Llama 3.1 8B Turbo vs CodeGemma 7B

Compare Llama 3.1 8B Turbo and CodeGemma 7B: 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 3.1 8B Turbo CodeGemma 7B
CategoryCompactCode
Parameters8B7B
Context Window128K8K
Input Price$0.01/1M tokens$0.008/1M tokens
Output Price$0.02/1M tokens$0.015/1M tokens
Latency~60ms~60ms

Choose Llama 3.1 8B Turbo when:

  • ✓ Intent classification
  • ✓ Content filtering
  • ✓ Simple Q&A
Key Strengths:

Extremely fast, Very low cost, 128K context

Choose CodeGemma 7B when:

  • ✓ Code completion
  • ✓ Simple generation
  • ✓ Editor plugins
Key Strengths:

Compact, Fast code completion, Open weights

Verdict: Llama 3.1 8B Turbo vs CodeGemma 7B

For cost efficiency, CodeGemma 7B wins at $0.008/1M input tokens. For speed, CodeGemma 7B is faster at ~60ms. Llama 3.1 8B Turbo excels at Intent classification while CodeGemma 7B is better for Code completion. 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 3.1 8B Turbo costs $0.01/1M input tokens and $0.02/1M output tokens. CodeGemma 7B costs $0.008 input and $0.015 output. CodeGemma 7B is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.1 8B Turbo has a 128K context window with ~60ms latency. CodeGemma 7B offers 8K context at ~60ms. Llama 3.1 8B Turbo has the larger context window.

Best For

Llama 3.1 8B Turbo (Compact) is optimized for: Intent classification, Content filtering, Simple Q&A. CodeGemma 7B (Code) works best for: Code completion, Simple generation, Editor plugins.

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 3.1 8B Turbo
response_a = client.chat.completions.create(
    model="llama-3-1-8b-turbo",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use CodeGemma 7B
response_b = client.chat.completions.create(
    model="codegemma-7b",
    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, Llama 3.1 8B Turbo or CodeGemma 7B?

Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. CodeGemma 7B (Code, 7B) offers Compact. Choose Llama 3.1 8B Turbo for Intent classification or CodeGemma 7B for Code completion.

How much does Llama 3.1 8B Turbo cost vs CodeGemma 7B?

Llama 3.1 8B Turbo: $0.01/1M input, $0.02/1M output. CodeGemma 7B: $0.008/1M input, $0.015/1M 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 3.1 8B Turbo and CodeGemma 7B 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.