Amazon Nova Micro vs Code Llama 70B
Compare Amazon Nova Micro and Code Llama 70B: 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 | Code Llama 70B |
|---|---|---|
| Category | Compact | Code |
| Parameters | ~8B | 70B |
| Context Window | 128K | 100K |
| Input Price | $0.001/1M tokens | $0.04/1M tokens |
| Output Price | $0.004/1M tokens | $0.06/1M tokens |
| Latency | ~50ms | ~300ms |
Choose Amazon Nova Micro when:
- ✓ Classification
- ✓ Intent detection
- ✓ Preprocessing
Cheapest inference, Ultra-fast, Text-only
Choose Code Llama 70B when:
- ✓ Large codebases
- ✓ Code review
- ✓ Refactoring
100K context, Strong coding, Fill-in-middle
Verdict: Amazon Nova Micro vs Code Llama 70B
For cost efficiency, Amazon Nova Micro wins at $0.001/1M input tokens. For speed, Code Llama 70B is faster at ~300ms. Amazon Nova Micro excels at Classification while Code Llama 70B is better for Large codebases. 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. Code Llama 70B costs $0.04 input and $0.06 output. Amazon Nova Micro is 40.0x 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. Code Llama 70B offers 100K context at ~300ms. Amazon Nova Micro has the larger context window.
Best For
Amazon Nova Micro (Compact) is optimized for: Classification, Intent detection, Preprocessing. Code Llama 70B (Code) works best for: Large codebases, Code review, Refactoring.
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 Code Llama 70B
response_b = client.chat.completions.create(
model="codellama-70b",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Amazon Nova Micro or Code Llama 70B?
Amazon Nova Micro (Compact, ~8B) offers Cheapest inference. Code Llama 70B (Code, 70B) offers 100K context. Choose Amazon Nova Micro for Classification or Code Llama 70B for Large codebases.
How much does Amazon Nova Micro cost vs Code Llama 70B?
Amazon Nova Micro: $0.001/1M input, $0.004/1M output. Code Llama 70B: $0.04/1M input, $0.06/1M 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 Code Llama 70B 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.