+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Grok-3 Mini vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Grok-3 Mini leads with 53.6% higher average benchmark score. Phi-3.5-mini-instruct offers 120.0K more tokens in context window than Grok-3 Mini. Phi-3.5-mini-instruct is $0.60 cheaper per million tokens. Grok-3 Mini supports multimodal inputs. Overall, Grok-3 Mini is the stronger choice for coding tasks.
+
+
+
+
xAI
Grok 3 Mini was developed as an efficient version of Grok 3, designed to bring next-generation capabilities to resource-conscious deployments. Built to provide strong performance with practical efficiency, it extends Grok 3's innovations to broader application scenarios.
+
+
+
+
Microsoft
Phi-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
5 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Grok-3 Mini
xAI
2025-02-17
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Grok-3 Mini
Input:$0.30
Output:$0.50
+
+
+
+
Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($0.60 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
Grok-3 Mini
Average Score:84.0%(+53.6%)
+
+
+
+
Phi-3.5-mini-instruct
Average Score:30.4%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Grok-3 Mini
2024-11-17
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Grok-3 Mini
1 providers
xAI
Throughput: 100 tok/s
Latency: 0.7ms
+
+
+
+
Phi-3.5-mini-instruct
+
+
+
+
Grok-3 Mini
Avg Score:84.0%(+53.6%)
Providers:1
+
+
+
+
Phi-3.5-mini-instruct
Avg Score:30.4%
Providers:1