Comprehensive side-by-side LLM comparison
Nova Micro leads with 42.1% higher average benchmark score. Both models have similar pricing. Overall, Nova Micro is the stronger choice for coding tasks.
DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). 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 2025, it represents DeepSeek's latest advancement in AI technology.
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.
2 months newer
Nova Micro
Amazon
2024-11-20
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Cost per million tokens (USD)
DeepSeek R1 Distill Qwen 32B
Nova Micro
Context window and performance specifications
Average performance across 20 common benchmarks
DeepSeek R1 Distill Qwen 32B
Nova Micro
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 32B
DeepInfra
Nova Micro
DeepSeek R1 Distill Qwen 32B
Nova Micro
DeepSeek R1 Distill Qwen 32B
Nova Micro
Bedrock