Amazon Nova vs Gemini
Head-to-Head Performance Audit
Amazon Nova
Amazon Web ServicesAWS's hyper-efficient multimodal models integrated directly into Bedrock
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Gemini
Google DeepMindGoogle's multimodal AI leading on reasoning and ARC-AGI-2 benchmarks
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Gemini 3.1 Pro Preview by Google. Optimized for high intelligence.
Competitive Edge
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
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
Where to Choose Which?
Select Amazon Nova for:
- AWS Bedrock users
- High-volume text processing
- Enterprise workflows
Select Gemini for:
- Research tasks
- Multimodal workflows
- Google Workspace users
- Benchmark-critical applications
Frequently Asked Questions
Is Amazon Nova better than Gemini?
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, Amazon Nova or Gemini?
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 Amazon Nova pricing compare to Gemini?
Amazon Nova starts at Pay-per-use (paid) while Gemini starts at Free (freemium). Both require paid subscriptions for full access.
When should I choose Amazon Nova over Gemini?
Choose Amazon Nova when you need AWS Bedrock users or High-volume text processing. Choose Gemini when your priority is Research tasks or Multimodal workflows. Both tools serve different strengths depending on your workflow.