Llama 3.2 11B Vision vs StarCoder2 15B

Compare Llama 3.2 11B Vision and StarCoder2 15B: 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 Meta models All BigCode models What is an LLM API? Python Quickstart What is inference?
Feature Llama 3.2 11B Vision StarCoder2 15B
CategoryVisionCode
Parameters11B15B
Context Window128K16K
Input Price$0.02/1M tokens$0.02/1M tokens
Output Price$0.04/1M tokens$0.03/1M tokens
Latency~200ms~150ms

Choose Llama 3.2 11B Vision when:

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

Low cost vision, Fast, Compact

Choose StarCoder2 15B when:

  • ✓ Code completion
  • ✓ Code generation
  • ✓ Bug fixing
Key Strengths:

Strong coding, 600+ languages, Open weights

Verdict: Llama 3.2 11B Vision vs StarCoder2 15B

For cost efficiency, StarCoder2 15B wins at $0.02/1M input tokens. For speed, StarCoder2 15B is faster at ~150ms. Llama 3.2 11B Vision excels at Image classification while StarCoder2 15B 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

Llama 3.2 11B Vision costs $0.02/1M input tokens and $0.04/1M output tokens. StarCoder2 15B costs $0.02 input and $0.03 output. Both models are similarly priced. 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. StarCoder2 15B offers 16K context at ~150ms. 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. StarCoder2 15B (Code) works best for: Code completion, Code generation, Bug fixing.

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 StarCoder2 15B
response_b = client.chat.completions.create(
    model="starcoder2-15b",
    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 StarCoder2 15B?

Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. StarCoder2 15B (Code, 15B) offers Strong coding. Choose Llama 3.2 11B Vision for Image classification or StarCoder2 15B for Code completion.

How much does Llama 3.2 11B Vision cost vs StarCoder2 15B?

Llama 3.2 11B Vision: $0.02/1M input, $0.04/1M output. StarCoder2 15B: $0.02/1M input, $0.03/1M 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 StarCoder2 15B by changing the model parameter. No code changes needed.

Related Comparisons

Llama 3.2 11B Vision vs Vedika Vision Llama 3.2 11B Vision vs Vedika Code Llama 3.2 11B Vision vs Llama 3.2 90B Vision Llama 3.2 11B Vision vs DeepSeek Coder V2 Llama 3.2 11B Vision vs Qwen 2.5 Coder 32B Llama 3.2 11B Vision vs Qwen 2.5 VL 72B

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.