Amazon Nova Pro vs Gemma 3
Pricing, benchmarks, and use case comparison
Quick take
- •Amazon Nova Pro is meaningfully stronger at multimodal (85 vs 70 on our capability index).
- •Gemma 3 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 (32K for the 1B variant) - better for whole-repo or long-document work.
Specs comparison
| Amazon Nova Pro | Gemma 3 | |
|---|---|---|
| Provider | Amazon Web Services | Google DeepMind |
| Type | Closed source | Open source |
| Context window | ✓300K tokens | 128K tokens (32K for the 1B variant) |
| Input / 1M tokens | $0.80 | ✓Free (self-host) |
| Output / 1M tokens | $3.20 | Free (self-host) |
| Release date | 2024-12 | 2025-03 |
Benchmarks
| Benchmark | Amazon Nova Pro | Gemma 3 |
|---|---|---|
| MMLU | ~85% | - |
| MATH (27B) | - | 89% |
| MMMU (27B, multimodal) | - | 64.9% |
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 Gemma 3 if...
- →You need an open, self-hostable model with a size to match your hardware
- →Multilingual or multimodal tasks on-prem
- →Privacy-sensitive or offline deployments
- →Fine-tuning on your own data