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Grok-4 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Grok-4 leads with 57.1% higher average benchmark score. Grok-4 offers 8.0K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $17.80 cheaper per million tokens. Grok-4 supports multimodal inputs. Overall, Grok-4 is the stronger choice for coding tasks.
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xAI
Grok 4 represents the fourth generation of xAI's language models, developed to continue advancing the frontier of AI reasoning and knowledge. Built to handle increasingly complex tasks with enhanced reliability, it demonstrates xAI's commitment to pushing AI capabilities forward.
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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.
10 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Grok-4
xAI
2025-07-09
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Pricing Comparison
Cost per million tokens (USD)
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Grok-4
Input:$3.00
Output:$15.00
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($17.80 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Grok-4
Average Score:87.5%(+57.1%)
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Phi-3.5-mini-instruct
Average Score:30.4%
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Knowledge Cutoff
Training data recency comparison
Grok-4
2024-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Grok-4
2 providers
xAI
Throughput: 100 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Grok-4
Avg Score:87.5%(+57.1%)
Providers:2
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Phi-3.5-mini-instruct
Avg Score:30.4%
Providers:1