Llama 3.2 11B Vision vs Code Llama 70B

Compare Llama 3.2 11B Vision 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 Llama 3.2 11B Vision Code Llama 70B
CategoryVisionCode
Parameters11B70B
Context Window128K100K
Input Price$0.02/1M tokens$0.04/1M tokens
Output Price$0.04/1M tokens$0.06/1M tokens
Latency~200ms~300ms

Choose Llama 3.2 11B Vision when:

  • ✓ Image classification
  • ✓ OCR
  • ✓ Simple visual Q&A
Key Strengths:

Low cost vision, Fast, Compact

Choose Code Llama 70B when:

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

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

Verdict: Llama 3.2 11B Vision vs Code Llama 70B

For cost efficiency, Llama 3.2 11B Vision wins at $0.02/1M input tokens. For speed, Llama 3.2 11B Vision is faster at ~200ms. Llama 3.2 11B Vision excels at Image classification 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

Llama 3.2 11B Vision costs $0.02/1M input tokens and $0.04/1M output tokens. Code Llama 70B costs $0.04 input and $0.06 output. Llama 3.2 11B Vision is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.2 11B Vision has a 128K context window with ~200ms latency. Code Llama 70B offers 100K context at ~300ms. Llama 3.2 11B Vision has the larger context window.

Best For

Llama 3.2 11B Vision (Vision) is optimized for: Image classification, OCR, Simple visual Q&A. 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 Llama 3.2 11B Vision
response_a = client.chat.completions.create(
    model="llama-3-2-11b-vision",
    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"}]
)

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, Llama 3.2 11B Vision or Code Llama 70B?

Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. Code Llama 70B (Code, 70B) offers 100K context. Choose Llama 3.2 11B Vision for Image classification or Code Llama 70B for Large codebases.

How much does Llama 3.2 11B Vision cost vs Code Llama 70B?

Llama 3.2 11B Vision: $0.02/1M input, $0.04/1M 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 Llama 3.2 11B Vision 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.