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DeepSeek-R1 vs Nova Lite
Comprehensive side-by-side LLM comparison
Nova Lite offers 39.9K more tokens in context window than DeepSeek-R1. Nova Lite is $2.44 cheaper per million tokens. Nova Lite supports multimodal inputs. DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1 was developed as a reasoning-focused language model, designed to combine chain-of-thought reasoning with reinforcement learning techniques. Built to excel at complex problem-solving through trial-and-error learning and deliberate analytical processes, it demonstrates the power of efficient training methods in open-source model development.
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Amazon
Amazon Nova Lite was developed as a lightweight multimodal model, designed to provide efficient AI capabilities for text and image understanding. Built to serve cost-sensitive applications with quick response times, it represents Amazon's entry-level offering in the Nova family.
2 months newer
Nova Lite
Amazon
2024-11-20
DeepSeek-R1
DeepSeek
2025-01-20
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1
Input:$0.55
Output:$2.19
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Nova Lite
Input:$0.06
Output:$0.24($2.44 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1
5 providers
DeepInfra
Throughput: 0.9 tok/s
Latency: 0.3ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Fireworks
Throughput: 2.1 tok/s
Latency: 0.3ms
Together
Throughput: 4 tok/s
Latency: 0.6ms
ZeroEval
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DeepSeek-R1
Avg Score:0.0%
Providers:5
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Nova Lite
Avg Score:0.0%
Providers:1