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DeepSeek-R1 vs Nova 2 Lite
Comprehensive side-by-side LLM comparison
Nova 2 Lite offers 869.1K more tokens in context window than DeepSeek-R1. Nova 2 Lite is $2.34 cheaper per million tokens. Nova 2 Lite supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1, released by DeepSeek on January 20, 2025, is a large reasoning model with 671 billion total parameters (37 billion active in its MoE architecture) designed for extended chain-of-thought reasoning. It features a 128K token context window and demonstrated strong performance on mathematics, coding, and scientific reasoning benchmarks at its release. DeepSeek-R1 targets complex analytical tasks, competitive programming, and applications requiring deep deliberative reasoning under an open MIT license.
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Amazon
Amazon Nova 2 Lite, released by Amazon Web Services on December 2, 2025, is a fast, cost-efficient reasoning model available on Amazon Bedrock with a 1M token context window enabling extended document, video, and image analysis. It features three extended thinking intensity levels, built-in code interpreter, web grounding tools, and native support for text, image, video, and document input. Nova 2 Lite targets cost-sensitive agentic applications, document analysis pipelines, and real-time workloads requiring multimodal reasoning.
10 months newer
DeepSeek-R1
DeepSeek
2025-01-20
Nova 2 Lite
Amazon
2025-12-02
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1
Input:$0.55
Output:$2.19
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Nova 2 Lite
Input:$0.08
Output:$0.32($2.34 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1
1 providers
DeepSeek
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Nova 2 Lite
1 providers
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DeepSeek-R1
Avg Score:0.0%
Providers:1
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Nova 2 Lite
Avg Score:0.0%
Providers:1