Amazon Nova Pro vs Gemini 3.5
Pricing, benchmarks, and use case comparison
Quick take
- •Gemini 3.5 is meaningfully stronger at coding (90 vs 68).
- •Amazon Nova Pro is 47% 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 (Gemini 3.5 Flash; Pro variant not yet released) - better for whole-repo or long-document work.
Specs comparison
| Amazon Nova Pro | Gemini 3.5 | |
|---|---|---|
| Provider | Amazon Web Services | Google DeepMind |
| Type | Closed source | Closed source |
| Context window | ✓300K tokens | 1,048,576 tokens (Gemini 3.5 Flash; Pro variant not yet released) |
| Input / 1M tokens | ✓$0.80 | $1.50 |
| Output / 1M tokens | $3.20 | $9.00 |
| Release date | 2024-12 | 2026-05 |
Benchmarks
| Benchmark | Amazon Nova Pro | Gemini 3.5 |
|---|---|---|
| MMLU | ~85% | - |
| Terminal-Bench 2.1 (coding) | - | 76.2% |
| MCP Atlas (tool use) | - | 83.6% |
| CharXiv Reasoning (multimodal) | - | 84.2% |
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 3.5 if...
- →You need frontier agent/coding performance without frontier prices
- →Building autonomous agents that make many tool calls
- →High-throughput production workloads that were previously too costly on a Pro model
- →You want a strong default multimodal model with a 1M-token context window