Llama 3.2 90B Vision vs Codestral

Compare Llama 3.2 90B Vision and Codestral: 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 3.2 90B Vision Codestral
CategoryVisionCode
Parameters90B22B
Context Window128K256K
Input Price$0.06/1M tokens$0.03/1M tokens
Output Price$0.10/1M tokens$0.05/1M tokens
Latency~500ms~200ms

Choose Llama 3.2 90B Vision when:

  • ✓ Chart image analysis
  • ✓ Document scanning
  • ✓ Visual Q&A
Key Strengths:

Vision + language, Open weights, Good reasoning

Choose Codestral when:

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

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

Verdict: Llama 3.2 90B Vision vs Codestral

For cost efficiency, Codestral wins at $0.03/1M input tokens. For speed, Codestral is faster at ~200ms. Llama 3.2 90B Vision excels at Chart image analysis while Codestral is better for API integration code. 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 3.2 90B Vision costs $0.06/1M input tokens and $0.10/1M output tokens. Codestral costs $0.03 input and $0.05 output. Codestral is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.2 90B Vision has a 128K context window with ~500ms latency. Codestral offers 256K context at ~200ms. Codestral has the larger context window.

Best For

Llama 3.2 90B Vision (Vision) is optimized for: Chart image analysis, Document scanning, Visual Q&A. Codestral (Code) works best for: API integration code, SDK generation, Code review.

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 3.2 90B Vision
response_a = client.chat.completions.create(
    model="llama-3-2-90b-vision",
    messages=[{"role": "user", "content": "Your question here"}]
)

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

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.2 90B Vision or Codestral?

Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. Codestral (Code, 22B) offers 256K context for code. Choose Llama 3.2 90B Vision for Chart image analysis or Codestral for API integration code.

How much does Llama 3.2 90B Vision cost vs Codestral?

Llama 3.2 90B Vision: $0.06/1M input, $0.10/1M output. Codestral: $0.03/1M input, $0.05/1M 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 3.2 90B Vision and Codestral 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.