Amazon Nova Pro vs Gemini 2.5 Flash
Pricing, benchmarks, and use case comparison
Quick take
- •Gemini 2.5 Flash is meaningfully stronger at speed (90 vs 80).
- •Gemini 2.5 Flash is 63% cheaper on input tokens, which compounds fast on high-volume or agentic workloads.
- •Amazon Nova Pro has a 300K tokens context window vs 1,048,576 tokens (1M) input; up to 65,535 output - better for whole-repo or long-document work.
Specs comparison
| Amazon Nova Pro | Gemini 2.5 Flash | |
|---|---|---|
| Provider | Amazon Web Services | Google DeepMind |
| Type | Closed source | Closed source |
| Context window | ✓300K tokens | 1,048,576 tokens (1M) input; up to 65,535 output |
| Input / 1M tokens | $0.80 | ✓$0.30 |
| Output / 1M tokens | $3.20 | $2.50 |
| Release date | 2024-12 | 2025-06 |
Benchmarks
| Benchmark | Amazon Nova Pro | Gemini 2.5 Flash |
|---|---|---|
| MMLU | ~85% | - |
| Context window | - | 1M tokens |
| Input price | - | $0.30/1M |
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 Gemini 2.5 Flash if...
- →High-volume, latency-sensitive production workloads
- →Chatbots, extraction, classification, and summarization at scale
- →You need decent reasoning but must control costs