Amazon Nova Pro vs Llama 4
2026 - Pricing, benchmarks, and use case comparison
Quick take
- •Llama 4 is open-weights - free to self-host with no API costs. Amazon Nova Pro requires paid API access.
- •Llama 4 has a 10M context window - 33x larger than Amazon Nova Pro's 300K. Better for long documents and large codebases.
- •Llama 4 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 | Llama 4 | |
|---|---|---|
| Provider | Amazon Web Services | Meta |
| Type | Closed source | Open source |
| Context window | 300K | ✓10M |
| Input / 1M tokens | $0.80 | ✓Free (self-host) |
| Output / 1M tokens | $3.20 | Free (self-host) |
| Release date | 2024-12 | 2025-04 |
Benchmarks
| Benchmark | Amazon Nova Pro | Llama 4 |
|---|---|---|
| MMLU | ~85% | ~85% |
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
Llama 4
- ✓Fully open weights - no usage restrictions
- ✓10M context in Llama 4 Scout variant
- ✓Native multimodal support
- ✓Strong performance relative to size
- ✓Enormous ecosystem of community tools and fine-tunes
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 Llama 4 if you need...
- →Self-hosted and on-premise deployments
- →Privacy-sensitive workloads
- →Custom fine-tuning
- →Researchers and open-source builders