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GPT-4o mini vs Phi 4
Comprehensive side-by-side LLM comparison
Phi 4 leads with 2.3% higher average benchmark score. GPT-4o mini offers 112.4K more tokens in context window than Phi 4. Phi 4 is $0.54 cheaper per million tokens. GPT-4o mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4o Mini was created as a smaller, more efficient variant of GPT-4o, designed to bring multimodal capabilities to applications requiring faster response times and lower costs. Built to democratize access to advanced vision and text understanding, it enables developers to build sophisticated applications with reduced resource requirements.
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Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
4 months newer
GPT-4o mini
OpenAI
2024-07-18
Phi 4
Microsoft
2024-12-12
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4o mini
Input:$0.15
Output:$0.60
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Phi 4
Input:$0.07
Output:$0.14($0.54 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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GPT-4o mini
Average Score:74.4%
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Phi 4
Average Score:76.7%(+2.3%)
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
Phi 4
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
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Phi 4
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GPT-4o mini
Avg Score:74.4%
Providers:1
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Phi 4
Avg Score:76.7%(+2.3%)
Providers:1