Amazon Nova Pro vs DeepSeek V3
2026 - Pricing, benchmarks, and use case comparison
Quick take
- •DeepSeek V3 is 66% cheaper on input tokens - better for high-volume workloads.
- •Amazon Nova Pro has a 300K context window - 2x larger than DeepSeek V3's 128K. Better for long documents and large codebases.
- •DeepSeek V3 is open-source: fine-tune it, self-host it, or use any inference provider. Amazon Nova Pro is closed-source.
Specs comparison
| Amazon Nova Pro | DeepSeek V3 | |
|---|---|---|
| Provider | Amazon Web Services | DeepSeek |
| Type | Closed source | Open source |
| Context window | ✓300K | 128K |
| Input / 1M tokens | $0.80 | ✓$0.27 |
| Output / 1M tokens | $3.20 | $1.10 |
| Release date | 2024-12 | 2024-12 |
Benchmarks
| Benchmark | Amazon Nova Pro | DeepSeek V3 |
|---|---|---|
| MMLU | ~85% | 88.5% |
| HumanEval | - | 90.2% |
| Aider Polyglot | - | 55.0% |
Scores sourced from official provider release posts.
Strengths
Amazon Nova Pro
- ✓Native AWS Bedrock integration
- ✓Multimodal: text, image, video inputs
- ✓300K context at competitive pricing
- ✓Strong RAG performance via Bedrock Knowledge Bases
- ✓Guardrails support for enterprise governance
DeepSeek V3
- ✓Near-GPT-4o quality at a fraction of the price
- ✓Open weights - self-host or fine-tune freely
- ✓Efficient MoE architecture reduces inference cost
- ✓Strong coding (Aider polyglot, HumanEval)
- ✓Good instruction following and structured output
Which should you choose?
Choose Amazon Nova Pro if you need...
- →AWS-native production workloads
- →Enterprise deployments requiring governance
- →Video and multimodal analysis
- →RAG pipelines on Bedrock
Choose DeepSeek V3 if you need...
- →Cost-sensitive high-volume inference
- →Self-hosted deployments
- →Fine-tuning for specialized domains
- →Coding assistants