Microsoft Phi-4 vs Amazon Nova Micro

Performance benchmarks + pricing comparison — updated April 2026

Microsoft Phi-4

Microsoft

Microsoft's compact 14B model with strong reasoning and coding capability. Excellent value for small-scale deployments.

Input	$0.100/M
Output	$0.300/M
Context	128K tokens
Best For	Edge deployments, local inference, budget coding
Benchmark	45/100

Amazon

Amazon's most cost-effective model. Optimized for speed and low-cost text generation tasks.

Input	$0.035/M
Output	$0.140/M
Context	128K tokens
Best For	High-volume text processing, summarization

Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.

Scenario	Microsoft Phi-4	Amazon Nova Micro	Savings
Small Script (1K lines)	$0.01	<$0.01	Amazon Nova Micro saves <$0.01 (57%)
Medium Feature (10K lines)	$0.10	$0.04	Amazon Nova Micro saves $0.05 (58%)
Large Project (50K lines)	$0.47	$0.20	Amazon Nova Micro saves $0.27 (58%)
Code Review (5K lines)	$0.02	<$0.01	Amazon Nova Micro saves $0.02 (61%)

Amazon Nova Micro wins on both price and performance — $0.035/M input with a benchmark score of N/A/100.

For most developers, this is the clear choice between these two models.

Anthropic's balanced model for coding and general tasks. Best price-performance ratio in the Claude family.

Anthropic's most powerful model. Best for complex reasoning and challenging coding tasks.

Previous generation Sonnet. Still excellent for coding tasks at the same price point.

Fast, cost-effective model for high-volume tasks. Great for code review and simple queries.

First generation Opus. Highest reasoning capability in the Claude 3 family.

First generation Sonnet. Balanced performance for general tasks.