Comprehensive side-by-side LLM comparison
Nova Micro leads with 1.9% higher average benchmark score. Both models have similar pricing. Phi-4-multimodal-instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Amazon
Nova Micro is a language model developed by Amazon. It achieves strong performance with an average score of 67.0% across 17 benchmarks. It excels particularly in GSM8k (92.3%), ARC-C (90.2%), Translation Set1→en COMET22 (88.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Amazon's latest advancement in AI technology.
Microsoft
Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). It supports a 256K 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
2 months newer
Nova Micro
Amazon
2024-11-20
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Cost per million tokens (USD)
Nova Micro
Phi-4-multimodal-instruct
Context window and performance specifications
Average performance across 32 common benchmarks
Nova Micro
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics
Nova Micro
Bedrock
Phi-4-multimodal-instruct
Nova Micro
Phi-4-multimodal-instruct
Nova Micro
Phi-4-multimodal-instruct
DeepInfra