Llama 3.3 70B vs Pixtral Large

Compare Llama 3.3 70B and Pixtral Large: 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 3.3 70B Pixtral Large
CategoryOpen SourceVision
Parameters70B124B
Context Window128K128K
Input Price$0.04/1M tokens$0.06/1M tokens
Output Price$0.06/1M tokens$0.10/1M tokens
Latency~300ms~450ms

Choose Llama 3.3 70B when:

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

Proven reliability, Good Hindi/Tamil, 128K context

Choose Pixtral Large when:

  • ✓ Image analysis
  • ✓ Document understanding
  • ✓ Chart reading
Key Strengths:

Strong vision, Good reasoning, Multilingual

Verdict: Llama 3.3 70B vs Pixtral Large

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 3.3 70B excels at General Q&A while Pixtral Large is better for Image analysis. 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 3.3 70B costs $0.04/1M input tokens and $0.06/1M output tokens. Pixtral Large costs $0.06 input and $0.10 output. Llama 3.3 70B is 1.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.3 70B has a 128K context window with ~300ms latency. Pixtral Large offers 128K context at ~450ms. Both have identical context windows.

Best For

Llama 3.3 70B (Open Source) is optimized for: General Q&A, Hindi chatbots, Content generation. Pixtral Large (Vision) works best for: Image analysis, Document understanding, Chart reading.

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 3.3 70B
response_a = client.chat.completions.create(
    model="llama-3-3-70b",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Pixtral Large
response_b = client.chat.completions.create(
    model="pixtral-large",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.3 70B or Pixtral Large?

Llama 3.3 70B (Open Source, 70B) offers Proven reliability. Pixtral Large (Vision, 124B) offers Strong vision. Choose Llama 3.3 70B for General Q&A or Pixtral Large for Image analysis.

How much does Llama 3.3 70B cost vs Pixtral Large?

Llama 3.3 70B: $0.04/1M input, $0.06/1M output. Pixtral Large: $0.06/1M input, $0.10/1M 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 3.3 70B and Pixtral Large 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.