Whisper Large V3 vs Llama 3.1 8B Turbo

Compare Whisper Large V3 and Llama 3.1 8B Turbo: 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 Meta models What is an LLM API? Python Quickstart What is inference?
Feature Whisper Large V3 Llama 3.1 8B Turbo
CategorySpeechCompact
Parameters1.55B8B
Context Window30s128K
Input Price$0.01/min/1M tokens$0.01/1M tokens
Output PriceN/A/1M tokens$0.02/1M tokens
Latency~200ms~60ms

Choose Whisper Large V3 when:

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

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

Choose Llama 3.1 8B Turbo when:

  • ✓ Intent classification
  • ✓ Content filtering
  • ✓ Simple Q&A
Key Strengths:

Extremely fast, Very low cost, 128K context

Verdict: Whisper Large V3 vs Llama 3.1 8B Turbo

For cost efficiency, Llama 3.1 8B Turbo wins at $0.01/1M input tokens. For speed, Whisper Large V3 is faster at ~200ms. Whisper Large V3 excels at Voice astrology apps while Llama 3.1 8B Turbo is better for Intent classification. 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. Llama 3.1 8B Turbo costs $0.01 input and $0.02 output. Both models are similarly priced. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Whisper Large V3 has a 30s context window with ~200ms latency. Llama 3.1 8B Turbo offers 128K context at ~60ms. Llama 3.1 8B Turbo has the larger context window.

Best For

Whisper Large V3 (Speech) is optimized for: Voice astrology apps, Temple voice assistants, Transcription. Llama 3.1 8B Turbo (Compact) works best for: Intent classification, Content filtering, Simple Q&A.

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 Llama 3.1 8B Turbo
response_b = client.chat.completions.create(
    model="llama-3-1-8b-turbo",
    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 Llama 3.1 8B Turbo?

Whisper Large V3 (Speech, 1.55B) offers 14+ Indian languages. Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. Choose Whisper Large V3 for Voice astrology apps or Llama 3.1 8B Turbo for Intent classification.

How much does Whisper Large V3 cost vs Llama 3.1 8B Turbo?

Whisper Large V3: $0.01/min/1M input, N/A/1M output. Llama 3.1 8B Turbo: $0.01/1M input, $0.02/1M 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 Llama 3.1 8B Turbo 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.