Vedika Fast vs Mistral Small 3.1
Compare Vedika Fast and Mistral Small 3.1: 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 | Vedika Fast | Mistral Small 3.1 |
|---|---|---|
| Category | Domain Specialist | Compact |
| Parameters | 8B | 24B |
| Context Window | 32K | 128K |
| Input Price | $0.04/1M tokens | $0.02/1M tokens |
| Output Price | $0.06/1M tokens | $0.04/1M tokens |
| Latency | ~120ms | ~120ms |
Choose Vedika Fast when:
- ✓ Voice astrology bots
- ✓ Real-time chatbots
- ✓ Temple kiosks
Sub-200ms latency, Voice-optimized, Real-time chat
Choose Mistral Small 3.1 when:
- ✓ Lightweight tasks
- ✓ Classification
- ✓ Simple generation
128K context, Low cost, Fast
Verdict: Vedika Fast vs Mistral Small 3.1
For cost efficiency, Mistral Small 3.1 wins at $0.02/1M input tokens. For speed, Mistral Small 3.1 is faster at ~120ms. Vedika Fast excels at Voice astrology bots while Mistral Small 3.1 is better for Lightweight tasks. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Vedika Fast costs $0.04/1M input tokens and $0.06/1M output tokens. Mistral Small 3.1 costs $0.02 input and $0.04 output. Mistral Small 3.1 is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Vedika Fast has a 32K context window with ~120ms latency. Mistral Small 3.1 offers 128K context at ~120ms. Mistral Small 3.1 has the larger context window.
Best For
Vedika Fast (Domain Specialist) is optimized for: Voice astrology bots, Real-time chatbots, Temple kiosks. Mistral Small 3.1 (Compact) works best for: Lightweight tasks, Classification, Simple 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 Vedika Fast
response_a = client.chat.completions.create(
model="vedika-fast",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Mistral Small 3.1
response_b = client.chat.completions.create(
model="mistral-small-3-1",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Fast or Mistral Small 3.1?
Vedika Fast (Domain Specialist, 8B) offers Sub-200ms latency. Mistral Small 3.1 (Compact, 24B) offers 128K context. Choose Vedika Fast for Voice astrology bots or Mistral Small 3.1 for Lightweight tasks.
How much does Vedika Fast cost vs Mistral Small 3.1?
Vedika Fast: $0.04/1M input, $0.06/1M output. Mistral Small 3.1: $0.02/1M input, $0.04/1M 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 Vedika Fast and Mistral Small 3.1 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.