Mistral Small 3.1 vs ElevenLabs Turbo v2.5
Compare Mistral Small 3.1 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 | Mistral Small 3.1 | ElevenLabs Turbo v2.5 |
|---|---|---|
| Category | Compact | Speech |
| Parameters | 24B | Generative |
| Context Window | 128K | N/A |
| Input Price | $0.02/1M tokens | $0.02/1K/1M tokens |
| Output Price | $0.04/1M tokens | N/A/1M tokens |
| Latency | ~120ms | ~200ms |
Choose Mistral Small 3.1 when:
- ✓ Lightweight tasks
- ✓ Classification
- ✓ Simple generation
128K context, Low cost, Fast
Choose ElevenLabs Turbo v2.5 when:
- ✓ Premium voice apps
- ✓ Audiobooks
- ✓ Podcast generation
Most natural voices, Emotion control, 32 languages
Verdict: Mistral Small 3.1 vs ElevenLabs Turbo v2.5
For cost efficiency, Mistral Small 3.1 wins at $0.02/1M input tokens. For speed, Mistral Small 3.1 is faster at ~120ms. Mistral Small 3.1 excels at Lightweight tasks 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
Mistral Small 3.1 costs $0.02/1M input tokens and $0.04/1M output tokens. ElevenLabs Turbo v2.5 costs $0.02/1K input and N/A output. Mistral Small 3.1 is 1.1x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Mistral Small 3.1 has a 128K context window with ~120ms latency. ElevenLabs Turbo v2.5 offers N/A context at ~200ms. Mistral Small 3.1 has the larger context window.
Best For
Mistral Small 3.1 (Compact) is optimized for: Lightweight tasks, Classification, Simple generation. 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 Mistral Small 3.1
response_a = client.chat.completions.create(
model="mistral-small-3-1",
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, Mistral Small 3.1 or ElevenLabs Turbo v2.5?
Mistral Small 3.1 (Compact, 24B) offers 128K context. ElevenLabs Turbo v2.5 (Speech, Generative) offers Most natural voices. Choose Mistral Small 3.1 for Lightweight tasks or ElevenLabs Turbo v2.5 for Premium voice apps.
How much does Mistral Small 3.1 cost vs ElevenLabs Turbo v2.5?
Mistral Small 3.1: $0.02/1M input, $0.04/1M 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 Mistral Small 3.1 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.