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Grok-2 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Grok-2 leads with 25.1% higher average benchmark score. Phi-3.5-mini-instruct offers 120.0K more tokens in context window than Grok-2. Phi-3.5-mini-instruct is $11.80 cheaper per million tokens. Grok-2 supports multimodal inputs. Overall, Grok-2 is the stronger choice for coding tasks.
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xAI
Grok 2 was developed as the second generation of xAI's language model family, designed to provide enhanced reasoning, knowledge, and conversational abilities. Built with architectural improvements and expanded training, it represents a significant advancement in xAI's model capabilities.
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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 days newer
Grok-2
xAI
2024-08-13
Phi-3.5-mini-instruct
Microsoft
2024-08-23
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Pricing Comparison
Cost per million tokens (USD)
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Grok-2
Input:$2.00
Output:$10.00
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($11.80 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Grok-2
Average Score:76.7%(+25.1%)
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Phi-3.5-mini-instruct
Average Score:51.6%
Provider Availability & Performance
Available providers and their performance metrics
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Grok-2
1 providers
xAI
Throughput: 85 tok/s
Latency: 0.7ms
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Phi-3.5-mini-instruct
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Grok-2
Avg Score:76.7%(+25.1%)
Providers:1
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Phi-3.5-mini-instruct
Avg Score:51.6%
Providers:1