Amazon Nova Pro vs DeepSeek V3
Pricing, benchmarks, and use case comparison
Quick take
- •Amazon Nova Pro is meaningfully stronger at multimodal (85 vs 10 on our capability index).
- •DeepSeek V3 is meaningfully stronger at coding (80 vs 68).
- •DeepSeek V3 is open-weights (free to self-host); Amazon Nova Pro is paid API only.
- •Amazon Nova Pro has a 300K tokens context window vs 128K tokens - better for whole-repo or long-document work.
Specs comparison
| Amazon Nova Pro | DeepSeek V3 | |
|---|---|---|
| Provider | Amazon Web Services | DeepSeek |
| Type | Closed source | Open source |
| Context window | ✓300K tokens | 128K tokens |
| Input / 1M tokens | $0.80 | ✓Free (self-host) |
| Output / 1M tokens | $3.20 | Free (self-host) |
| Release date | 2024-12 | 2024-12 |
Benchmarks
| Benchmark | Amazon Nova Pro | DeepSeek V3 |
|---|---|---|
| MMLU | ~85% | - |
| Pre-training scale | - | ~15T tokens |
Scores sourced from official provider release posts and independent benchmark aggregators.
Which should you choose?
Choose Amazon Nova Pro if...
- →You are building on AWS and want native Bedrock integration
- →You need multimodal understanding of images or video plus text
- →You want a cost-balanced general model with a large context
- →You need enterprise controls: data residency, service tiers, prompt caching
Choose DeepSeek V3 if...
- →You want a proven, stable open model with broad ecosystem support
- →You need to self-host or fine-tune without licensing friction
- →Cost is critical and you don't need V4's 1M context or top scores
- →You want reproducible open-weight behavior pinned to a known version