Meta: Llama 4 Maverick vs Microsoft: Phi 4
Side-by-side comparison — pricing, context window, capabilities, and live leaderboard data.
Key differences
- Meta: Llama 4 Maverick has a 1049K-token context window — 64.0× larger than Microsoft: Phi 4's 16K.
- Microsoft: Phi 4 is 57% cheaper per 1K input tokens than Meta: Llama 4 Maverick ($0.0001 vs $0.0001).
- Meta: Llama 4 Maverick is built by Meta; Microsoft: Phi 4 is built by Microsoft.
- Meta: Llama 4 Maverick supports vision (image inputs); the other does not.
Specifications
| Meta: Llama 4 Maverick | Microsoft: Phi 4 | |
|---|---|---|
| Provider | Meta | Microsoft |
| Context window | 1049K | 16K |
| Max output tokens | 8192 | 8192 |
| Input price / 1K tokens | $0.0001 | $0.0001 |
| Output price / 1K tokens | $0.0006 | $0.0001 |
| Vision support | Yes | No |
| Function calling | No | No |
| License | Proprietary | Proprietary |
About Meta: Llama 4 Maverick
US·ClosedLlama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
View Meta: Llama 4 Maverick reliability and benchmark history →About Microsoft: Phi 4
US·Closed[Microsoft Research](/microsoft) Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed. At 14 billion...
View Microsoft: Phi 4 reliability and benchmark history →Try them yourself
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