|
| Org | Meta | Microsoft |
| Released | 2025-09 | 2025-12 |
| Max params | 8B | 14B |
| Variants | 8B | 14B |
| Context | 128K | 16K |
| License | Llama | MIT |
| Commercial use | yes-with-limits | yes |
| MMLU | 73 | 84.8 |
| HumanEval | 62.2 | 82.6 |
| GSM8K | 85.3 | 95.2 |
| Languages | 12 | 5 |
| Min VRAM (smallest) | 16GB | 8GB |
| Vision | No | No |
Verdict
Phi-4 14B beats Llama 4 8B on math (GSM8K 95.2 vs 85.3) and code (HumanEval 82.6 vs 62.2). Llama 4 8B wins on context length (128K vs 16K), language coverage (12 vs 5), and ecosystem maturity. Pick Phi-4 for anything reasoning-heavy and short-context. Pick Llama 4 8B for general chat, long context, or fine-tuning.