Comprehensive side-by-side LLM comparison
Nova Micro leads with 4.7% higher average benchmark score. DeepSeek VL2 offers 2.6K more tokens in context window than Nova Micro. Nova Micro is $4809.33 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K 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 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.
23 days newer
Nova Micro
Amazon
2024-11-20
DeepSeek VL2
DeepSeek
2024-12-13
Cost per million tokens (USD)
DeepSeek VL2
Nova Micro
Context window and performance specifications
Average performance across 31 common benchmarks
DeepSeek VL2
Nova Micro
Available providers and their performance metrics
DeepSeek VL2
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Nova Micro
DeepSeek VL2
Nova Micro
DeepSeek VL2
Nova Micro
Bedrock