Codestral vs Pixtral Large

Compare Codestral and Pixtral Large: 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 Codestral Pixtral Large
CategoryCodeVision
Parameters22B124B
Context Window256K128K
Input Price$0.03/1M tokens$0.06/1M tokens
Output Price$0.05/1M tokens$0.10/1M tokens
Latency~200ms~450ms

Choose Codestral when:

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

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

Choose Pixtral Large when:

  • ✓ Image analysis
  • ✓ Document understanding
  • ✓ Chart reading
Key Strengths:

Strong vision, Good reasoning, Multilingual

Verdict: Codestral vs Pixtral Large

For cost efficiency, Codestral wins at $0.03/1M input tokens. For speed, Codestral is faster at ~200ms. Codestral excels at API integration code while Pixtral Large is better for Image analysis. 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. Pixtral Large costs $0.06 input and $0.10 output. Codestral is 2.0x 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. Pixtral Large offers 128K context at ~450ms. Codestral has the larger context window.

Best For

Codestral (Code) is optimized for: API integration code, SDK generation, Code review. Pixtral Large (Vision) works best for: Image analysis, Document understanding, Chart reading.

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 Pixtral Large
response_b = client.chat.completions.create(
    model="pixtral-large",
    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, Codestral or Pixtral Large?

Codestral (Code, 22B) offers 256K context for code. Pixtral Large (Vision, 124B) offers Strong vision. Choose Codestral for API integration code or Pixtral Large for Image analysis.

How much does Codestral cost vs Pixtral Large?

Codestral: $0.03/1M input, $0.05/1M output. Pixtral Large: $0.06/1M input, $0.10/1M 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 Pixtral Large 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.