+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Llama 3.1 70B Instruct vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Llama 3.1 70B Instruct leads with 14.4% higher average benchmark score. Llama 3.1 70B Instruct is available on 9 providers. Overall, Llama 3.1 70B Instruct is the stronger choice for coding tasks.
+
+
+
+
Meta
Llama 3.1 70B was created as a balanced open-source model, designed to provide strong performance with 70 billion parameters while remaining practical for many deployment scenarios. Built to serve as a versatile foundation for fine-tuning and application development, it combines capability with accessibility in the open-source ecosystem.
+
+
+
+
Microsoft
Phi-4 Mini was created as an even more compact variant of Phi-4, designed to bring fourth-generation capabilities to the smallest possible footprint. Built for extreme efficiency scenarios, it enables AI capabilities on devices and applications where resources are severely constrained.
6 months newer
Llama 3.1 70B Instruct
Meta
2024-07-23
Phi 4 Mini
Microsoft
2025-02-01
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
+
+
+
+
Llama 3.1 70B Instruct
Average Score:71.6%(+14.4%)
+
+
+
+
Phi 4 Mini
Average Score:57.3%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Llama 3.1 70B Instruct
9 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cerebras
Throughput: 1204 tok/s
Latency: 0.2ms
DeepInfra
Throughput: 25 tok/s
Latency: 0.5ms
Fireworks
Throughput: 32 tok/s
Latency: 0.5ms
Groq
+
+
+
+
Llama 3.1 70B Instruct
Avg Score:71.6%(+14.4%)
Providers:9
+
+
+
+
Phi 4 Mini
Avg Score:57.3%
Providers:0