Amazon Nova Micro vs ElevenLabs Turbo v2.5
Compare Amazon Nova Micro and ElevenLabs Turbo v2.5: 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 | ElevenLabs Turbo v2.5 |
|---|---|---|
| Category | Compact | Speech |
| Parameters | ~8B | Generative |
| Context Window | 128K | N/A |
| Input Price | $0.001/1M tokens | $0.02/1K/1M tokens |
| Output Price | $0.004/1M tokens | N/A/1M tokens |
| Latency | ~50ms | ~200ms |
Choose Amazon Nova Micro when:
- ✓ Classification
- ✓ Intent detection
- ✓ Preprocessing
Cheapest inference, Ultra-fast, Text-only
Choose ElevenLabs Turbo v2.5 when:
- ✓ Premium voice apps
- ✓ Audiobooks
- ✓ Podcast generation
Most natural voices, Emotion control, 32 languages
Verdict: Amazon Nova Micro vs ElevenLabs Turbo v2.5
For cost efficiency, Amazon Nova Micro wins at $0.001/1M input tokens. For speed, ElevenLabs Turbo v2.5 is faster at ~200ms. Amazon Nova Micro excels at Classification while ElevenLabs Turbo v2.5 is better for Premium voice apps. 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. ElevenLabs Turbo v2.5 costs $0.02/1K input and N/A output. Amazon Nova Micro is 21.0x 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. ElevenLabs Turbo v2.5 offers N/A context at ~200ms. Amazon Nova Micro has the larger context window.
Best For
Amazon Nova Micro (Compact) is optimized for: Classification, Intent detection, Preprocessing. ElevenLabs Turbo v2.5 (Speech) works best for: Premium voice apps, Audiobooks, Podcast generation.
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 ElevenLabs Turbo v2.5
response_b = client.chat.completions.create(
model="elevenlabs-turbo-v2-5",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Amazon Nova Micro or ElevenLabs Turbo v2.5?
Amazon Nova Micro (Compact, ~8B) offers Cheapest inference. ElevenLabs Turbo v2.5 (Speech, Generative) offers Most natural voices. Choose Amazon Nova Micro for Classification or ElevenLabs Turbo v2.5 for Premium voice apps.
How much does Amazon Nova Micro cost vs ElevenLabs Turbo v2.5?
Amazon Nova Micro: $0.001/1M input, $0.004/1M output. ElevenLabs Turbo v2.5: $0.02/1K/1M input, N/A/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 ElevenLabs Turbo v2.5 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.