Whisper Large V3 vs Mistral Medium 3

Compare Whisper Large V3 and Mistral Medium 3: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

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Feature Whisper Large V3 Mistral Medium 3
CategorySpeechOpen Source
Parameters1.55B70B
Context Window30s128K
Input Price$0.01/min/1M tokens$0.04/1M tokens
Output PriceN/A/1M tokens$0.08/1M tokens
Latency~200ms~300ms

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 Medium 3 when:

  • ✓ Production APIs
  • ✓ Template filling
  • ✓ General purpose
Key Strengths:

Good balance, Strong function calling, Reliable

Verdict: Whisper Large V3 vs Mistral Medium 3

For cost efficiency, Whisper Large V3 wins at $0.01/min/1M input tokens. For speed, Whisper Large V3 is faster at ~200ms. Whisper Large V3 excels at Voice astrology apps while Mistral Medium 3 is better for Production APIs. 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 Medium 3 costs $0.04 input and $0.08 output. Whisper Large V3 is 4.0x 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 Medium 3 offers 128K context at ~300ms. Mistral Medium 3 has the larger context window.

Best For

Whisper Large V3 (Speech) is optimized for: Voice astrology apps, Temple voice assistants, Transcription. Mistral Medium 3 (Open Source) works best for: Production APIs, Template filling, General purpose.

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 Medium 3
response_b = client.chat.completions.create(
    model="mistral-medium-3",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Whisper Large V3 or Mistral Medium 3?

Whisper Large V3 (Speech, 1.55B) offers 14+ Indian languages. Mistral Medium 3 (Open Source, 70B) offers Good balance. Choose Whisper Large V3 for Voice astrology apps or Mistral Medium 3 for Production APIs.

How much does Whisper Large V3 cost vs Mistral Medium 3?

Whisper Large V3: $0.01/min/1M input, N/A/1M output. Mistral Medium 3: $0.04/1M input, $0.08/1M 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 Medium 3 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.