Amazon Nova Pro vs DeepSeek V4 Flash
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 Flash is meaningfully stronger at math (86 vs 68).
- •DeepSeek V4 Flash is open-weights (free to self-host); Amazon Nova Pro is paid API only.
- •DeepSeek V4 Flash has a 1M tokens context window vs 300K tokens - better for whole-repo or long-document work.
Specs comparison
| Amazon Nova Pro | DeepSeek V4 Flash | |
|---|---|---|
| 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 Flash |
|---|---|---|
| MMLU | ~85% | - |
| Reasoning (vs V4 Pro) | - | Closely approaches V4 Pro |
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 Flash if...
- →You want most of V4 Pro's capability at a lower price and higher throughput
- →You need long context but on a tighter compute or cost budget
- →You are serving high request volumes where per-token cost dominates
- →You want an open model small enough to self-host on modest multi-GPU setups