Amazon Nova Micro vs CodeGemma 7B
Compare Amazon Nova Micro and CodeGemma 7B: 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 | Amazon Nova Micro | CodeGemma 7B |
|---|---|---|
| Category | Compact | Code |
| Parameters | ~8B | 7B |
| Context Window | 128K | 8K |
| Input Price | $0.001/1M tokens | $0.008/1M tokens |
| Output Price | $0.004/1M tokens | $0.015/1M tokens |
| Latency | ~50ms | ~60ms |
Choose Amazon Nova Micro when:
- ✓ Classification
- ✓ Intent detection
- ✓ Preprocessing
Cheapest inference, Ultra-fast, Text-only
Choose CodeGemma 7B when:
- ✓ Code completion
- ✓ Simple generation
- ✓ Editor plugins
Compact, Fast code completion, Open weights
Verdict: Amazon Nova Micro vs CodeGemma 7B
For cost efficiency, Amazon Nova Micro wins at $0.001/1M input tokens. For speed, Amazon Nova Micro is faster at ~50ms. Amazon Nova Micro excels at Classification while CodeGemma 7B is better for Code completion. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Amazon Nova Micro costs $0.001/1M input tokens and $0.004/1M output tokens. CodeGemma 7B costs $0.008 input and $0.015 output. Amazon Nova Micro is 8.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Amazon Nova Micro has a 128K context window with ~50ms latency. CodeGemma 7B offers 8K context at ~60ms. Amazon Nova Micro has the larger context window.
Best For
Amazon Nova Micro (Compact) is optimized for: Classification, Intent detection, Preprocessing. CodeGemma 7B (Code) works best for: Code completion, Simple generation, Editor plugins.
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 Amazon Nova Micro
response_a = client.chat.completions.create(
model="amazon-nova-micro",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use CodeGemma 7B
response_b = client.chat.completions.create(
model="codegemma-7b",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Amazon Nova Micro or CodeGemma 7B?
Amazon Nova Micro (Compact, ~8B) offers Cheapest inference. CodeGemma 7B (Code, 7B) offers Compact. Choose Amazon Nova Micro for Classification or CodeGemma 7B for Code completion.
How much does Amazon Nova Micro cost vs CodeGemma 7B?
Amazon Nova Micro: $0.001/1M input, $0.004/1M output. CodeGemma 7B: $0.008/1M input, $0.015/1M 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 Amazon Nova Micro and CodeGemma 7B 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.