Amazon NovavsDeepSeek
- ✦ Multimodal Support
- ✦ Video Understanding
- ✦ Long Context (300k)
- ✦ Open source
- ✦ Chain-of-thought reasoning
- ✦ Code generation
Real-World Scenarios: When to Choose Which
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
Chain-of-thought reasoning solves multi-step financial models in spreadsheet via API. Open-source architecture lets compliance teams audit exactly how each answer was reached.
Run on local infrastructure for high-volume APIs. At $0.14/million tokens versus $15 for LLM, startups process millions of queries monthly without vendor lock-in.
Multimodal feature parses documents containing tables and images within internal wiki. Liability clauses and compliance gaps extract with visual context - no separate image-to-text.
Pricing Intelligence
Amazon Nova Plans
Paid plans only
- • $0.035/M input tokens
- • Fastest in family
- • Text only
- • $0.06/M input tokens
- • Multimodal
- • Cost-efficient
- • $0.8/M input tokens
- • Top performance
- • 300k context
DeepSeek Plans
Free tier available
You get basic access. Good enough for solo use and evaluation.
Custom pricing for SSO, SLA, dedicated support. Always negotiate - ask for pilot pricing if testing with <50 seats, and push for annual discount commitments. Compare enterprise quotes against OpenAI API's equivalent tier.
Feature Matrix
15 differences found across 33 standardized features
Pros & Cons Face-Off
Evaluative strengths and weaknesses — not feature lists
- +Very competitive pricing (especially Micro)
- +Deep AWS service integration
- +Strong video understanding
- +Fine-tuning available
- −Only available through AWS Bedrock
- −Less well-known than OpenAI/Anthropic
- −Performance lags top-tier competitors
- +Free plan available
- +Large user base (50M+)
- +API access for custom integrations
- −AI output quality varies by use case
- −Some advanced features locked behind higher tiers