Gemini 2.5 Pro vs Amazon Nova Micro
Compare Gemini 2.5 Pro and Amazon Nova Micro: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.
Updated 2026-05-21 · By Abhishek Raj · Our methodology
| Feature | Gemini 2.5 Pro | Amazon Nova Micro |
|---|---|---|
| Category | Frontier | Compact |
| Parameters | ~1.5T | ~8B |
| Context Window | 2M | 128K |
| Input Price | $0.07/1M tokens | $0.001/1M tokens |
| Output Price | $0.21/1M tokens | $0.004/1M tokens |
| Latency | ~600ms | ~50ms |
Choose Gemini 2.5 Pro when:
- ✓ Classical text analysis
- ✓ Multi-document reports
- ✓ Research
2M context, Strong multimodal, Long text analysis
Choose Amazon Nova Micro when:
- ✓ Classification
- ✓ Intent detection
- ✓ Preprocessing
Cheapest inference, Ultra-fast, Text-only
Verdict: Gemini 2.5 Pro vs Amazon Nova Micro
For cost efficiency, Amazon Nova Micro wins at $0.001/1M input tokens. For speed, Amazon Nova Micro is faster at ~50ms. Gemini 2.5 Pro excels at Classical text analysis while Amazon Nova Micro is better for Classification. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Gemini 2.5 Pro costs $0.07/1M input tokens and $0.21/1M output tokens. Amazon Nova Micro costs $0.001 input and $0.004 output. Amazon Nova Micro is 70.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Gemini 2.5 Pro has a 2M context window with ~600ms latency. Amazon Nova Micro offers 128K context at ~50ms. Gemini 2.5 Pro has the larger context window.
Best For
Gemini 2.5 Pro (Frontier) is optimized for: Classical text analysis, Multi-document reports, Research. Amazon Nova Micro (Compact) works best for: Classification, Intent detection, Preprocessing.
Try Both on XALEN
Both models are available through XALEN's OpenAI-compatible API. Switch between them by changing the model parameter:
from xalen import XALEN
client = XALEN(api_key="xln_test_YOUR_KEY")
# Use Gemini 2.5 Pro
response_a = client.chat.completions.create(
model="gemini-2-5-pro",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Amazon Nova Micro
response_b = client.chat.completions.create(
model="amazon-nova-micro",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Gemini 2.5 Pro or Amazon Nova Micro?
Gemini 2.5 Pro (Frontier, ~1.5T) offers 2M context. Amazon Nova Micro (Compact, ~8B) offers Cheapest inference. Choose Gemini 2.5 Pro for Classical text analysis or Amazon Nova Micro for Classification.
How much does Gemini 2.5 Pro cost vs Amazon Nova Micro?
Gemini 2.5 Pro: $0.07/1M input, $0.21/1M output. Amazon Nova Micro: $0.001/1M input, $0.004/1M output. Both available on XALEN with batch processing at 50% discount.
Can I use both models on XALEN?
Yes. XALEN provides 200+ models through a single OpenAI-compatible API. Switch between Gemini 2.5 Pro and Amazon Nova Micro by changing the model parameter. No code changes needed.
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Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.