Codestral vs Gemma 3 1B

Compare Codestral and Gemma 3 1B: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

All Mistral models All Google models What is an LLM API? Python Quickstart What is inference?
Feature Codestral Gemma 3 1B
CategoryCodeCompact
Parameters22B1B
Context Window256K32K
Input Price$0.03/1M tokens$0.003/1M tokens
Output Price$0.05/1M tokens$0.006/1M tokens
Latency~200ms~20ms

Choose Codestral when:

  • ✓ API integration code
  • ✓ SDK generation
  • ✓ Code review
Key Strengths:

256K context for code, Strong code generation, Good APIs

Choose Gemma 3 1B when:

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

Tiny footprint, Fastest inference, Edge-ready

Verdict: Codestral vs Gemma 3 1B

For cost efficiency, Gemma 3 1B wins at $0.003/1M input tokens. For speed, Codestral is faster at ~200ms. Codestral excels at API integration code while Gemma 3 1B is better for Edge inference. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Codestral costs $0.03/1M input tokens and $0.05/1M output tokens. Gemma 3 1B costs $0.003 input and $0.006 output. Gemma 3 1B is 10.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Codestral has a 256K context window with ~200ms latency. Gemma 3 1B offers 32K context at ~20ms. Codestral has the larger context window.

Best For

Codestral (Code) is optimized for: API integration code, SDK generation, Code review. Gemma 3 1B (Compact) works best for: Edge inference, Classification, Routing.

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 Codestral
response_a = client.chat.completions.create(
    model="codestral",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Gemma 3 1B
response_b = client.chat.completions.create(
    model="gemma-3-1b",
    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, Codestral or Gemma 3 1B?

Codestral (Code, 22B) offers 256K context for code. Gemma 3 1B (Compact, 1B) offers Tiny footprint. Choose Codestral for API integration code or Gemma 3 1B for Edge inference.

How much does Codestral cost vs Gemma 3 1B?

Codestral: $0.03/1M input, $0.05/1M output. Gemma 3 1B: $0.003/1M input, $0.006/1M 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 Codestral and Gemma 3 1B 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.