Gemma 3 1B vs Code Llama 70B

Compare Gemma 3 1B and Code Llama 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 Gemma 3 1B Code Llama 70B
CategoryCompactCode
Parameters1B70B
Context Window32K100K
Input Price$0.003/1M tokens$0.04/1M tokens
Output Price$0.006/1M tokens$0.06/1M tokens
Latency~20ms~300ms

Choose Gemma 3 1B when:

  • ✓ Edge inference
  • ✓ Classification
  • ✓ Routing
Key Strengths:

Tiny footprint, Fastest inference, Edge-ready

Choose Code Llama 70B when:

  • ✓ Large codebases
  • ✓ Code review
  • ✓ Refactoring
Key Strengths:

100K context, Strong coding, Fill-in-middle

Verdict: Gemma 3 1B vs Code Llama 70B

For cost efficiency, Gemma 3 1B wins at $0.003/1M input tokens. For speed, Gemma 3 1B is faster at ~20ms. Gemma 3 1B excels at Edge inference while Code Llama 70B is better for Large codebases. 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 1B costs $0.003/1M input tokens and $0.006/1M output tokens. Code Llama 70B costs $0.04 input and $0.06 output. Gemma 3 1B is 13.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Gemma 3 1B has a 32K context window with ~20ms latency. Code Llama 70B offers 100K context at ~300ms. Code Llama 70B has the larger context window.

Best For

Gemma 3 1B (Compact) is optimized for: Edge inference, Classification, Routing. Code Llama 70B (Code) works best for: Large codebases, Code review, Refactoring.

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 1B
response_a = client.chat.completions.create(
    model="gemma-3-1b",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Code Llama 70B
response_b = client.chat.completions.create(
    model="codellama-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, Gemma 3 1B or Code Llama 70B?

Gemma 3 1B (Compact, 1B) offers Tiny footprint. Code Llama 70B (Code, 70B) offers 100K context. Choose Gemma 3 1B for Edge inference or Code Llama 70B for Large codebases.

How much does Gemma 3 1B cost vs Code Llama 70B?

Gemma 3 1B: $0.003/1M input, $0.006/1M output. Code Llama 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 Gemma 3 1B and Code Llama 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.