Amazon Nova Pro vs DeepSeek V4
Pricing, benchmarks, and use case comparison
Quick take
- •Amazon Nova Pro is meaningfully stronger at multimodal (85 vs 10 on our capability index).
- •DeepSeek V4 is meaningfully stronger at coding (93 vs 68).
- •DeepSeek V4 is open-weights (free to self-host); Amazon Nova Pro is paid API only.
- •DeepSeek V4 has a 1M tokens context window vs 300K tokens - better for whole-repo or long-document work.
Specs comparison
| Amazon Nova Pro | DeepSeek V4 | |
|---|---|---|
| Provider | Amazon Web Services | DeepSeek |
| Type | Closed source | Open source |
| Context window | 300K tokens | ✓1M tokens |
| Input / 1M tokens | $0.80 | ✓Free (self-host) |
| Output / 1M tokens | $3.20 | Free (self-host) |
| Release date | 2024-12 | 2026-04 |
Benchmarks
| Benchmark | Amazon Nova Pro | DeepSeek V4 |
|---|---|---|
| MMLU | ~85% | - |
| SWE-bench Verified | - | 80.6% |
| Math / STEM / Coding (open-model comparison) | - | Best among open models (per DeepSeek) |
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 V4 if...
- →You need a frontier-class open model you can self-host for data control
- →Your workload involves very long documents, codebases, or agent trajectories (up to 1M tokens)
- →You want top-tier agentic coding at a fraction of closed-model cost
- →You need to fine-tune or customize a strong base model