Gemini vs Amazon Nova
Head-to-Head Performance Audit
Gemini
Google DeepMindGoogle's multimodal AI leading on reasoning and ARC-AGI-2 benchmarks
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Amazon Nova
Amazon Web ServicesAWS's hyper-efficient multimodal models integrated directly into Bedrock
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Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview by Google. Optimized for high intelligence.
Competitive Edge
Gemini Verdict
Key Strengths
- #1 on ARC-AGI-2 (77.1%)
- Best GPQA Diamond score (94.3%)
- Native multimodal from ground up
- Real-time Google Search integration
Limitations
- Workspace integration required for full features
- Some features US-only
- Less coding focus than Claude
Amazon Nova Verdict
Key Strengths
- Ultra-cheap Micro tier
- Native AWS integration
- Enterprise-grade SLAs
- 300K context window
Limitations
- Locked to AWS ecosystem
- Not open weight
- Less "wow-factor" than frontier leaders
Where to Choose Which?
Select Gemini for:
- Research tasks
- Multimodal workflows
- Google Workspace users
- Benchmark-critical applications
Select Amazon Nova for:
- AWS Bedrock users
- High-volume text processing
- Enterprise workflows
Frequently Asked Questions
Is Gemini better than Amazon Nova?
Based on our benchmark analysis, Gemini scores higher on average across key metrics (SWE-Bench, GPQA Diamond, ARC-AGI-2) with a composite average of 84.0% vs 70.3%. However, Amazon Nova may still be the better choice depending on your specific use case and budget.
Which is better for coding, Gemini or Amazon Nova?
Gemini scores 80.6% on SWE-Bench Verified compared to Amazon Nova's 68.5%. SWE-Bench measures real-world GitHub issue resolution, making it the most reliable coding benchmark. Gemini is the stronger choice for developers.
How does Gemini pricing compare to Amazon Nova?
Gemini starts at Free (freemium) while Amazon Nova starts at Pay-per-use (paid). Both require paid subscriptions for full access.
When should I choose Gemini over Amazon Nova?
Choose Gemini when you need Research tasks or Multimodal workflows. Choose Amazon Nova when your priority is AWS Bedrock users or High-volume text processing. Both tools serve different strengths depending on your workflow.