+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT-4o mini vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 35.7% higher average benchmark score. Phi-3.5-mini-instruct offers 111.6K more tokens in context window than GPT-4o mini. Phi-3.5-mini-instruct is $0.55 cheaper per million tokens. GPT-4o mini supports multimodal inputs. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
+
+
+
+
OpenAI
GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K token context window for handling large documents. 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 2024, it represents OpenAI's latest advancement in AI technology.
+
+
+
+
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
1 month newer
GPT-4o mini
OpenAI
2024-07-18
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
GPT-4o mini
Input:$0.15
Output:$0.60
+
+
+
+
Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($0.55 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 35 common benchmarks
+
+
+
+
GPT-4o mini
Average Score:16.3%
+
+
+
+
Phi-3.5-mini-instruct
Average Score:52.0%(+35.7%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
GPT-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
+
+
+
+
Phi-3.5-mini-instruct
+
+
+
+
GPT-4o mini
Avg Score:16.3%
Providers:1
+
+
+
+
Phi-3.5-mini-instruct
Avg Score:52.0%(+35.7%)
Providers:1