Gemma 3 4B vs Llama 3.1 70B Turbo

Compare Gemma 3 4B and Llama 3.1 70B 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

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Feature Gemma 3 4B Llama 3.1 70B Turbo
CategoryCompactOpen Source
Parameters4B70B
Context Window128K128K
Input Price$0.008/1M tokens$0.04/1M tokens
Output Price$0.015/1M tokens$0.06/1M tokens
Latency~60ms~250ms

Choose Gemma 3 4B when:

  • ✓ Intent detection
  • ✓ Keyword extraction
  • ✓ Preprocessing
Key Strengths:

Ultra-small, Fastest inference, Minimal cost

Choose Llama 3.1 70B Turbo when:

  • ✓ Production APIs
  • ✓ Fast generation
  • ✓ General purpose
Key Strengths:

Fast inference, Good quality, Well-tested

Verdict: Gemma 3 4B vs Llama 3.1 70B Turbo

For cost efficiency, Gemma 3 4B wins at $0.008/1M input tokens. For speed, Llama 3.1 70B Turbo is faster at ~250ms. Gemma 3 4B excels at Intent detection while Llama 3.1 70B Turbo 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

Gemma 3 4B costs $0.008/1M input tokens and $0.015/1M output tokens. Llama 3.1 70B Turbo costs $0.04 input and $0.06 output. Gemma 3 4B is 5.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Gemma 3 4B has a 128K context window with ~60ms latency. Llama 3.1 70B Turbo offers 128K context at ~250ms. Both have identical context windows.

Best For

Gemma 3 4B (Compact) is optimized for: Intent detection, Keyword extraction, Preprocessing. Llama 3.1 70B Turbo (Open Source) works best for: Production APIs, Fast generation, 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 Gemma 3 4B
response_a = client.chat.completions.create(
    model="gemma-3-4b",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Llama 3.1 70B Turbo
response_b = client.chat.completions.create(
    model="llama-3-1-70b-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, Gemma 3 4B or Llama 3.1 70B Turbo?

Gemma 3 4B (Compact, 4B) offers Ultra-small. Llama 3.1 70B Turbo (Open Source, 70B) offers Fast inference. Choose Gemma 3 4B for Intent detection or Llama 3.1 70B Turbo for Production APIs.

How much does Gemma 3 4B cost vs Llama 3.1 70B Turbo?

Gemma 3 4B: $0.008/1M input, $0.015/1M output. Llama 3.1 70B Turbo: $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 Gemma 3 4B and Llama 3.1 70B Turbo 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.