CodeGemma 7B vs Code Llama 70B

Compare CodeGemma 7B 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 CodeGemma 7B Code Llama 70B
CategoryCodeCode
Parameters7B70B
Context Window8K100K
Input Price$0.008/1M tokens$0.04/1M tokens
Output Price$0.015/1M tokens$0.06/1M tokens
Latency~60ms~300ms

Choose CodeGemma 7B when:

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

Compact, Fast code completion, Open weights

Choose Code Llama 70B when:

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

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

Verdict: CodeGemma 7B vs Code Llama 70B

For cost efficiency, CodeGemma 7B wins at $0.008/1M input tokens. For speed, Code Llama 70B is faster at ~300ms. CodeGemma 7B excels at Code completion 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

CodeGemma 7B costs $0.008/1M input tokens and $0.015/1M output tokens. Code Llama 70B costs $0.04 input and $0.06 output. CodeGemma 7B is 5.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

CodeGemma 7B has a 8K context window with ~60ms latency. Code Llama 70B offers 100K context at ~300ms. Code Llama 70B has the larger context window.

Best For

CodeGemma 7B (Code) is optimized for: Code completion, Simple generation, Editor plugins. 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 CodeGemma 7B
response_a = client.chat.completions.create(
    model="codegemma-7b",
    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"}]
)

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Frequently Asked Questions

Which is better, CodeGemma 7B or Code Llama 70B?

CodeGemma 7B (Code, 7B) offers Compact. Code Llama 70B (Code, 70B) offers 100K context. Choose CodeGemma 7B for Code completion or Code Llama 70B for Large codebases.

How much does CodeGemma 7B cost vs Code Llama 70B?

CodeGemma 7B: $0.008/1M input, $0.015/1M 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 CodeGemma 7B 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.