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Grok 4 Fast vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Grok 4 Fast leads with 55.3% higher average benchmark score. Grok 4 Fast offers 1.8M more tokens in context window than Phi-3.5-mini-instruct. Both models have similar pricing. Grok 4 Fast supports multimodal inputs. Overall, Grok 4 Fast is the stronger choice for coding tasks.
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xAI
Grok 4 Fast is a multimodal language model developed by xAI. It achieves strong performance with an average score of 73.0% across 7 benchmarks. It excels particularly in SimpleQA (95.0%), HMMT 2025 (93.3%), AIME 2025 (92.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents xAI's latest advancement in AI technology.
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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.
1 year newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Grok 4 Fast
xAI
2025-08-28
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Pricing Comparison
Cost per million tokens (USD)
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Grok 4 Fast
Input:$0.20
Output:$0.50
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($0.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Grok 4 Fast
Average Score:85.7%(+55.3%)
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Phi-3.5-mini-instruct
Average Score:30.4%
Provider Availability & Performance
Available providers and their performance metrics
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Grok 4 Fast
1 providers
xAI
Throughput: 90 tok/s
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Phi-3.5-mini-instruct
1 providers
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Grok 4 Fast
Avg Score:85.7%(+55.3%)
Providers:1
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Phi-3.5-mini-instruct
Avg Score:30.4%
Providers:1