+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Llama 4 Maverick vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 17.8% higher average benchmark score. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Overall, Llama 4 Maverick is the stronger choice for coding tasks.
+
+
+
+
Meta
Llama 4 Maverick was developed as a variant in Meta's fourth-generation language model family, designed to explore specialized capabilities and training approaches. Built to push the boundaries of open-source model development, it represents experimentation with advanced techniques in the Llama lineage.
+
+
+
+
Microsoft
Phi-3.5 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
7 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Llama 4 Maverick
Meta
2025-04-05
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
+
+
+
+
Llama 4 Maverick
Average Score:77.8%(+17.8%)
+
+
+
+
Phi-3.5-MoE-instruct
Average Score:60.0%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Llama 4 Maverick
7 providers
DeepInfra
Throughput: 83.59 tok/s
Latency: 0.38ms
Fireworks
Throughput: 63.03 tok/s
Latency: 0.62ms
Groq
Throughput: 307.3 tok/s
Latency: 0.27ms
Lambda
Throughput: 93.69 tok/s
Latency: 0.65ms
Novita
+
+
+
+
Llama 4 Maverick
Avg Score:77.8%(+17.8%)
Providers:7
+
+
+
+
Phi-3.5-MoE-instruct
Avg Score:60.0%
Providers:0