Llama 3.2 3B vs StarCoder2 15B

Compare Llama 3.2 3B 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 3B StarCoder2 15B
CategoryCompactCode
Parameters3B15B
Context Window128K16K
Input Price$0.006/1M tokens$0.02/1M tokens
Output Price$0.012/1M tokens$0.03/1M tokens
Latency~40ms~150ms

Choose Llama 3.2 3B when:

  • ✓ Mobile apps
  • ✓ Edge inference
  • ✓ Preprocessing
Key Strengths:

Ultra-small, Edge-ready, Minimal latency

Choose StarCoder2 15B when:

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

Strong coding, 600+ languages, Open weights

Verdict: Llama 3.2 3B vs StarCoder2 15B

For cost efficiency, Llama 3.2 3B wins at $0.006/1M input tokens. For speed, StarCoder2 15B is faster at ~150ms. Llama 3.2 3B excels at Mobile apps 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 3B costs $0.006/1M input tokens and $0.012/1M output tokens. StarCoder2 15B costs $0.02 input and $0.03 output. Llama 3.2 3B is 3.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.2 3B has a 128K context window with ~40ms latency. StarCoder2 15B offers 16K context at ~150ms. Llama 3.2 3B has the larger context window.

Best For

Llama 3.2 3B (Compact) is optimized for: Mobile apps, Edge inference, Preprocessing. 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 3B
response_a = client.chat.completions.create(
    model="llama-3-2-3b",
    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 3B or StarCoder2 15B?

Llama 3.2 3B (Compact, 3B) offers Ultra-small. StarCoder2 15B (Code, 15B) offers Strong coding. Choose Llama 3.2 3B for Mobile apps or StarCoder2 15B for Code completion.

How much does Llama 3.2 3B cost vs StarCoder2 15B?

Llama 3.2 3B: $0.006/1M input, $0.012/1M 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 3B and StarCoder2 15B 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.