Whisper Large V3 vs Mistral Small 3.1

Compare Whisper Large V3 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

All OpenAI models All Mistral models What is an LLM API? Python Quickstart What is inference?
Feature Whisper Large V3 Mistral Small 3.1
CategorySpeechCompact
Parameters1.55B24B
Context Window30s128K
Input Price$0.01/min/1M tokens$0.02/1M tokens
Output PriceN/A/1M tokens$0.04/1M tokens
Latency~200ms~120ms

Choose Whisper Large V3 when:

  • ✓ Voice astrology apps
  • ✓ Temple voice assistants
  • ✓ Transcription
Key Strengths:

14+ Indian languages, Robust to accents, Real-time capable

Choose Mistral Small 3.1 when:

  • ✓ Lightweight tasks
  • ✓ Classification
  • ✓ Simple generation
Key Strengths:

128K context, Low cost, Fast

Verdict: Whisper Large V3 vs Mistral Small 3.1

For cost efficiency, Whisper Large V3 wins at $0.01/min/1M input tokens. For speed, Mistral Small 3.1 is faster at ~120ms. Whisper Large V3 excels at Voice astrology apps 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

Whisper Large V3 costs $0.01/min/1M input tokens and N/A/1M output tokens. Mistral Small 3.1 costs $0.02 input and $0.04 output. Whisper Large V3 is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Whisper Large V3 has a 30s context window with ~200ms latency. Mistral Small 3.1 offers 128K context at ~120ms. Mistral Small 3.1 has the larger context window.

Best For

Whisper Large V3 (Speech) is optimized for: Voice astrology apps, Temple voice assistants, Transcription. 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 Whisper Large V3
response_a = client.chat.completions.create(
    model="whisper-large-v3",
    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"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Whisper Large V3 or Mistral Small 3.1?

Whisper Large V3 (Speech, 1.55B) offers 14+ Indian languages. Mistral Small 3.1 (Compact, 24B) offers 128K context. Choose Whisper Large V3 for Voice astrology apps or Mistral Small 3.1 for Lightweight tasks.

How much does Whisper Large V3 cost vs Mistral Small 3.1?

Whisper Large V3: $0.01/min/1M input, N/A/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 Whisper Large V3 and Mistral Small 3.1 by changing the model parameter. No code changes needed.

Related Comparisons

Whisper Large V3 vs GPT-4.1 Nano Whisper Large V3 vs GPT-4o Mini Whisper Large V3 vs Claude Haiku 3.5 Whisper Large V3 vs Gemma 3 12B Whisper Large V3 vs Gemma 3 4B Whisper Large V3 vs Gemini 2.5 Flash Lite

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.