Mistral Small 3.1 vs CodeGemma 7B

Compare Mistral Small 3.1 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 Mistral Small 3.1 CodeGemma 7B
CategoryCompactCode
Parameters24B7B
Context Window128K8K
Input Price$0.02/1M tokens$0.008/1M tokens
Output Price$0.04/1M tokens$0.015/1M tokens
Latency~120ms~60ms

Choose Mistral Small 3.1 when:

  • ✓ Lightweight tasks
  • ✓ Classification
  • ✓ Simple generation
Key Strengths:

128K context, Low cost, Fast

Choose CodeGemma 7B when:

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

Compact, Fast code completion, Open weights

Verdict: Mistral Small 3.1 vs CodeGemma 7B

For cost efficiency, CodeGemma 7B wins at $0.008/1M input tokens. For speed, Mistral Small 3.1 is faster at ~120ms. Mistral Small 3.1 excels at Lightweight tasks 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

Mistral Small 3.1 costs $0.02/1M input tokens and $0.04/1M output tokens. CodeGemma 7B costs $0.008 input and $0.015 output. CodeGemma 7B is 2.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Mistral Small 3.1 has a 128K context window with ~120ms latency. CodeGemma 7B offers 8K context at ~60ms. Mistral Small 3.1 has the larger context window.

Best For

Mistral Small 3.1 (Compact) is optimized for: Lightweight tasks, Classification, Simple generation. 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 Mistral Small 3.1
response_a = client.chat.completions.create(
    model="mistral-small-3-1",
    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"}]
)

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Frequently Asked Questions

Which is better, Mistral Small 3.1 or CodeGemma 7B?

Mistral Small 3.1 (Compact, 24B) offers 128K context. CodeGemma 7B (Code, 7B) offers Compact. Choose Mistral Small 3.1 for Lightweight tasks or CodeGemma 7B for Code completion.

How much does Mistral Small 3.1 cost vs CodeGemma 7B?

Mistral Small 3.1: $0.02/1M input, $0.04/1M 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 Mistral Small 3.1 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.