Llama 4 Scout vs Llama 3.3 70B

Compare Llama 4 Scout and Llama 3.3 70B: 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 Llama 4 Scout Llama 3.3 70B
CategoryOpen SourceOpen Source
Parameters109B (17B active)70B
Context Window512K128K
Input Price$0.05/1M tokens$0.04/1M tokens
Output Price$0.08/1M tokens$0.06/1M tokens
Latency~350ms~300ms

Choose Llama 4 Scout when:

  • ✓ Classical text analysis
  • ✓ Long content
  • ✓ Multi-turn
Key Strengths:

512K context, MoE efficiency, Strong multilingual

Choose Llama 3.3 70B when:

  • ✓ General Q&A
  • ✓ Hindi chatbots
  • ✓ Content generation
Key Strengths:

Proven reliability, Good Hindi/Tamil, 128K context

Verdict: Llama 4 Scout vs Llama 3.3 70B

For cost efficiency, Llama 3.3 70B wins at $0.04/1M input tokens. For speed, Llama 3.3 70B is faster at ~300ms. Llama 4 Scout excels at Classical text analysis while Llama 3.3 70B is better for General Q&A. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Llama 4 Scout costs $0.05/1M input tokens and $0.08/1M output tokens. Llama 3.3 70B costs $0.04 input and $0.06 output. Llama 3.3 70B is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 4 Scout has a 512K context window with ~350ms latency. Llama 3.3 70B offers 128K context at ~300ms. Llama 4 Scout has the larger context window.

Best For

Llama 4 Scout (Open Source) is optimized for: Classical text analysis, Long content, Multi-turn. Llama 3.3 70B (Open Source) works best for: General Q&A, Hindi chatbots, Content 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 Llama 4 Scout
response_a = client.chat.completions.create(
    model="llama-4-scout",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Llama 3.3 70B
response_b = client.chat.completions.create(
    model="llama-3-3-70b",
    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, Llama 4 Scout or Llama 3.3 70B?

Llama 4 Scout (Open Source, 109B (17B active)) offers 512K context. Llama 3.3 70B (Open Source, 70B) offers Proven reliability. Choose Llama 4 Scout for Classical text analysis or Llama 3.3 70B for General Q&A.

How much does Llama 4 Scout cost vs Llama 3.3 70B?

Llama 4 Scout: $0.05/1M input, $0.08/1M output. Llama 3.3 70B: $0.04/1M input, $0.06/1M 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 Llama 4 Scout and Llama 3.3 70B 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.