Whisper Large V3 vs Llama 3.1 405B

Compare Whisper Large V3 and Llama 3.1 405B: 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 405B
CategorySpeechOpen Source
Parameters1.55B405B
Context Window30s128K
Input Price$0.01/min/1M tokens$0.08/1M tokens
Output PriceN/A/1M tokens$0.14/1M tokens
Latency~200ms~600ms

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 405B when:

  • ✓ Premium tasks
  • ✓ Research
  • ✓ Fine-tuning base
Key Strengths:

Largest open model, Highest open-source quality

Verdict: Whisper Large V3 vs Llama 3.1 405B

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 Llama 3.1 405B is better for Premium 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. Llama 3.1 405B costs $0.08 input and $0.14 output. Whisper Large V3 is 8.0x 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. Llama 3.1 405B offers 128K context at ~600ms. Llama 3.1 405B has the larger context window.

Best For

Whisper Large V3 (Speech) is optimized for: Voice astrology apps, Temple voice assistants, Transcription. Llama 3.1 405B (Open Source) works best for: Premium tasks, Research, Fine-tuning base.

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 405B
response_b = client.chat.completions.create(
    model="llama-3-1-405b",
    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 405B?

Whisper Large V3 (Speech, 1.55B) offers 14+ Indian languages. Llama 3.1 405B (Open Source, 405B) offers Largest open model. Choose Whisper Large V3 for Voice astrology apps or Llama 3.1 405B for Premium tasks.

How much does Whisper Large V3 cost vs Llama 3.1 405B?

Whisper Large V3: $0.01/min/1M input, N/A/1M output. Llama 3.1 405B: $0.08/1M input, $0.14/1M 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 405B by changing the model parameter. No code changes needed.

Related Comparisons

Whisper Large V3 vs Gemma 3 27B Whisper Large V3 vs Llama 4 Scout Whisper Large V3 vs Llama 4 Maverick Whisper Large V3 vs Llama 3.3 70B Whisper Large V3 vs Llama 3.1 70B Turbo Whisper Large V3 vs DeepSeek V3

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